BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//eXtrovert Software (www.extrosoft.com)//NONSGML Thyme //EN_US
X-WR-CALNAME:All ME Calendars
X-WR-CALID:4@thyme-www.me.utexas.edu
METHOD:PUBLISH
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Atlantic/Cape_Verde
BEGIN:STANDARD
TZOFFSETTO:-0100
TZOFFSETFROM:+0000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Event
X-TH-EID:1
SEQUENCE:2
DTSTART:20060911T150000
DTEND:20060911T160000
DESCRIPTION:This is a test event
UID:c4ca4238a0b923820dcc509a6f75849b@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20060911T162045Z
LAST-MODIFIED:20060911T162130Z
ORGANIZER;CN="Administrator":MAILTO:vuralc@me.utexas.edu
CONTACT;CN="Administrator":MAILTO:vuralc@me.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:test
X-TH-EID:2
SEQUENCE:1
DTSTART:20060911T160000
DTEND:20060911T170000
UID:c81e728d9d4c2f636f067f89cc14862c@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20060911T184534Z
LAST-MODIFIED:20060911T184534Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Undergraduate Advising Begins
X-TH-EID:55
SEQUENCE:2
DTSTART;VALUE=DATE:20070319
CATEGORIES:ME EVENT
UID:b53b3a3d6ab90ce0268229151c9bde11@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210744Z
LAST-MODIFIED:20070221T213251Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:test no login
X-TH-EID:4
SEQUENCE:1
DTSTART:20060913T160000
DTEND:20060913T170000
UID:a87ff679a2f3e71d9181a67b7542122c@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20060911T212218Z
LAST-MODIFIED:20060911T212218Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Test sept 12 event
X-TH-EID:5
SEQUENCE:1
DTSTART:20060912T150000
DTEND:20060912T160000
UID:e4da3b7fbbce2345d7772b0674a318d5@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20060912T182629Z
LAST-MODIFIED:20060912T182629Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Test Category Post, category = meeting
X-TH-EID:6
SEQUENCE:1
DTSTART:20060920T150000
DTEND:20060920T160000
UID:1679091c5a880faf6fb5e6087eb1b2dc@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20060920T180029Z
LAST-MODIFIED:20060920T180029Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Spring Break
X-TH-EID:65
SEQUENCE:2
DTSTART;VALUE=DATE:20070314
CATEGORIES:UT EVENT
UID:fc490ca45c00b1249bbe3554a4fdf6fb@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T212336Z
LAST-MODIFIED:20070221T212941Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Spring Break
X-TH-EID:64
SEQUENCE:2
DTSTART;VALUE=DATE:20070313
CATEGORIES:UT EVENT
UID:ea5d2f1c4608232e07d3aa3d998e5135@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T212328Z
LAST-MODIFIED:20070221T212934Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Spring Break
X-TH-EID:63
SEQUENCE:2
DTSTART;VALUE=DATE:20070312
CATEGORIES:UT EVENT
UID:03afdbd66e7929b125f8597834fa83a4@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T212317Z
LAST-MODIFIED:20070221T212928Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:testing!
X-TH-EID:25
SEQUENCE:1
DTSTART;VALUE=DATE:20061214
UID:8e296a067a37563370ded05f5a3bf3ec@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20061214T172043Z
LAST-MODIFIED:20061214T172043Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:new years
X-TH-EID:21
SEQUENCE:1
DTSTART;VALUE=DATE:20061230
DESCRIPTION:welcome 2007
UID:3c59dc048e8850243be8079a5c74d079@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20061212T174137Z
LAST-MODIFIED:20061212T174137Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Spring Break
X-TH-EID:66
SEQUENCE:2
DTSTART;VALUE=DATE:20070315
CATEGORIES:UT EVENT
UID:3295c76acbf4caaed33c36b1b5fc2cb1@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T212343Z
LAST-MODIFIED:20070221T212948Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Explore UT
X-TH-EID:44
SEQUENCE:3
DTSTART:20070303T120000
DTEND:20070303T183000
CATEGORIES:UT EVENT
DESCRIPTION:The UT ''Biggest Open House in Texas'' fiesta\, featuring event
s and fun all across the UT campus for the whole family!
UID:f7177163c833dff4b38fc8d2872f1ec6@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210056Z
LAST-MODIFIED:20070221T213002Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Spring Break
X-TH-EID:67
SEQUENCE:3
DTSTART;VALUE=DATE:20070316
CATEGORIES:UT EVENT
UID:735b90b4568125ed6c3f678819b6e058@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T212349Z
LAST-MODIFIED:20070222T142347Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Undergraduate Advising Ends
X-TH-EID:54
SEQUENCE:2
DTSTART;VALUE=DATE:20070420
CATEGORIES:ME EVENT
UID:a684eceee76fc522773286a895bc8436@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210725Z
LAST-MODIFIED:20070221T213328Z
END:VEVENT
BEGIN:VEVENT
SUMMARY: Departmental External Advisory Committee Meeting
X-TH-EID:52
SEQUENCE:2
DTSTART;VALUE=DATE:20070405
CATEGORIES:ME EVENT
UID:9a1158154dfa42caddbd0694a4e9bdc8@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210625Z
LAST-MODIFIED:20070221T213307Z
END:VEVENT
BEGIN:VEVENT
SUMMARY: Departmental External Advisory Committee Meeting
X-TH-EID:53
SEQUENCE:2
DTSTART;VALUE=DATE:20070406
CATEGORIES:ME EVENT
UID:d82c8d1619ad8176d665453cfb2e55f0@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210641Z
LAST-MODIFIED:20070221T213313Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Operations Research Seminar
X-TH-EID:56
SEQUENCE:2
DTSTART:20070420T153000
DTEND:20070420T163000
CATEGORIES:ME EVENT
DESCRIPTION: Jian Yao\, D
epartment of Industrial Engineering and Operations Research\,
University of California\, Berkeley.
3:30-4:30 pm in ETC 5.132.
Comput
ing Two-settlement Equilibrium in a Transmission-Constrained Oligopolistic
Electricity Market
In the last two dec
ades\, many electricity sectors around the world have been undergoing a maj
or reform from a command-and-control industry to competitive m
arkets. Most US markets have been following a multiple-settlem
ent approach where forward transactions\, day-ahead transactions\, and real
-time transactions are settled sequentially at different price
s. In this talk\, I explore the effect of forward contracting on energy
prices and consumer benefits.
I view two-settlement (forward and spot) markets as a two-stage Nash-Cour
not model. This model accounts for flow congestion\, demand un
certainty and system contingencies\, and its subgame perfect Nash equilibri
um is formulated as a stochastic equilibrium problem with equi
librium constraints (EPEC)\, in which each firm solves a stoch
astic mathematical program with equilibrium constraints (MPEC). In each MPE
C\, the upper level is the firm''s utility-maximization proble
m in the forward market\, and the lower level\, which is shared by all MPEC
s\, is a parametric linear complementarity problem (LCP) chara
cterizing the equilibrium outcomes in the spot market.
The dimension and complexity of this model present a compu
tational challenge. I develop new MPEC/EPEC algorithms. The MP
EC algorithm represents the state variables as piece-wise linear functions
of the design variables\, and searches for a B-stationary poin
t via parametric LCP pivoting and finitely many quadratic prog
rams. I further construct an EPEC scheme by solving the MPEC problems itera
tively. Numerical examples demonstrate that the algorithms eff
ective solve both randomly-generated MPEC test problems and real-world
EPEC problems.
Finally\, I ap
ply the model to a stylized version of the Belgian electricity network\, an
d observe that\, with two settlements\, suppliers are willing
to engage in forward transactions despite the mitigating effect of such
transactions on their market power\; forward contracting reduces
spot prices and increases social welfare\; and producers write
more forward contracts when the markets become less concentrated.
