Methodology for supply chain disruption analysis

International Journal of Production Research

Volumn 45, Issue 7, 2007, Pages 1665-1682

  Wu, T ^a   Blackhurst, J ^b   O'Grady, P ^c  

^a Arizona State University   (United States)

^b IOWA STATE UNIVERSITY   (United States)

^c IA United States   (United States)

Author keywords

Network model; Supply chain design; Supply chain disruptions

Indexed keywords

CUSTOMER SATISFACTION; INDUSTRIAL MANAGEMENT; MATHEMATICAL MODELS; PRODUCT DESIGN; SOCIETIES AND INSTITUTIONS; SYSTEMS ANALYSIS;

NETWORK MODELS; SUPPLY CHAIN DESIGN; SUPPLY CHAIN SYSTEMS;

PRODUCTION ENGINEERING;

EID: 33847232959     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540500362138     Document Type: Conference Paper

References (53)

1. Arns, M., Fischer, M.L., Kemper, P. and Tepper, C., Supply chain modeling and its analytical evaluation. J. Oper. Res. Soc., 2002, 53, 885-894.
2. Blackhurst, J., Wu, T. and O'Grady, P., Network-based approach to modeling uncertainty in a supply chain. Int. J. Prod. Res., 2004, 42, 1639-1658.
3. Chapman, P., Christopher, M., Jüttner, U., Peck, H. and Wilding, R., Identifying and managing supply chain vulnerability. Focus, 2002, May, 59-64.
4. Chen, H., Amodeo, L. and Chu, F., Batch deterministic and stochastic Petri nets: a tool for modeling and performance evaluation of a supply chain. Proc. IEEE Int. Conf. Robot. Automat., 2002, 1, 78-83.
5. Cooke, J.A., Brave new world. Logist. Manag. Distribut. Rep., 2002, 41, 31-34.
6. Corbett, C., Stochastic inventory systems in a supply chain with asymmetric information: cycle stocks, safety stocks and consignment stocks. Oper. Res., 2001, 49, 487-502.
7. Desrochers, A. and Al-Jaar, R., Applications of Petri Nets in Manufacturing Systems: Modeling Control and Performance Analysis, 1995 (IEEE Press: New York).
8. Desrochers, A., Deal, T. and Fanti, M., Complex token Petri nets. Proc. IEEE Int. Conf'. Sys. Man Cybernet., 2003, 2, 1153-1160.
9. Dong, M. and Chen, F., Process modeling and analysis of manufacturing supply chain networks using object-oriented Petri nets. Robot. Integr. Manuf., 2001, 17, 121-129.
10. Ertogral, K. and Wu, D., Auction-theoretic coordination of production planning in the supply chain. IIE Trans., 2000, 32, 931-940.
11. Fernandes, J. and Belo, O., Modeling multi-agent systems activities through coloured Petri nets - an industrial production system case study, in Proceedings of the 16th IASTED International Conference on Applied Informatics, Garmisch-Partenkirchen, Germany, 1998, pp. 17-20.
12. Finnman, F., Supplier selection when considering risks for disturbances in the inbound flow to Scania - a model for supply chain risk management. MS thesis. Department of Industrial Management and Logistics, Division of Engineering Logistics, Lund Institute of Technology, Lund, 2002.
13. Giannoccaro, H., Pontrandolfo, P. and Scozzi, B., A fuzzy echelon approach for inventory management in supply chains. Eur. J. Oper. Res., 2003, 149, 185-196.
14. Gooley, T., Flying funds: automating the export payment process cuts days and dollars out of the order-to-cash cycle for international traders. Logist. Manag., 1995, 41, 53-55.
15. Hallikas, J., Virolainen, V.-M. and Tuominen, M., Risk analysis and assessment in network environments: a dyadic case study. Int. J. Prod. Econ., 2002, 78, 45-55.
16. Hutinet, T., MISS-RdP © Interactive Modelling and System Simulation by Petri Nets by GFI Consulting (available at: http://www.informatik. uni-hamburg.de/TGI/PetriNets/tools/db/missrdp.html) (accessed 1 August 2004).
17. Jüttner, U., Peek, H. and Christopher, M., Supply chain risk management: outlining an agenda for future research. Int. J. Logist. Res. Appl., 2003, 6, 197-209.
18. Kaihara, T., Multi-agent based supply chain modeling with dynamic environment. Int. J. Prod. Econ., 2003, 85, 263-269.
19. Kwon, O. and Lee, J., A multi-agent intelligent system for efficient ERP maintenance. Expert Sys. Appl., 2001, 21, 191-202.
20. Lau, H., Fung, R., Au, Y. and Jiang, Z., Supply chain workflow modelling using XML-formatted modular Petri nets. Int. J. Adv. Manuf. Tech., 2003, 22, 587-601.
21. Lee, H., Padmanabhan, V. and Whang, S., Information distortion in a supply chain. Manag, Sci., 1997a, 43, 546-558.
22. Lee, H., Padmanabhan, V. and Whang, S., The paralyzing effect of the bullwhip effect in a supply chain. Sloan Management Review, 1997b, 38, 93-102.
23. Levy, D., International sourcing and supply chain stability. Int. J. Bus. Stud., 1995, 2nd Quarter, 343-360.
