An Enterprise Resource Planning (ERP) system is a complex network composed of various business processes. This paper proposes methods based on stochasticflow network model to analysis the capacity sensitivity of persons with respect to the performance of an ERP system. The nodes in the network denote the persons responsible for the business tasks during the processes. The arcs between nodes denote the process precedence relationships in the ERP system. The performance of an ERP system is then related to the flow of the documents through the network. To analyze the person's impact against the system performance, the increasing-capacity contributivity analysis and the decreasing-capacity impairment analysis are conducted. Some interesting findings are obtained. For example, the strategy of increasing capacity will not promise to contribute performance. However, the strategy of decreasing capacity will also not always to impair performance. Numerical examples for these analyses are illustrated in this paper.
With the growing complexity of transactions in internet-based environment, it is crucial for managing process interaction between agents. To aid the allocation process is still of great interest to the designers of interorganizational workflow. This paper proposed a method coloured activity net (CAN) which integrates the process, case, and resource viewpoints based on coloured Petri net and agent-based concepts. First, we introduce a workflow specification module to express the message transferring, state changing, process execution, and resource sharing. We then apply CAN to model an interorganizational workflow that involves message transferring forward and backward between partners. After being validated by simulation of CPN Tools, the soundness of CAN model can be verified by state space analysis under the support of CPN Tools, e.g. the reachability graph, liveness property, home marking, dead marking, and fairness property. The results demonstrate that the CAN is feasible to model interorganizational workflow.
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