UID:9f61408e3afb633e50cdf1b20de6f466@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210840Z
LAST-MODIFIED:20070221T213321Z
URL;VALUE=URI:https://www.me.utexas.edu/areas/orie/seminars/
END:VEVENT
BEGIN:VEVENT
SUMMARY:SAE Meeting
X-TH-EID:50
SEQUENCE:3
DTSTART:20070328T190000
DTEND:20070328T200000
CATEGORIES:STUDENT ORG
DESCRIPTION:The History of Hot Rodding\, and Building Rods and Kustoms for
Fun and Profit
Tyler Chamberlain and Arlo Blue of C
rushproof (a hot rod and custom fabrication and repair shop in Austin).
7:00 pm in ETC 2.136.
UID:c0c7c76d30bd3dcaefc96f40275bdc0a@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210440Z
LAST-MODIFIED:20070221T213117Z
URL;VALUE=URI:https://www.me.utexas.edu/~sae/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Byron Short Lecture
X-TH-EID:51
SEQUENCE:2
DTSTART:20070328T150000
DTEND:20070328T160000
CATEGORIES:ME EVENT
DESCRIPTION: Fallacies of a Hydrogen Economy
Dr. Frank Kreith\, Professor Emeritus of the University of Colorado<
br /> 3:00 pm in ETC 2.136.
UID:2838023a778dfaecdc212708f721b788@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210542Z
LAST-MODIFIED:20070221T213257Z
URL;VALUE=URI:https://www.me.utexas.edu/department/seminar.shtml#kreith
END:VEVENT
BEGIN:VEVENT
SUMMARY:Walk-in Advising Begins
X-TH-EID:57
SEQUENCE:2
DTSTART;VALUE=DATE:20070501
CATEGORIES:ME EVENT
UID:72b32a1f754ba1c09b3695e0cb6cde7f@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T210936Z
LAST-MODIFIED:20070221T213335Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Walk-in Advising Ends
X-TH-EID:58
SEQUENCE:1
DTSTART:20070608T120000
DTEND:20070608T130000
UID:66f041e16a60928b05a7e228a89c3799@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T211000Z
LAST-MODIFIED:20070221T211000Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Last Class Day
X-TH-EID:59
SEQUENCE:4
DTSTART;VALUE=DATE:20070504
CATEGORIES:UT EVENT
UID:093f65e080a295f8076b1c5722a46aa2@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T211018Z
LAST-MODIFIED:20070221T213354Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Graduation for College of Engineering
X-TH-EID:60
SEQUENCE:3
DTSTART:20070519T190000
DTEND:20070519T220000
CATEGORIES:ME EVENT
DESCRIPTION:@the Erwin Center
UID:072b030ba126b2f4b2374f342be9ed44@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T211055Z
LAST-MODIFIED:20070221T213343Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:First Day of Finals
X-TH-EID:61
SEQUENCE:4
DTSTART;VALUE=DATE:20070509
CATEGORIES:UT EVENT
UID:7f39f8317fbdb1988ef4c628eba02591@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T211309Z
LAST-MODIFIED:20070221T213401Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Last Day of Finals
X-TH-EID:62
SEQUENCE:4
DTSTART;VALUE=DATE:20070515
CATEGORIES:UT EVENT
UID:44f683a84163b3523afe57c2e008bc8c@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070221T211323Z
LAST-MODIFIED:20070221T213407Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Test for the Cal
X-TH-EID:68
SEQUENCE:1
DTSTART:20070817T120000
DTEND:20070817T130000
UID:a3f390d88e4c41f2747bfa2f1b5f87db@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070817T143832Z
LAST-MODIFIED:20070817T143832Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Advising
X-TH-EID:70
RRULE:FREQ=MONTHLY;INTERVAL=1;BYDAY=SU;BYSETPOS=1;UNTIL=20070827T000000
EXDATE:20070826T000000Z,20070825T000000Z
SEQUENCE:2
DTSTART:20070822T090000
DTEND:20070822T170000
UID:7cbbc409ec990f19c78c75bd1e06f215@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T153255Z
LAST-MODIFIED:20070822T153439Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Advising
X-TH-EID:71
RRULE:FREQ=MONTHLY;INTERVAL=1;BYDAY=SU;BYSETPOS=1;UNTIL=20070824T000000
SEQUENCE:2
DTSTART:20070822T090000
DTEND:20070822T170000
UID:e2c420d928d4bf8ce0ff2ec19b371514@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T153528Z
LAST-MODIFIED:20070822T153618Z
LOCATION:Graduate Office
END:VEVENT
BEGIN:VEVENT
SUMMARY:Advising
X-TH-EID:72
SEQUENCE:1
DTSTART:20070822T090000
DTEND:20070822T170000
UID:32bb90e8976aab5298d5da10fe66f21d@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T153710Z
LAST-MODIFIED:20070822T153710Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Advising
X-TH-EID:73
SEQUENCE:1
DTSTART:20070823T090000
DTEND:20070823T170000
UID:d2ddea18f00665ce8623e36bd4e3c7c5@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T153736Z
LAST-MODIFIED:20070822T153736Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Advising
X-TH-EID:74
SEQUENCE:1
DTSTART:20070824T090000
DTEND:20070824T170000
UID:ad61ab143223efbc24c7d2583be69251@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154047Z
LAST-MODIFIED:20070822T154047Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Orientation
X-TH-EID:75
SEQUENCE:1
DTSTART;VALUE=DATE:20070822
DESCRIPTION:Orientation and testing begin for new undergraduate students.
UID:d09bf41544a3365a46c9077ebb5e35c3@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154217Z
LAST-MODIFIED:20070822T154217Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Registration
X-TH-EID:76
SEQUENCE:1
DTSTART;VALUE=DATE:20070823
DESCRIPTION:Registration for the fall semester for new and readmitted stude
nts who have not yet registered. To complete registration\, undergraduate s
tudents must pay tuition and fees by 5:00 pm on August 28\; graduate and la
w students must pay tuition and fees by 5:00 pm on September 4.
UID:fbd7939d674997cdb4692d34de8633c4@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154401Z
LAST-MODIFIED:20070822T154401Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Registration
X-TH-EID:77
SEQUENCE:1
DTSTART;VALUE=DATE:20070824
DESCRIPTION:Registration for the fall semester for new and readmitted stude
nts who have not yet registered. To complete registration\, undergraduate s
tudents must pay tuition and fees by 5:00 pm on August 28\; graduate and la
w students must pay tuition and fees by 5:00 pm on September 4.
UID:28dd2c7955ce926456240b2ff0100bde@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154423Z
LAST-MODIFIED:20070822T154423Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Residence Halls Open
X-TH-EID:78
SEQUENCE:1
DTSTART:20070824T090000
DTEND:20070824T100000
DESCRIPTION:University residence halls open at 9:00 am.
UID:35f4a8d465e6e1edc05f3d8ab658c551@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154518Z
LAST-MODIFIED:20070822T154518Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Add/Drop
X-TH-EID:79
SEQUENCE:1
DTSTART;VALUE=DATE:20070826
DESCRIPTION:Add/drop for the fall semester for students who registered and
paid their tuition and fees by August 15.
UID:d1fe173d08e959397adf34b1d77e88d7@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154623Z
LAST-MODIFIED:20070822T154623Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Registration
X-TH-EID:80
SEQUENCE:1
DTSTART;VALUE=DATE:20070827
DESCRIPTION:Registration for the fall semester for continuing students who
have not yet registered. To complete registration\, undergraduate students
must pay tuition and fees by 5:00 pm on August 28\; graduate and law studen
ts must pay tuition and fees by 5:00 pm on September 4.University Health Se
rvices benefits become available to registered students.
