OM/IE Excel Add-ins

These are Excel add-in files (.xla) of the OM/IE collection. They are compressed and stored with the (.zip) suffix. Download by clicking on the file name of the add-in in the left most column.

In late June 0f 2007, I revised the add-ins to work with Excel 2007. These add-ins are dated on and after June 27, 2007. The navigation is quite different in Excel 2007. Where many of the instructions include screen shots of menu bars, these bars are no longer part of Excel 2007. Read the changes necessary on the Excel 2007 page. In late June 0f 2007, I revised the add-ins to work with Excel 2007 for Windows. These add-ins are dated on and after June 27, 2007. The navigation is quite different in Excel 2007. Where many of the instructions include screen shots of menu bars, these bars are no longer part of Excel 2007. Read the changes necessary on the Excel 2007 page.

Excel 2008 does not support VBA and the add-ins will not work with Excel 2008.

As the add-ins are improved and corrected, we update the versions on the web. The Date Modified entries below show the dates of the latest revisions. Click the Revisions link on the left to see the purpose of each revision. If you replace an add-in with a newer version, be sure to delete or change the name of the old version. Otherwise, Excel may link to the old version rather than the new.

Links are provided to the instructions for each add-in. Click on the add-in name or the leaf on the right to reach the instructions. Add-ins are not used like regular Excel workbook files. They must be installed through the add-in dialog on the tools menu or through the Add OMIE. Review the General Instructions for loading add-ins.

File Name
Date Modified
Add-in Name
Instructions

 

11/21/08

Add OMIE
When called, this add-in lists all the OM/IE add-ins that are in the same directory as the Add OMIE add-in. Add-ins are installed and removed with a simple click of a button. The add-in also loads demonstration files that illustrate the add-ins. To use this feature these files must be stored in a the same directory as the add-ins. See the instructions for details.


7/9/07
Estimate
The Estimate add-in creates a worksheet to hold the data for capital budget estimates or life-cycle cost estimates. Capital budgeting uses the Work Breakdown Schedule (WBS) to describe the activities in a project. Life-Cycle costing uses the Cost Breakdown Schedule to itemize the costs and revenues that will contribute to the cash flows of the project during its life. Individual estimates may be point estimates or described by probability distributions.

7/9/07

Investment Economics
This add-in performs a variety of procedures to evaluate investment alternatives. Included are procedures to define projects and compute measures of effectiveness such as present worth, annual worth and internal rate of return. Functions are provided to compute the traditional time value of money factors. Projects may be defined with tax and inflation considerations. Cash flows are presented in either tabular or graphical displays. Models with uncertainty are analyzed with the help of the Random Variables add-in. For a one-page summary click here.


7/9/07

Equity
Markowitz Portfolio analysis determines an optimum mix if financial securities considering both security returns and risk. Risk is measured by the statistical variance of the portfolio. The analysis uses historical return data to determine the expected return for each security and the covariance matrix showing the dependence between securities.

This was formerly part of the Portfolio add-in. Use the description there until a new one is provided.


7/9/07

Capital Budgeting
This add-in uses optimization for two kinds of portfolio problems. Capital Budgeting selects a portfolio from a set of candidate projects. A project is described by its initial investment, annual return, salvage value and life. The models can consider risk as measured by standard deviation. The Multiperiod problem extends capital budgeting to multiple periods.


7/9/07

Process Flow Analysis
The Process Flow Add-in provides a tool to analyze and design manufacturing systems. Four principal activities are supported: process definition, economic analysis, resource requirements analysis and product mix decisions. Either tree or network structures are allowed. The add-in links with the Math. Programming add-in to produce linear and mixed integer models for decisions. It also links with the Facility Layout add-in for facility design. Models for queues, inventories and lot change delays are included.


2/16/08

Facility Layout
This add-in accepts as data: a list of departments, physical size of departments, part flows between departments and the size of a proposed plant. The program uses the CRAFT procedure in an attempt to find the layout of departments that minimizes the distance over which parts must flow.

The new version interacts with the Process Flow add-in. Significant revision was made on 2/13/03. Optimization was added on 1/22/04.


7/9/07

Forecasting
The add-in implements several forecasting methods for data series including: moving average, exponential smoothing, regression and double exponential smoothing. The add-in constructs a form that holds the data and uses functions to compute forecasts and forecast errors. Several data series can be analyzed on a single worksheet page. An option allows comparison of several methods for a single time series. A simulation option creates data simulated with the Monte Carlo technique. A portfolio option evaluates and forecasts a portfolio of investments. Adjustments are provided for series with seasonality.


7/9/07

Inventory
We compute the Economic Lot Size with or without backorders or lost sales. We also allow either finite or infinite replenishment rates. Both deterministic and stochastic models are considered. The add-in finds the optimum lot size with cost breaks. Three optimization models that involve more than one item are solved: multi-item systems, inventories with common cycle times and machine scheduling. The add-in includes several models of manufacturing processes that produce Work-in-Process. Total WIP and cycle times are computed for combinations of inventories arranged into systems.


7/9/07
Materials Requirement Planning
Materials Requirement Planning (MRP) is a scheduling procedure for production processes that have several levels of production. The add-in provides the means to enter data concerning a production system and determine a schedule with MRP.

11/27/07
Project Management
This add-in performs the computations of CPM and PERT. Given the activities of the project, the add-in computes the critical path. The program creates a graph of the project network and a Gantt chart showing the schedule. With restricted resources, the add-in generates schedules which optimize resource usage and cash flows. Activity durations may be specified as random variables. Then the Monte Carlo method is used for simulation analysis.

2/26/08
Routing
This program models and solves the vehicle routing problem for several vehicles visiting several delivery sites. A primary goal is to reduce the total distance required to serve all the sites. The vehicles may have several resources, such as capacity, weight or space. Deliveries consume resources. One goal is to serve all the delivery sites without exceeding the resources available. The delivery sites may have time windows. A goal is to arrive at the site before the early delivery time and leave after the late delivery time. The various goals are related through numeric penalties. The goal of the optimization is to minimize the sum of the weighted goal violations. Use the latest version of the Optimal Sequencing add-in (just below) with this Routing add-in.
2/20/08
Optimal Sequencing
This program is used to search for solutions for the Routing add-in. The current versions uses simple random and improvement heuristics. The heuristics are described for the TSP problem of the Optimize add-in.

Archive

Jensen Library
Download the archive from the ORMM add-in page.

 


  
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Operation Management / Industrial Engineering
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by Paul A. Jensen
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