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170   Cha p te r  E i g h t


                     2006), which is mainly due to its ability to increase the efficiency of
                     business and management systems. The mathematical foundation of
                     this technology has been developed mainly based on Petri net theory
                     (Kiepuszewski, ter Hofstede, and van der Aalst, 2003; van der Aalst
                     and ter Hofstede, 2005). Even though this mathematical methodology
                     provides a basis for determining the optimal operation of workflows,
                     it cannot be used to derive an optimal workflow structure.
                        The structural component of a workflow synthesis problem can
                     be identified by the sets of products, resources, and (plausible)
                     activities on materials. The cost of a workflow process that generates
                     a particular quantity of product is given as the sum of (1) the cost of
                     the raw materials and (2) the cost related to the activities appearing
                     in the synthesized workflow process. The cost of an activity is the
                     sum of its running cost and the investments assigned to the period of
                     time examined. Both the running cost and investment cost depend
                     on the “size” of the activity—that is, its output volume. The common
                     objective for synthesizing workflow processes is to minimize the
                     total cost under the assumption of unlimited intermediate storage
                     capacities for any activity.


                       Example 8.1: Workflow Synthesis (after Tick, Kovács, and Friedler, 2006)
                       As an example, a set of activities is given by its inputs and outputs in Table 8.1
                       and represented by P-graph in Figure 8.3.
                         The P-graph contains the interconnections among the activities. Each feasible
                       activity network corresponds to a subgraph of the P-graph in Figure 8.3.
                       A product document represented by A and B can be generated by an appropriate
                       network of the activities—provided that the problem has at least one feasible
                       solution. It is important to note that a product can usually be generated by
                       different types and numbers of activities. When determining the optimal
                       network for a workflow, all possible networks of each product must be taken
                       into account.

                                      Activities  Input  Output
                                       1         C       A,  F
                                       2         D       B
                                       3         E,  F   C
                                       4         F,  G   C
                                       5         G,  H   D
                                       6         H       B
                                       7         J       F
                                       8         K       G
                                       9         K       G
                                      10         L       H

                                     TABLE 8.1  Plausible Activities for a
                                     Workflow
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