UID:f033ab37c30201f73f142449d037028d@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154709Z
LAST-MODIFIED:20070822T154709Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Add/Drop for the Fall Semester
X-TH-EID:81
SEQUENCE:3
DTSTART;VALUE=DATE:20070828
DESCRIPTION:Add/drop for the fall semester for students who registered and
paid their tuition and fees by September 4. \; Deadline for graduate st
udents to be registered in absentia for the fall semester. \; Tuition a
nd fee bills for undergraduate students who registered after July 20 are du
e by 5:00 pm.
UID:43ec517d68b6edd3015b3edc9a11367b@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154822Z
LAST-MODIFIED:20070828T162813Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Classes Begin
X-TH-EID:82
SEQUENCE:1
DTSTART;VALUE=DATE:20070829
DESCRIPTION:Classes begin.International Education Fee Scholarship (IEFS) co
mpetition begins for the spring semester.
UID:9778d5d219c5080b9a6a17bef029331c@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070822T154904Z
LAST-MODIFIED:20070822T154904Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:• 2007 Mechanical Engineering Academy of Distinguished Alumni Awards
X-TH-EID:85
SEQUENCE:1
DTSTART:20071026T180000
DTEND:20071026T220000
DESCRIPTION:The Academy strives to: Recognize outstanding UT mechanical eng
ineers publicly among UT community and Engineering community\; Champion our
own professions\; Create a sense of community and camaraderie within the D
epartment\; Facilitate interaction and continuity with the student body and
our alumni and corporate friends.
UID:3ef815416f775098fe977004015c6193@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T151827Z
LAST-MODIFIED:20070828T151827Z
LOCATION:ETC T-Room
END:VEVENT
BEGIN:VEVENT
SUMMARY:11th Annual ME Tailgate Party
X-TH-EID:86
SEQUENCE:1
DTSTART:20071027T120000
DTEND:20071027T130000
DESCRIPTION:Time TBD by UT vs. Nebraska football game time.
Join us fo
r socializing with the Department of Mechanical Engineering alumni\, facult
y\, students\, friends &\; families.
Visit the ME Tailgate website
for more information.
UID:93db85ed909c13838ff95ccfa94cebd9@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T152121Z
LAST-MODIFIED:20070828T152121Z
LOCATION:Parking Lot #56
END:VEVENT
BEGIN:VEVENT
SUMMARY:Fall 2007 Mechanical Engineering External Advisory Committee Meetings
X-TH-EID:87
RRULE:FREQ=DAILY;INTERVAL=1;UNTIL=20071026T000000
SEQUENCE:3
DTSTART:20071025T090000
DTEND:20071025T170000
DESCRIPTION:Thursday\, October 25 &ndash\; Friday\, October 26\, 2007\; ETC
4.110 \; \; \; \; \; \; \; \; \; \
; \; \; \; \; \;
2 days of meetings with our indu
strial partners \; \; \; \; \;
EAC Banquet: Thurs
day\, October 25\, 2007\, 6:00 p.m.\, at the Etter-Harbin Alumni Center
UID:c7e1249ffc03eb9ded908c236bd1996d@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T152319Z
LAST-MODIFIED:20070828T152528Z
LOCATION:ETC 4.110
END:VEVENT
BEGIN:VEVENT
SUMMARY:Fall 2007 Mechanical Engineering External Advisory Committee Banquet
X-TH-EID:88
SEQUENCE:1
DTSTART:20071025T180000
DTEND:20071025T220000
DESCRIPTION:EAC Banquet: Thursday\, October 25\, 2007\, 6:00 p.m.\, at the
Etter-Harbin Alumni Center
UID:2a38a4a9316c49e5a833517c45d31070@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T152651Z
LAST-MODIFIED:20070828T152651Z
LOCATION:Etter-Harbin Alumni Center
END:VEVENT
BEGIN:VEVENT
SUMMARY:METER Computer Labs Open
X-TH-EID:89
SEQUENCE:1
DTSTART:20070829T080000
DTEND:20070830T000000
DESCRIPTION: The Mecha
nical Engineering Technology and Educational Resources Lab (METER)\, former
ly known as the ME LRC has moved to ETC 2.126\, on the west side of the sec
ond floor. METER opens August 29 at 8:00a.m.
UID:7647966b7343c29048673252e490f736@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T153030Z
LAST-MODIFIED:20070828T153030Z
LOCATION:ETC 2.126
END:VEVENT
BEGIN:VEVENT
SUMMARY:Graduate Student Deadline
X-TH-EID:90
SEQUENCE:1
DTSTART;VALUE=DATE:20070828
DESCRIPTION:Deadline for graduate students to be registered in absentia for
the fall semester.
UID:8613985ec49eb8f757ae6439e879bb2a@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T181403Z
LAST-MODIFIED:20070828T181403Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Labor Day Holiday
X-TH-EID:91
RRULE:FREQ=YEARLY;INTERVAL=1;WKST=MO
SEQUENCE:1
DTSTART:20070903T120000
DTEND:20070903T130000
UID:54229abfcfa5649e7003b83dd4755294@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T222407Z
LAST-MODIFIED:20070828T222407Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Last day of the official add/drop period
X-TH-EID:92
SEQUENCE:2
DTSTART;VALUE=DATE:20070904
DESCRIPTION:Last day of the official add/drop period\; after this date\,
changes in registration require the approval of the department chair and u
sually the student&rsquo\;s dean. (See General Inform
ation\, chapter 4\, for details.)
Last day undergraduate students
may register and pay tuition and fees without the approval of the registra
r.
Last day graduate students may register and pay tuition and fees w
ithout the approval of the graduate dean.
Last day law students may r
egister and pay tuition and fees without the approval of the dean.
5:
00 pm: Tuition and fee payment deadline for graduate and law students. Tuit
ion and fees may be paid in full or in installments.
\;
UID:92cc227532d17e56e07902b254dfad10@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T222903Z
LAST-MODIFIED:20070828T223116Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Twelfth class day
X-TH-EID:93
SEQUENCE:1
DTSTART;VALUE=DATE:20070914
DESCRIPTION:Twelfth class day\; this is the date the official enrollment
count is taken. Last day an undergraduate student may add a class except f
or rare and extenuating circumstances.
Payment for added classes (add
bill) due by 5:00 pm. \;
Last day to drop a class for a possible
refund. (See General Information\, chapter 4\, f
or details.)
Last day a graduate student or a law student may\,
with the required approvals\, add a class.
UID:98dce83da57b0395e163467c9dae521b@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T223356Z
LAST-MODIFIED:20070828T223356Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Last day to drop a class
X-TH-EID:94
SEQUENCE:1
DTSTART;VALUE=DATE:20070926
DESCRIPTION:Last day to drop a class without a possible academic penalty. (
See General Information\, chapter 4\, for details
.)
UID:f4b9ec30ad9f68f89b29639786cb62ef@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070828T223453Z
LAST-MODIFIED:20070828T223453Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Test Event
X-TH-EID:95
SEQUENCE:1
DTSTART:20070905T120000
DTEND:20070905T130000
DESCRIPTION:Testing iCal subscription.
UID:812b4ba287f5ee0bc9d43bbf5bbe87fb@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070905T143049Z
LAST-MODIFIED:20070905T143049Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Graduate Program Spring Applications Due
X-TH-EID:96
SEQUENCE:1
DTSTART;VALUE=DATE:20071001
UID:26657d5ff9020d2abefe558796b99584@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070910T155635Z
LAST-MODIFIED:20070910T155635Z
ORGANIZER;CN="Graduate Program":MAILTO:gradofc@me.utexas.edu
CONTACT;CN="Graduate Program":MAILTO:gradofc@me.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:Graduate Program Summer/Fall Applications Due
X-TH-EID:97
SEQUENCE:1
DTSTART;VALUE=DATE:20071215
UID:e2ef524fbf3d9fe611d5a8e90fefdc9c@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070910T155658Z
LAST-MODIFIED:20070910T155658Z
ORGANIZER;CN="Graduate Program":MAILTO:gradofc@me.utexas.edu
CONTACT;CN="Graduate Program":MAILTO:gradofc@me.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ME 366J Advising
X-TH-EID:98
RRULE:FREQ=DAILY;INTERVAL=1;UNTIL=20070921T000000
SEQUENCE:1
DTSTART:20070917T083000
DTEND:20070917T084500
DESCRIPTION:ME 366J Advising by Appointment Only. \; Appointments can b
e made online at \; https://www.engr.utexas.edu/scheduler/?
