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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wang, J. W. Ip, W. H. Muddada, Raja Ram Huang, J. L. Zhang, W. J. |
| Copyright Year | 2013 |
| Abstract | Holistic supply chain network (H-SCN) systems are a set of supply chains that have inter-dependence relations. Design and management of H-SCN systems are largely ignored in the literature. Modeling of H-SCN systems will provide a computational facility for design and management of H-SCN systems. A model for disruption of the H-SCN system was proposed by us before, which consists of two parts: a model for disruption of a single firm and a model for propagation of disruption. The present paper mainly discusses how these models can be implemented especially with Petri nets. Guidelines with templates of how the Petri net models for H-SCN systems can be constructed in industrial setting are also given to facilitate the use of our model. Since H-SCN systems are complex network systems, this paper may also contribute to the field of the Petri net technique for network systems modeling in the aspect of reduction of complexity arising from vast amounts of construct instances—a common problem that existed in a Petri net model. Indeed, the proposed Petri net model is suitable for any type of supply chains or supply chain networks. |
| Starting Page | 427 |
| Ending Page | 437 |
| Page Count | 11 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 69 |
| Issue Number | 1-4 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2013-05-15 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Petri net Supply chain network Proactive resilience Implementation Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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