24. Li, Z., Kumar, A. and Lim, Y., Supply chain modelling - a co-ordination approach. Integr. Manuf. Sys., 2002, 13, 551-561.
25. Lin, F. and Norrie, D., Schema-based conversation modeling for agent-oriented manufacturing systems. Comput. Ind., 2001, 46, 259-274.
26. Lin, F. and Pai, Y., Using multi-agent simulation and learning to design new business process. IEEE Trans. Sys. Man Cybernet. A Sys. Human., 2000, 30, 380-384.
27. Machalaba, D. and Kim, Q., West Coast docks are shut down after series of work disruptions. The Wall Street Journal (Eastern Edition), 20 September 2002, A. 2.
28. Mitroff, I. and Alpasan, M., Preparing for evil. Harvard Bus. Rev., 2003, April, 109-115.
29. Muralidharan, C., Anantharaman, N. and Deshmukh, S., Vendor rating in purchasing scenario: a confidence interval approach. Int. J. Oper. Prod. Manag., 2001, 21, 1305-1326.
30. Murata, T., Petri-nets: properties, analysis and applications. Proc. IEEE, 1989, 77, 541-580.
31. Nikolic, D.M., Panic, B. and Vujosevic, M., Bullwhip effect and supply chain modelling and analysis using CPN tools, in Proceedings of the Fifth Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, edited by K. Jensen, Department of Computer Science, University of Aarhus, October 2004, pp. 219-234.
32. Peck, H. and Christopher, M., The five principles of supply chain resilience. Legist. Eur., 2004, February, 17-21.
33. Petri, C., Kommunikation mit Autimaten. PhD dissertation, University of Bonn, Bonn, 19 62.
34. Porteus, E., Stochastic inventory theory, in Handbook of Operations Research, edited by D. Heyman, M. Sobel, pp. 605-652, 1990 (Amsterdam: North Holland).
35. Rice, J. and Caniato, F., Building a secure and resilient supply network. Suppl. Chain Manag. Rev., 2003, 7, 22-30.
36. Riddalls, C. and Bennett, S., Production-inventory system controller design and supply chain dynamics. Int. J. Sys. Sci., 2002, 33(3), 181-195.
37. Riddalls, C., Bennett, S. and Tipi, N., Modeling the dynamics of supply chains. Int. J. Sys. Sei., 2000, 31, 969-976.
38. Sahin, F. and Robinson, E., Flow coordination and information sharing in supply chains: review, implications and directions for future research. December Sci., 2002, 33, 505-536.
39. Salimifard, K. and Wright, M., Petri-net based modeling of workflow systems: an overview. Eur. J. Oper. Res., 2001, 134, 664-676.
40. Sharratt, P.N. and Choong, P.M., A life-cycle framework to analyse business risk in process industry project. J. Cleaner Prod., 2002, 10, 479-493.
41. Simatupang, T. and Sridharan, R., The collaborative supply chain: a scheme for information sharing and incentive alignment. Im. J. Logist. Manag., 2002, 13, 15-31.
42. Simchi-Levi, D., Kaminski, P. and Simchi-Levi, E., Designing and Managing the Supply Chain, 2000 (Irwin McGraw-Hill: New York).
43. Tsiakis, P., Shah, N. and Pantelides, C., Design of multi-echelon supply chain networks under demand uncertainty. Ind. Eng. Chem. Res., 2001, 40, 3585-3604.
44. Van der Vorst, J. and Beulens, A., Identifying sources of uncertainty to generate supply chain redesign and strategies. Int. J. Phys. Distrib. Logist. Manag., 2002, 32, 409-430.
45. Van der Vorst, J., Beulens, A. and Van Beek, P., Modelling and simulating multi-echelon food systems. Eur. J. Oper. Res., 2000, 122, 354-366.
46. Vidal, C. and Goetschalckx, M., Modeling the effects of uncertainties on global logistics systems. J. Bus. Logistic., 2000, 21, 95-120.
47. Viswanadham, N. and Raghavan, N., Performance analysis and design of supply chains: a Petri net approach. J. Oper. Res. Soc., 2000, 51, 1158-1169.
48. Wang, R., Jia, Y., Sheng, Y. and Gao, L., Design and optimization of supply chain based on Petri net. Comput-Integr. Manuf. Sys., 2003, 9, 868-872.
49. Wilding, R., The supply chain complexity triangle: uncertainty generation in the supply chain. Int. J. Phys. Distrib. Logist. Manag., 1998, 28, 599-616.
50. Xia, Y., Yang, M., Golany, B., Gilbert, S and Yu, G., Real-time disruption management in a two-stage production and inventory system. IIE Trans., 2004, 36, 111-125.
51. Xu, H. and Shatz, S., An agent-based Petri net model with application to seller/buyer design in electronic commerce, in Proceedings of the 5th International Symposium on Autonomous Decentralized Systems, 2000, pp. 11-18.
52. Zhou, M. and Zurawski, R., Introduction to Petri nets in flexible and agile automation, in Petri Nets in Flexible and Agile Automation, edited by M. Zhou, pp. 1-42, 1995 (Kluwer, Norwell).
53. Zurawski, R. and Zhou, M., Petri nets and industrial applications: a tutorial. IEEE Trans. Ind. Electr., 1994, 41, 567-583.