UID:ed3d2c21991e3bef5e069713af9fa6ca@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070910T205712Z
LAST-MODIFIED:20070910T205712Z
ORGANIZER;CN="Undergrad Program":MAILTO:meugo@me.utexas.edu
CONTACT;CN="Undergrad Program":MAILTO:meugo@me.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:Spring 2008 Advising
X-TH-EID:99
RRULE:FREQ=DAILY;INTERVAL=1;UNTIL=20071102T000000
SEQUENCE:1
DTSTART:20071001T083000
DTEND:20071001T084500
DESCRIPTION:Spring 2008 Advising -- By Appointment ONLY. \; Advising appointments are only for Basic and Condit
ional Sequence M.E. students. \; Appointments will last approxim
ately 15 minutes. \; Students can schedule Spring 2008 Advising appoint
ments online at www.engr.utexas.edu/scheduler
\;
UID:ac627ab1ccbdb62ec96e702f07f6425b@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070910T210728Z
LAST-MODIFIED:20070910T210728Z
ORGANIZER;CN="Undergrad Program":MAILTO:meugo@me.utexas.edu
CONTACT;CN="Undergrad Program":MAILTO:meugo@me.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:Staff Meeting
X-TH-EID:100
SEQUENCE:1
DTSTART:20070911T090000
DTEND:20070911T100000
UID:f899139df5e1059396431415e770c6dd@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070911T133637Z
LAST-MODIFIED:20070911T133637Z
LOCATION:5.220
END:VEVENT
BEGIN:VEVENT
SUMMARY:Web Committee Meeting
X-TH-EID:101
SEQUENCE:1
DTSTART:20070911T160000
DTEND:20070911T170000
UID:38b3eff8baf56627478ec76a704e9b52@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070911T133745Z
LAST-MODIFIED:20070911T133745Z
LOCATION:Chair's Conference Room
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Supply Chain and Operations Management Seminar GSB 3.106
X-TH-EID:102
SEQUENCE:3
DTSTART:20070921T100000
DTEND:20070921T113000
DESCRIPTION:Speaker: J. George Shanthikumar
\; \; \;
\; \; \; \; \; \;
Presentation Title: Incorporati
ng Model Uncertainty\, Robust Optimization and Learning in Operations Manag
ement
Abstract: Classical modeling approaches in Operations Mana
gement under uncertainty assume a full probabilistic characterization. The
learning needed to implement the policies derived from these models is acco
mplished either through (i) classical statistical estimation procedures or
(ii) subjective Bayesian priors. When the data available for learning is li
mited\, or the underlying uncertainty is non-stationary\, the error induced
by these approaches can be significant and the effectiveness of the polici
es derived will be reduced. In this presentation we discuss how we may inco
rporate these errors in the model (that is\, model model uncertainty) and u
se robust optimization to derive efficient policies. Different models of mo
del uncertainty will be discussed and different approaches to robust optimi
zation with and without bench-marking will be presented. Two alternative le
arning approaches Objective Bayesian Learning and Operational Learning will
be discussed. These approaches could be used to calibrate the models of mo
del uncertainty and to calibrate the optimal policies. Throughout this talk
we will consider the classical inventory control problem\, the inventory c
ontrol problem with censored demand data and the asset allocation problem a
s examples to illustrate these ideas.
This presentation is based on o
ngoing joint research work with Andrew E. B. Lim &\; Z. J. Max Shen.
\;
Paper:http://www.mccombs.ute
xas.edu/news/research_calendar/SCOM_Shanthikumar_9_21_07.pdf
UID:ec8956637a99787bd197eacd77acce5e@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070918T145805Z
LAST-MODIFIED:20070919T211624Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
LOCATION:GSB 3.106
END:VEVENT
BEGIN:VEVENT
SUMMARY:SAE Meeting
X-TH-EID:104
SEQUENCE:1
DTSTART:20070924T190000
DTEND:20070924T210000
CATEGORIES:STUDENT ORG
DESCRIPTION:We are pleased to announce the first UT SAE meeting for 2007
-08.
Speaker: Shana Shaw\, General Motors
Topic: "\;An
Overview of the GM Performance Division"\;
FREE pizza and
soft drinks courtesy of GM
PLUS SAE officer elections
All interes
ted parties are invited to attend
UID:c9e1074f5b3f9fc8ea15d152add07294@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070918T175234Z
LAST-MODIFIED:20070918T175234Z
ORGANIZER;CN="Dave Dart":MAILTO:dave.dart@me.utexas.edu
CONTACT;CN="Dave Dart":MAILTO:dave.dart@me.utexas.edu
LOCATION:ETC 2.108
END:VEVENT
BEGIN:VEVENT
SUMMARY:ETC 2nd Floor West Entrance Closed
X-TH-EID:105
RRULE:FREQ=DAILY;INTERVAL=1;UNTIL=20071119T000000
SEQUENCE:2
DTSTART;VALUE=DATE:20070919
DESCRIPTION:The 2nd floor west entrance to ETC will be closed beginning Wed
nesday\, September 19 for demolition of the entrance and canopy. \; The
entrance is expected to be closed for about 6 &ndash\; 8 weeks. \; Dur
ing this period all building occupants will need to use alternate entrances
: \; 1. \; 2nd floor T-Room corridor on the east side of the buildi
ng (accessible on the sidewalk on level 2 around the perimeter of the build
ing) or 2. \; entrances on level 1 &ndash\; either from Dean Keeton on
the south side or through the loading dock entry on the north side of the b
uilding.
Emergency Evacuation Routes -
Exit down stairways\
, never use elevators
Stairway #1 (south) - go to 1st floor and exit
south towards Dean Keeton &ndash\; Evacuees should continue to Speedway and
gather in front of CPE to avoid impeding emergency responders
Stairwa
y #2 (north) - two possibilities &ndash\; 1. \; exit through north east
corridor in T-Room and progress around perimeter of ETC and gather in fron
t of CPE &ndash\; well away from the ETC building \; 2. \; Exit on
level 1 and continue out into the loading dock &ndash\; gather on the sidew
alk next to the chilling tower.
UID:65b9eea6e1cc6bb9f0cd2a47751a186f@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070918T190640Z
LAST-MODIFIED:20070918T190816Z
ORGANIZER;CN="Dave Dart":MAILTO:dave.dart@me.utexas.edu
CONTACT;CN="Dave Dart":MAILTO:dave.dart@me.utexas.edu
LOCATION:ETC 2nd Floor West Entrance
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: A Tabu Search Approach to the
X-TH-EID:106
SEQUENCE:7
DTSTART:20070928T140000
DTEND:20070928T150000
CATEGORIES:SEMINAR
DESCRIPTION:Speaker: Micheal Ciarleglio
E
TC 5.148
A new tabu search methodology is applied to t
he spatial conservation area network design problem (SCANP)\, which blends
a set covering problem with additional spatial requirements. \; Given a
set of possible geographic reserve sites\, the goal is to select which sit
es to place under conservation to preserve elements of biodiversity. \;
The effectiveness of this network depends heavily on spatial characteristi
cs including shape\, connectedness\, and replication\, but these properties
are difficult (or intractable) to address using classical methods.
