     Pull/Tree Push/Tree Pull/Network Push/Network Download Drive/Structure - Pull/Network Process
In this section we consider the pull/network process. Many of the definitions and computations associated with the various drive/structure alternatives are the same as for the pull tree. The principal changes are in the data defining the network structure and the proportions. The computation of the unit flows is quite different for the network structure as compared to the tree structure.

 Pull/Network Process Figure 1 The generic pull/network process is illustrated in Fig. 1. For this structure the flow through each operation may go to more than one operation, and each operation may have several input flows from other operations. This is a more general structure than the pull/tree structure. Product is withdrawn or pulled from any of the operations. Again we use as the amount pulled from operation i. With m operations we assign the value of 1 to . The pull flows from the other operations are given as relative to . Indices are assigned to the operations arbitrarily, however, it is often convenient to assign the indices to be increasing in the direction of primary product flow. For the pull network we identify the proportion, , as the amount of the output of operation i required for each unit of product passing through operation j. The value of may be any nonnegative amount to represent a variety of manufacturing situations. An assembly operation that requires one unit of each input to be combined to produce one unit of a subassembly would have the proportions equal to 1 for each input. A mixing operation that combines inputs into a mixture would have input proportions that sum to 1. An operation that requires more than one unit of some input would be modeled with a proportion greater than 1 on the associated input. The example shows an arc passing from operation 5 back to operation 4. In a practical instance, this might represent the reworking of some part. Although we might be tempted to identify as the proportion of the output of operation 5 returned to operation 4, this is not correct for a pull network. is the proportion of the flow through operation 4 that comes from operation 5. Similarly, is the proportion of the flow through operation 4 that comes from operation 2.

Tabular and Matrix Representation  Figure 2 We use Fig. 2 as a numerical example. Here we pull 1 unit from operation 5 and nothing from the other operations. Although we can represent much of the data for a pull network with a two-dimensional table as illustrated for the example below, it is necessary to represent the proportions on a square matrix. We call this the proportion matrix Q. Notice that we have left out both the Next and Proportion columns from the table since the following operation is not unique for the network. The matrix Q describes both following operations and proportions. For the example, we assume zero scrap rates and grouping factors equal to 1.
 Name Index Pull Out Scrap Group Op. 1 1 0 0 1 Op. 2 2 0 0 1 Op. 3 3 0 0 1 Op. 4 4 0 0 1 Op. 5 5 1 0 1

For the pull network structure we define the following notation. We use i for the general operation index.

• = the flow pulled from the output of operation i.
• = the proportion of flow that is scrapped or removed at operation i.
• = the number of items grouped at operation i.
• = the proportion of the input of operation j that is obtained from operation i.
• = the time required for one unit to pass through operation i. (not shown in the table)

For the network, flow may pass from an operation to any other operation, so a matrix is required to describe the proportion information. We call the matrix Q. In general For the case of the example: The Excel model created by the Process Flow add-in is shown below. The add-in adds dummy operations 0 and 6. Indices are automatically assigned by the add-in, as indicated by the green field. The Next column is not required. The Pull Out column shows 1 unit pulled from operation 6. We have indicated arbitrary times in the Operation Time column. Since the Scrap Rate and Group Factor are 0 and 1 respectively, we have not included their columns. No Proportion column is necessary for the network structure.  The structure and proportions are described by the Q matrix (Transfer In matrix). This matrix is on the left of the figure below and includes the dummy operations 0 and 6. The matrix on the right is called the Augmented Matrix. Proportion data is entered in the Q matrix, and the Augmented Matrix is determined by Excel formulas. The two matrices are constructed on the same rows of the Excel worksheet as the tabular data for the process. Scrap and Flow Removed These features take the default values, 0 and 1, respectively. They do not affect the analysis. Non-trivial values would be handled in the same way as the pull/tree structure.

Grouping, Flow Removed and Flow Ratio The general expression for the flow ratio is: Using the example parameters all ratios are 1, as shown in column F. The column designations provided in this discussion (F) refer to the example worksheet above. The column designations for a different instance will depend on the location of the process on the worksheet.

Unit Flow Figure 3 To illustrate the computation of the unit flows we use an example with three operations as in Fig. 3. The value of , the output flow from operation i is dependent on the pull flow withdrawn at operation i and the amounts required by the following operations, j and k. We write the equations entirely in terms of the unit flows by using the flow ratios. This generalizes to the expression that must hold for each operation. We define the augmented proportion matrix as Also define the column vector u of unit flows. Then the unit flows are the solution to the linear set of equations: For the example, the matrices are: Note that the proportions entering operation i are described by column i of the Q matrix. Solving for the unit flows we find: The unit flow vector is computed using Excel matrix operations and is shown in column G of the example worksheet.

Unit Time The time required for operation i per unit of finished product is called the unit time and designated . This computation is the same for all drive/structure alternatives and is stored for the example in Column H. The sum of the unit times is the Throughput time. It is computed and stored in cell K30.

Operation Flow Again, this computation is the same for all drive/structure alternatives. The illustration assumes there the operating inverval is hours and the demand interval is weeks with 40 hours used per week. The value of V is from cell B32 in the example. The denominator of the expression depends on the time units selected for the demand and operation intervals. It is entered in cell G31. The computed values are placed in column I of the worksheet.

Work-in-Process (WIP) This computation is the same for all drive/structure alternatives. The sum of operation WIP values is computed and stored in cell K31.  Operations Management / Industrial Engineering
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by Paul A. Jensen
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