&n
bsp\;
MASTS (Modular Adaptive Self-Learning Tabu Search) is a metaheur
istic approach that incorporates state-of-the-art techniques such as rule b
ased objectives (RBOs) and dynamic neighborhood selection (DNS). RBOs are c
omparison operators that define a precise order on the space of solutions.&
nbsp\; We demonstrate that intransitive comparison operators may be used to
improve solution quality while saving computation time. \; In addition
\, we describe a strategic approach to DNS\, which can improve search perfo
rmance by directing the search to promising regions.
\;
Michael Ciarleglio is currently a fifth year doctoral candidate in the ACES
program. \; He received a bachelor&rsquo\;s degree in Mechanical Engin
eering/Math from Vanderbilt University in 2001.
\;
UID:f0935e4cd5920aa6c7c996a5ee53a70f@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070919T141403Z
LAST-MODIFIED:20070927T135554Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Mike West
X-TH-EID:107
SEQUENCE:5
DTSTART:20071005T031500
DTEND:20071005T041500
CATEGORIES:SEMINAR
DESCRIPTION:Sparcity in Statistical Modeling
The concepts and me
thods of sparsity modeling are key to problems of model specification\, var
iable selection and multivariate structure assessment in statistical scienc
e. Sparsity also provides the foundation for scaling statistical models fro
m the viewpoints of both scientific parsimony and computational accessibili
ty/feasibility. My talk will overview a range of developments in the applic
ation of sparsity modeling in modern\, model-based analysis of multivariate
data arising in problems with very many parameters. I will touch on specif
ic contexts including high-dimensional latent factor analysis and graphical
models\, speaking to both modeling concepts and computational questions\,
and drawing on applied studies in areas including pathway genomics and fina
ncial time series analysis.
Dr. Mike West\, Arts &am
p\; Sciences Professor of Statistical Science and Director of Graduate Stud
ies\, Department of Statistical Science (Duke University) Sparsity in Stati
stical Modeling
\;
UID:a97da629b098b75c294dffdc3e463904@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070919T141704Z
LAST-MODIFIED:20070919T211703Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
URL;VALUE=URI:http://ssc.utexas.edu/lecture/lecture_info.html
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Paul Zipkin
X-TH-EID:108
SEQUENCE:4
DTSTART:20071019T100000
DTEND:20071019T110000
DESCRIPTION:Consider an inventory system with multiple supply sources. T
he replenishment leadtimes from each source are stochastic\, representing c
ongestion and disruption. We develop performance evaluation tools for a fam
ily of reasonable order policies. These policies take into account real-tim
e supply information\, which can be obtained through tracking technologies
such as GPS and RFID. Performance evaluation of such state-dependent polici
es is generally hard. The main thrust of the paper is to show that\, under
these policies\, the supply system becomes a network of queues with a speci
al routing mechanism called an overflow bypass. The solution has a simple p
roduct form. Thus\, we obtain closed-form performance measures. These resul
ts reinterpret and extend Moinzadeh and Schmidt''s analysis of a system wit
h two sources having deterministic leadtimes. We further extend the analysi
s to batch ordering policies and multiple demand classes.
\
;
Bio: Dr. Paul Zipkin is the R. J. Reynolds Professor of Business Adm
inistration at the Fuqua School of Business\, Duke University. His academic
degrees come from Reed\, Berkeley\, and Yale. His teaching\, research\, an
d consulting focus on how supply chains work and how to make them work bett
er\, and their strategic roles in the success or failure of companies in th
e global marketplace. Within this broad theme\, his work is concerned with
issues of inventory management in supplier-customer relations\; the impact
of new production and communications technologies on supply-chain performan
ce\; coping with product variety at both the operational and strategic leve
ls\; and the design of logistics networks. He has published some 60 article
s in scholarly journals and co-edited the book\, Logistics of Production an
d Inventory. He is the author of the book\, Foundations of Inventory Manage
ment. He serves on the editorial boards of several journals and often advis
es companies\, government agencies\, and other organizations. He is a Fello
w of INFORMS and the Manufacturing &\; Services Operations Management So
ciety.
UID:a3c65c2974270fd093ee8a9bf8ae7d0b@thyme-www.me.utexas.edu
DTSTAMP:20080515T183525Z
CREATED:20070919T142120Z
LAST-MODIFIED:20071019T195242Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
URL;VALUE=URI:http://www.mccombs.utexas.edu/news/research_calendar/SCOM_Zip
kin_10_19_07.pdf
END:VEVENT
BEGIN:VEVENT
SUMMARY:Joint Workshop UT & Itajuba
X-TH-EID:109
ATTACH;FMTTYPE=application/pdf:https://www.me.utexas.edu/thyme/download_att
achment.php?aid=1&f=Joint+workshop+between+The+University+of+Texas+at+A
ustin+and+University+of+Itajuba%2C+Brazil.pdf
SEQUENCE:3
DTSTART:20071012T013000
DTEND:20071012T050000
UID:2723d092b63885e0d7c260cc007e8b9d@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T142159Z
LAST-MODIFIED:20071011T153114Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:J. Eric Bickel - Scoring Rules
X-TH-EID:110
SEQUENCE:10
DTSTART:20071026T140000
DTEND:20071026T150000
DESCRIPTION:Strictly proper scoring rules continue to play an important
role in probability assessment. While many such rules have been developed\,
relatively little guidance exists as to which rule is the most appropriate
. In this talk\, we discuss two important properties of quadratic\, spheric
al\, and logarithmic scoring rules. From an ex post perspective\, we compar
e their rank-order properties and conclude that both quadratic and spherica
l scoring can perform poorly in this regard\, relative to logarithmic. From
an ex ante perspective\, we demonstrate that in many situations\, logarith
mic scoring is the least affected by a non-linear utility function. These r
esults suggest that logarithmic scoring is superior when rank order results
are important and/or when the assessor has a nonlinear utility function. I
n addition to these results\, and perhaps more importantly\, we demonstrate
that non-linear utility induces relatively little deviation from the optim
al assessment under an assumption of risk neutrality. These results provide
both comfort and guidance to those that would like to use scoring rules as
part of the probability assessment process.
Dr. Bickel is a
n Assistant Professor in the Department of Industrial and Systems Engineeri
ng at Texas A&\;M University and Director of the Decision Analysis Syste
ms Lab. His research interests include the theory and practice of decision
making under uncertainty (decision and risk analysis)\, modeling probabilis
tic dependence\, probability assessment\, value of information\, personal a
nd organizational risk preference\, applications of decision analysis to en
gineering and business&mdash\;especially oil and gas\, and applications of
decision analysis to sport&mdash\;especially baseball.
Prior to
joining Texas A&\;M\, Dr. Bickel was a Senior Engagement Manager for Str
ategic Decisions Group\, where he applied decision analysis to corporate st
rategy. He has consulted around the world in a range of industries\, includ
ing oil and gas\, electricity generation/transmission/delivery\, energy tra
ding and marketing\, commodity and specialty chemicals\, life sciences\, fi
nancial services\, and metals and mining.
Dr. Bickel holds an M.
S. and Ph.D. in Engineering-Economic Systems from Stanford University.
\;
UID:5f93f983524def3dca464469d2cf9f3e@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T142224Z
LAST-MODIFIED:20071023T144348Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
URL;VALUE=URI:http://www.me.utexas.edu/areas/orie/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Jens Brunner
X-TH-EID:111
SEQUENCE:4
DTSTART;VALUE=DATE:20071102
UID:698d51a19d8a121ce581499d7b701668@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T142257Z
LAST-MODIFIED:20071023T141055Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Arnold Zellner
X-TH-EID:112
SEQUENCE:3
DTSTART:20071109T151500
DTEND:20071109T161500
DESCRIPTION:Information Theory and Statistics
After describing s
ome aspects of information theory\, it will be shown how it has been employ
ed not only to produce models for observations and prior densities for thei
r parameters but also to derive optimal learning models\, including Bayes''
theorem. These optimal learning models have the property that input inform
ation equals output information and thus they are 100% efficient\, as recog
nized in the literature. Some of these learning models permit inverse infer
ence to be performed without the use of a prior density and/or a likelihood
function. Examples and references illustrating the derivations and uses of
such models will be provided and discussed. By having a set of optimal lea
rning models\, including Bayes'' theorem\, on the shelf to help solve a var
iety of inference and decision problems\, statisticians and other scientist
s will be more effective in their work.
Dr. Arnold Zelln
er\, H.G.B. Alexander Distinguished Service Professor Emeritus of
Economics and Statistics\, Graduate School of Business (University of Chica
go)Information Theory and Statistics
UID:7f6ffaa6bb0b408017b62254211691b5@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T142438Z
LAST-MODIFIED:20070919T211841Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
URL;VALUE=URI:http://ssc.utexas.edu/lecture/lecture_info.html
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Dennis Cox
X-TH-EID:113
SEQUENCE:6
DTSTART:20071116T140000
DTEND:20071116T150000
CATEGORIES:SEMINAR
DESCRIPTION:Dennis Cox
Rice University
joint work with R
obert Hardt of Rice University Department of Mathematics\, and Petr Kloucek
of the University of Neuchatal Instititute of Mathematics
Simul
ated annealing is an easy to program approach for complex optimization prob
lems\, particularly for problems with multiple optima. \; We consider s
imulated annealing with a continuous state space when there are complex equ
ality constraints. \; Several investigators have proposed a relaxation
method where a multiple of the constraint equations is added into the objec
tive\, and then the temperature of the constraint is lowered along with the
temperature of the objective\, possible in different orders. \; We sho
w that this will work provided certain regularity conditions are met\, but
there are examples where the result converges to infeasible or non-optimal
solutions. \; A complex materials science problem (modeling equilibrium
states of Martensitic materials) is the motivating example.
\; <
br />Dennis Cox received his Ph.D. degree in Mathematics from the Unive
rsity of Washington in 1980. \; He has held faculty positions at the Un
iversities of Wisconsin and Illinois\, and is currently in the Department o
f Statistics at Rice University. \; Dr. Cox has done research in probab
ility in abstract spaces\, applied probability\, nonparametric function est
imation\, time series analysis\, monte carlo methods\, stochastic optimizat
ion\, spatial statistics\, and various applied statistics problems in colla
boration with investigators from other fields.
\;
UID:73278a4a86960eeb576a8fd4c9ec6997@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T142533Z
LAST-MODIFIED:20071113T173527Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
LOCATION:ETC 5.132
END:VEVENT
BEGIN:VEVENT
SUMMARY:NO SEMINAR
X-TH-EID:114
SEQUENCE:1
DTSTART;VALUE=DATE:20071123
UID:5fd0b37cd7dbbb00f97ba6ce92bf5add@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T142554Z
LAST-MODIFIED:20070919T142554Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Andy Boyd
X-TH-EID:115
SEQUENCE:4
DTSTART:20071130T140000
DTEND:20071130T150000
DESCRIPTION:How Pricing Science is Evolving in Business and What
This Means for Academic Research
\;
Pricing has be
en practiced since the advent of commerce\, but scientific pricing using fo
recasting\, optimization\, and the rational analysis of data are only now b
eing broadly adopted. In this talk\, we categorize some of the main areas o
f pricing as they are being defined by the market and discuss the implicati
ons for academic research.
Bio-sketch
E. Andrew Boyd is the
Chief Scientist and Senior Vice President\, Science and Research at PROS.&
nbsp\; He is one of the original designers of the CPLEX linear programming
library\, now part of ILOG\, and is founding president of the INFORMS Secti
on on Revenue Management and Pricing. He has over 25 scholarly publications
to his credit\, numerous research grants from agencies such as the Nationa
l Science Foundation\, several technical articles and book chapters\, and h
as been an active participant at both scientific and industry conferences o
n pricing and revenue optimization. His book\, The Future of Pricing: How A
irline Ticket Pricing Has Inspired a Revolution\, was released in October o
f 2007.
Dr. Boyd received his A.B. with Honors at Oberlin College with
majors in Mathematics and Economics in 1981\, and his Ph.D. in Operations
Research from the Massachusetts Institute of Technology in 1987. Prior to j
oining PROS\, he enjoyed a successful career as a university professor.&nbs
p\;
\;
UID:2b44928ae11fb9384c4cf38708677c48@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T142615Z
LAST-MODIFIED:20071025T190204Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:Outage Scheduled
X-TH-EID:116
SEQUENCE:1
DTSTART:20070926T080000
DTEND:20070926T120000
DESCRIPTION:Outage Scheduled:
Service Interrupted: \; High Pressur
e Steam
Area Affected: \; Entire ETC Building
Date: \; We
dnesday\, September 26
Time: \; 8:00 AM &ndash\; Noon
Results
: \; No domestic hot water + HVAC output may be slightly cooler
UID:c45147dee729311ef5b5c3003946c48f@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070919T184733Z
LAST-MODIFIED:20070919T184733Z
ORGANIZER;CN="Dave Dart":MAILTO:dave.dart@me.utexas.edu
CONTACT;CN="Dave Dart":MAILTO:dave.dart@me.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:Tito Homem-de-Mello
X-TH-EID:119
SEQUENCE:3
DTSTART:20071109T133000
DTEND:20071109T143000
CATEGORIES:SEMINAR
DESCRIPTION:In this talk we discuss some approaches to solve stochastic
optimization problems based on sampling approximations. We first motivate t
he model and review some of the algorithms and convergence results and foun
d in the literature. We then study the use of Quasi-Monte Carlo (QMC) techn
iques for these problems. \; QMC methods can be thought of as extension
s of quadrature rules used to approximate integrals and have proven very ef
fective in many areas\, including finance. Application of such techniques\,
however\, require care\, and a naive implementation that simply applies QM
C to all variables in the problem can "\;backfire"\; in higher-dime
nsional problems. Here\, we discuss how these techniques can be used in the
context of stochastic optimization. We present some theoretical results an
d discuss some implementation aspects. One particular issue we focus on is
that of dimensionality referred to above. Some numerical results are presen
ted to illustrate the ideas.
BIO: Tito Homem-de-Mello is an Asso
ciate Professor in the Department of Industrial Engineering and Management
Sciences at Northwestern University. \; He received his PhD degree in O
perations Research from the Georgia Institute of Technology in 1998. His cu
rrent research interests include stochastic optimization\, simulation analy
sis methodology\, and stochastic models for transportation and revenue mana
gement. He is currently an Associate Editor of Operations Research\, ACM Tr
ansactions on Modeling and Computer Simulation\, and Computational Optimiza
tion and Applications. His e-mail and web
addresses are tito@northwest
ern.edu and http://users.iems.northwestern.edu/~tito/.
UID:07e1cd7dca89a1678042477183b7ac3f@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20070924T190112Z
LAST-MODIFIED:20071113T173838Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:Test Addition
X-TH-EID:121
SEQUENCE:1
DTSTART:20080510T120000
DTEND:20080510T130000
CATEGORIES:UT EVENT
UID:4c56ff4ce4aaf9573aa5dff913df997a@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080117T170720Z
LAST-MODIFIED:20080117T170720Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:Test Addition 2
X-TH-EID:122
SEQUENCE:1
DTSTART:20080717T120000
DTEND:20080717T130000
CATEGORIES:UT EVENT
UID:a0a080f42e6f13b3a2df133f073095dd@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080117T170808Z
LAST-MODIFIED:20080117T170808Z
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Natarajan Gautam - Texas A&M
X-TH-EID:123
SEQUENCE:3
DTSTART:20080125T140000
DTEND:20080125T150000
CATEGORIES:SEMINAR
DESCRIPTION:Data centers typically consist of hundreds to thousands of s
ervers that consume a phenomenal amount of electric power. In the seminar w
e initially describe various research issues that need to be addressed in t
his specific context as well as the role of operations research in a more g
eneric context\, namely\, green computing. Then we present a resource manag
ement problem (for optimally turning off servers\, moving applications\, co
ntrolling server speeds\, etc.) to reduce energy consumption in data center
s. We take advantage of the fact that user requests vary tremendously both
spatially and temporally\, and build a statistical model to predict user-re
quest patterns. Then we use a quasi-static control approach via a queueing
model to obtain performance measures and then formulate and solve a mixed n
on-linear-integer programming problem for resource management. If time perm
its\, we will also present a Markov decision process approach for feedback
control. One of the bi-products of the optimization is that the system runs
at very high loads with tremendous traffic variability and long-range depe
ndence. The talk would conclude by addressing effective traffic models unde
r such conditions.
\;
Biosketch
N.
Gautam is an associate professor in the department of Industrial and System
s Engineering with a courtesy appointment in the department of Electrical a
nd Computer Engineering at Texas A&\;M University. Prior to joining Texa
s A&\;M University in 2005\, he was on the Industrial Engineering facult
y at Penn State University for eight years. He received his Ph.D. and M.S.
in Operations Research from the University of North Carolina at Chapel Hill
\, and his B.Tech. in Mechanical Engineering from Indian Institute of Techn
ology\, Madras in 1993. Gautam''s interests are in optimal design\, control
and performance evaluation of service systems\, specifically computer-comm
unication networks\, transportation systems and information flows.
UID:202cb962ac59075b964b07152d234b70@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080122T163318Z
LAST-MODIFIED:20080124T173105Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
LOCATION:ETC 5.148
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Manuel Laguna - University of Colorado at Boulder
X-TH-EID:125
SEQUENCE:3
DTSTART:20080201T020000
DTEND:20080201T030000
DESCRIPTION:Testing New Ideas for Metaheuristic Search
with the Max-Cut Problem
The Max-Cut problem consists
of finding a partition of the nodes of a weighted graph into two subsets su
ch that the sum of the weights between both sets is maximized. \; This
is an NP-hard problem that can also be formulated as an integer quadratic p
rogram. \; Several solution methods have been developed since the 1970s
and applied to a variety of fields\, particularly in engineering and layou
t design. \; We use this problem to compare the performance of a simple
implementation and a hybridized version of the cross entropy method. \
; We also use it to test the merit of modifying a standard implementation o
f scatter search with the goal of creating a solution method that competes
with state-of-the-art approaches.
UID:3def184ad8f4755ff269862ea77393dd@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080124T165025Z
LAST-MODIFIED:20080129T191443Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
LOCATION:ETC 5.148
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Guzin Byraksan - University of Arizona
X-TH-EID:126
SEQUENCE:3
DTSTART:20080222T020000
DTEND:20080222T030000
DESCRIPTION:Fixed-Width Sequential Stopping Rules for Stochastic Program
ming
Date: Friday February 22\, 2008
Time: \; 2:00 &nda
sh\; 3:00 \; \; \; Location: ETC 5.148
Guzin Bayraks
an
University of Arizona
A critical component of Monte Car
lo sampling-based methods is determining when to stop to ensure a desired q
uality of the solutions. In this talk\, we present several rules to stop an
d increase the sample sizes. We mainly focus on fixed-width sequential stop
ping rules that stop when the confidence interval on the optimality gap fal
ls below a pre-specified\, fixed level. We provide theoretical properties\,
discuss computational issues and compare the empirical performance of diff
erent stopping rules on problems from the literature.
UID:069059b7ef840f0c74a814ec9237b6ec@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080124T165104Z
LAST-MODIFIED:20080221T190724Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Kara Kockelman - University of Texas at Austin
X-TH-EID:128
SEQUENCE:3
DTSTART:20080411T140000
DTEND:20080411T150000
DESCRIPTION:Addressing Spatial Autocorrelation in Land Use &\; Transp
ort Data: New Opportunities for Forecasting
Date: Friday April 1
1\, 2008
Time: \; 2:00 &ndash\; 3:00 \; \; \; Location
: ETC 5.148
Kara Kockelman
University of Texas at Austin
\;
\;
Transportation and land use data involve
observational units scattered over space. Within these observations\, vari
ous environmental features - as well as coordinated agent actions - often r
esult in spatially autocorrelated outcomes. \; Examples include neighbo
ring households enjoying similar levels of transportation system access\, p
roximate parcels exhibiting similar topography and air quality\, nearby pro
perty owners coordinating new development\, and adjacent pavements experien
cing similar soil and climatic conditions. \; Spatial econometric techn
iques seek to reflect appropriate relationships in model specification and
error terms\, avoiding bias while improving estimator efficiency. \; Th
is presentation illustrates the specification and application of such model
s for transportation planning and land use forecasting. \; Key equation
s\, estimation methods and application outcomes for a pair of seemingly unr
elated spatial-regression equations (involving crash rates across China) an
d for a dynamic spatial ordered probit model (for land use intensities over
time) will be presented. \;
\;
Associate Professor of
transportation engineering\, Dr. Kockelman holds a PhD\, MS\, and BS in civ
il engineering\, a Masters of City Planning\, and a minor in economics from
the University of California at Berkeley. She has received an NSF CAREER A
ward\, MIT Technology Review''s Top 100 Young Innovators award\, the Counci
l of University Transportation Centers'' inaugural Young Faculty Award and\
, most recently\, ASCE''s Harland Bartholomew Award (to recognize her credi
t-based congestion pricing work). \; She has served as a Peace Corps vo
lunteer and currently advises the Engineers Without Borders student chapter
at UT. Her primary research interests include the statistical modeling of
urban systems and crash occurrence\, as well as the economic impacts of tra
nsport policy. She has taught classes in transportation systems\, transport
economics\, transport data acquisition and analysis\, statistics\, and hig
hway design.
UID:76dc611d6ebaafc66cc0879c71b5db5c@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080124T165225Z
LAST-MODIFIED:20080409T140652Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Tolga Tezcan - University of Illinois
X-TH-EID:129
SEQUENCE:2
DTSTART:20080425T140000
DTEND:20080425T150000
UID:d1f491a404d6854880943e5c3cd9ca25@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080124T165250Z
LAST-MODIFIED:20080124T165359Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Bill Cooper - University of Minnesota
X-TH-EID:130
SEQUENCE:2
DTSTART:20080229T140000
DTEND:20080229T150000
DESCRIPTION:Demand Estimation and Pricing with Models that do no
t Explicitly Account for Competition
Date: Friday Febru
ary 29\, 2008
Time: 2:00 &ndash\; 3:00 Location: ETC 5.148
Bill Cooper
University of Minnesota
Compet
ition is an important factor in many revenue management and pricing problem
s. \; However\, the majority of revenue management models used in pract
ice do not explicitly take competitors'' prices into account. Moreover\, th
e historical demand records used to estimate model parameters typically do
not include information on competitors'' prices. \; What happens in suc
h a setting? \; To (partially) answer this question we study a competit
ive setting in which each firm''s price affects the other''s demand\, but w
here the firms'' pricing models do not explicitly account for this dependen
ce. (Such simplified models are often used in revenue management practice\,
even when revenue managers are aware of the competition.) We study the evo
lution of such systems over repeated problem instances and compare the long
-run behavior with the equilibria that arise with well-informed competitors
and with collaborators. (This is joint work with Tito Homem-de-Mello of No
rthwestern and Anton Kleywegt of Georgia Tech.)
BIO: William L.
Cooper is an Associate Professor in the Graduate Program in Industrial and
Systems Engineering in the Department of Mechanical Engineering at the Univ
ersity of Minnesota. \; He received a B.S. in Mathematics from the Univ
ersity of Pennsylvania in 1993 and a Ph.D. in Industrial Engineering from G
eorgia Tech in 1999. \; His research on revenue management\, stochastic
modeling\, and inventory theory has been supported by several NSF grants a
nd his publications have appeared in journals such as Operations Research\,
Management Science\, Manufacturing &\; Service Operations Management\,
and Journal of Applied Probability. \; He currently serves as an Associ
ate Editor for Operations Research and IIE Transactions and as a Senior Edi
tor for Production and Operations Management.
UID:9b8619251a19057cff70779273e95aa6@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080124T173208Z
LAST-MODIFIED:20080226T163320Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Ahmad Jarrah - University of Wyoming
X-TH-EID:131
SEQUENCE:3
DTSTART:20080215T120000
DTEND:20080215T130000
DESCRIPTION:Large-Scale Less-than-Truckload Service Network Design
Abstract
This talk describes a novel formulation for the service
network design problem in the context of large-scale\, less-than-truckload
(LTL) freight operations. The formulation captures the basic network desig
n constraints\, the load planning requirement that all freight at a locatio
n\, irrespective of the freight&rsquo\;s origin\, is assigned to the same n
ext terminal\, and other important LTL-specific requirements. Our modeling
scheme fragments the underlying massive network design model with up to 1.3
million 0-1 variables and 1.3 million rows into a separate and efficient i
nteger programming (IP) problem for each destination terminal along with a
coordinating master network design problem. We produce high-quality solutio
ns in very reasonable CPU times (~ 2 hours) using slope scaling and load pl
anning tree generation with corresponding potential annual savings of 20-25
million dollars for the target company for which the research was conducte
d.
\;
Biosketch
Dr. Jarrah has been at the University o
f Wyoming (UW) since September 2004 as an Assistant Professor of Decision S
ciences\, where he teaches courses that focus on the usage of analytic tech
niques to analyze complex business problems. \; His research interests
are in the application of optimization approaches to large-scale logistics
and transportation problems.
\;
Prior to joining UW\, he sp
ent 12 years working in the industry. \; From 1997 to 2003 he was the D
irector of Projects and Consulting at Transport Dynamics\, a company that s
pecialized in real-time forecasting and optimization systems for truckload
and less-than-truckload carriers. Prior to that he worked for United Airlin
es and American Airlines Decision Technologies. \; He holds a Ph.D. in
Management Science from the University of Texas at Austin (1991)\, a Master
s of Engineering from Texas A&\;M University (1986) and a Bachelors of E
ngineering from the American University of Beirut (1985). \; \;
UID:1afa34a7f984eeabdbb0a7d494132ee5@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080129T161753Z
LAST-MODIFIED:20080131T161338Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Dorothee Honhon - University of Texas at Austin
X-TH-EID:132
SEQUENCE:2
DTSTART:20080208T020000
DTEND:20080208T030000
DESCRIPTION:Assortment Planning and Inventory Decisions under Stock-out
Based Substitution
Given a finite set of products with varying
prices and costs\, stochastic demand and customer preferences\, we conside
r the problem of determining the optimal assortment and inventory levels in
order to maximize expected profit in a single-period. We model customer pr
eferences through the definition of consumer types\, where a type is a rank
ing of the potential products by order of preference. A customer purchases
the highest ranked product available (if any) in the assortment at the time
of his visit to the store (dynamic substitution). The total demand compris
es of a fixed proportion of customers of each type. We show that an efficie
nt dynamic programming algorithm can be used to determine the optimal assor
tment. Our algorithm also gives a heuristic for the general case\, i.e.\, w
hen the proportion of customers of each type is random. In numerical tests\
, this heuristic performs better and faster than previously known heuristic
s\, especially when the average demand is high and customers have large set
s of preferred products. \;
UID:65ded5353c5ee48d0b7d48c591b8f430@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080204T194144Z
LAST-MODIFIED:20080204T194213Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
LOCATION:ETC 5.148
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Lisa Maillart Glovick
X-TH-EID:133
SEQUENCE:1
DTSTART:20080307T120000
DTEND:20080307T130000
UID:9fc3d7152ba9336a670e36d0ed79bc43@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080225T155959Z
LAST-MODIFIED:20080225T155959Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:ORIE Seminar: Marvin Nakayama
X-TH-EID:136
SEQUENCE:1
DTSTART:20080328T140000
DTEND:20080328T150000
DESCRIPTION:A Markovian Dependability \; Model With Cascading Failur
es
Date: Friday March 28\, 2008
Time: \; 2:00 &ndash\;
3:00 \; \; \; Location: ETC 5.148
Marvin Nakayama
New Jersey Institute of Technology
\;
Modern societ
y relies on a collection of infrastructures that comprises complex interact
ing components operating in an uncertain environment. \; These include
the electrical power grid\, navigational systems for aircraft\, networks fo
r computing\, and telecommunications. \; The complexity of these system
s arises from intricate dependencies\, randomly failing components and casc
ading failures\, and it is critical to study models of these system to help
in their design and operation.
We will discuss techniques for m
odeling and analyzing the behavior of stochastic systems with cascading fai
lures. We have developed a software package for evaluating the dependabilit
y of systems with cascading failures\, and we will present some capabilitie
s and results of the package.
This is joint work with Srinivasan
Iyer and Alex Gerbessiotis.
Marvin K. Nakayama is an asso
ciate professor in the computer science department at the New Jersey Instit
ute of Technology. He received a Ph.D. in operations research from Stanford
University. He won second prize in the 1992 George E. Nicholson Student Pa
per Competition sponsored by INFORMS and is a recipient of a CAREER Award f
rom the National Science Foundation. He is the stochastic models area edito
r for ACM Transactions on Modeling and Computer Simulation and the simulati
on are editor for INFORMS Journal on Computing. His research interests incl
ude applied probability\, statistics\, simulation and modeling.
UID:42a0e188f5033bc65bf8d78622277c4e@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080409T140450Z
LAST-MODIFIED:20080409T140450Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:No Seminar - Spring Break
X-TH-EID:135
SEQUENCE:1
DTSTART:20080314T120000
DTEND:20080314T130000
UID:7f1de29e6da19d22b51c68001e7e0e54@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080313T144652Z
LAST-MODIFIED:20080313T144652Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:NO SEMINAR
X-TH-EID:137
SEQUENCE:1
DTSTART:20080404T120000
DTEND:20080404T130000
UID:3988c7f88ebcb58c6ce932b957b6f332@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080409T140556Z
LAST-MODIFIED:20080409T140556Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:NO SEMINAR
X-TH-EID:138
SEQUENCE:1
DTSTART:20080418T120000
DTEND:20080418T130000
UID:013d407166ec4fa56eb1e1f8cbe183b9@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080409T140616Z
LAST-MODIFIED:20080409T140616Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:NO SEMINAR
X-TH-EID:139
SEQUENCE:1
DTSTART:20080321T120000
DTEND:20080321T130000
UID:e00da03b685a0dd18fb6a08af0923de0@thyme-www.me.utexas.edu
DTSTAMP:20080515T183526Z
CREATED:20080409T141059Z
LAST-MODIFIED:20080409T141059Z
ORGANIZER;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
CONTACT;CN="ORIE Admin":MAILTO:diana.ziegler@engr.utexas.edu
END:VEVENT
END:VCALENDAR