The impact of collaborative transportation management on demand disruption of manufacturing supply chains

International Journal of Production Research

Volumn 50, Issue 19, 2012, Pages 5635-5650

  Li, Jing ^a   Chan, Felix T S ^b  

^a NANJING AGRICULTURAL UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Collaborative transportation management; Dynamic order points; Flexible delivery; Multi agent simulation; Supply chain management

Indexed keywords

DYNAMIC ORDER; FLEXIBLE DELIVERY; MULTI AGENT SIMULATION; MULTI-AGENT APPROACH; SUPPLY CHAIN MODELS; SUPPLY CHAIN PARTNERS; TRANSPORTATION MANAGEMENT;

SUPPLY CHAIN MANAGEMENT;

MANUFACTURE;

EID: 84867058974     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.651540     Document Type: Article

References (59)

1. Allwood, J.M. and Lee, J.H., 2005. The design of an agent for modelling supply chain network dynamics. International Journal of Production Research, 43 (22), 4875-4898.
2. Azadeh, A. and Alem, S.M., 2010. A flexible deterministic, stochastic and fuzzy Data Envelopment Analysis approach for supply chain risk and vendor selection problem: simulation analysis. Expert Systems with Applications, 37 (12), 7438-7448.
3. Bansal, M., et al., 2005. An online decision support framework for managing abnormal supply chain events. Computer-aided Chemical Engineering, 20, European symposium on computer-aided process engineering, 15; 38th European symposium of the working party on computer-aided process engineering, 985-990.
4. Bishop, S.B., 2004. Collaborative transportation management benefits [online]. Supply Chain Systems, Inc. Available from: http://www.vics.org [Accessed June 2008].
5. Böhnlein, D., Schweiger, K., and Tuma, A., 2011. Multi-agent-based transport planning in the news paper industry. International Journal of Production Economics, 131 (1), 146-157.
6. Browning, B. and White, A., 2000. Collaborative transportation management - A proposal [online]. Logility Inc. Available from: http://www.vics.org [Accessed October 2008].
7. Cauvin, A.C.A., Ferrarini, A.F.A., and Tranvouez, E.T.E., 2009. Disruption management in distributed enterprises: a multiagent modelling and simulation of cooperative recovery behaviours. International Journal of Production Economics, 122 (1), 429-439.
8. Chan, F.T.S. and Zhang, T., 2011. The impact of collaborative transportation management on supply chain performance: a simulation approach. Expert Systems with Applications, 38 (3), 2319-2329.
9. Chen, K. and Chen, C., 2010. Applying multi-agent technique in multi-section flexible manufacturing system. Expert Systems with Applications, 37 (11), 7310-7318.
10. Chen, K. and Xiao, T., 2009. Demand disruption and coordination of the supply chain with a dominant retailer. European Journal of Operational Research, 197 (1), 225-234.
11. Cigolini, R. and Rossi, T., 2006. A note on supply risk and inventory outsourcing. Production Planning and Control, 17 (4), 424-437.
12. Clausen, J., et al., 2001. Disruption management. OR/MS Today, 28 (5), 40-43.
13. Collaborative Transportation Management White Paper, Version 1.0, 2004. CTM sub-committee of the voluntary inter-industry commerce standards (VICS) logistic committee [online]. Available from: http://www.vics.org [Accessed April 2009].
14. Cudahy, G., Mulani, N., and Cases, C., 2008. Mastering global operations in multipolar world. Supply Chain Management Review, 12 (2), 22-29.
15. Ding, H., Guo, B., and Liu, Z., 2011. Information sharing and profit allotment based on supply chain cooperation. International Journal of Production Economics, 133 (1), 70-79.
16. Disney, S.M., Potter, A.T., and Gardner, B.M., 2003. The impact of vendor managed inventory on transport operations. Transportation Research Part E, 39 (5), 363-380.
17. Dong, Y. and Xu, K., 2002. A supply chain model of vendor managed inventory. Transportation Research Part E, 38 (2), 75-95.
18. Duncan, R.B., 1972. Characteristics of organisational environments and perceived environmental uncertainty. Administrative Science Quarterly, 17 (3), 313-327.
19. Elofson, G. and Robinson, W.N., 2007. Collective customer collaboration impacts on supply-chain performance. International Journal of Production Research, 45 (11), 2567-2594.
20. Feng, C.M., Yuan, C.Y., and Lin, Y.C., 2005. The system framework for evaluating the effect of collaborative transportation management on supply chain. Journal of the Eastern Asia Society for Transportation Studies, 6, 2837-2851.
21. Feng, C.M. and Yuan, C.Y., 2007. Application of collaborative transportation management to global logistics: an interview case study. International Journal of Management, 24 (4), 623-638.
22. Fiala, P., 2005. Information sharing in supply chains. Omega, 33 (5), 419-423.
23. Gavirneni, S., 2006. Price fluctuations, information sharing, and supply chain performance. European Journal of Operational Research, 174 (3), 1651-1663.
24. Giannakis, M. and Louis, M., 2011. A multi-agent based framework for supply chain risk management. Journal of Purchasing and Supply Management, 17 (1), 23-31.
25. Gilbert, N., Pyka, A. and Ahrweiler, P., 2001. Innovation networks - A simulation approach. Journal of Artificial Societies and Social Simulation, 2001 (4) [online]. Available from: http://www.soc.surrey.ac.uk/JASSS/4/3/8.html [Accessed November 2010].
26. Huang, C., et al., 2006. Disruption management for supply chain coordination with exponential demand function. Acta Mathematica Scientia, 26 (4), 655-669.
27. Jain, V., Benyoucef, L., and Deshmukh, S.G., 2008. What's the buzz about moving from 'lean' to 'agile' integrated supply chains? A fuzzy intelligent agent-based approach. International Journal of Production Research, 46 (23), 6649-6677.
28. Jennings, N., Wooldridge, M., and Sycara, K., 1998. A roadmap of agent research and development. Autonomous Agents and Multi-Agent Systems, 1 (1), 7-38.
29. Jennings, N.R., 2000. On agent-based software engineering. Artificial Intelligence, 117 (2), 277-296.
30. Kaihara, T., 2003. Multi-agent based supply chain modelling with dynamic environment. International Journal of Production Economics, 85 (2), 263-269.
31. Kastsian, D. and Mönnigmann, M., 2011. Optimisation of a vendor managed inventory supply chain with guaranteed stability and robustness. International Journal of Production Economics, 131 (2), 727-735.
32. Kim, O.C., Kwon, I., and Kwak, C., 2010. Multi-agent based distributed inventory control model. Expert Systems with Applications, 37 (7), 5186-5191.
33. Kimbrough, S.O., Wu, D.J., and Zhong, F., 2002. Computers play the beer game: can artificial agents manage supply chains? Decision Support Systems, 33 (3), 323-333.
34. Kleindorfer, P.R. and Saad, G.H., 2005. Managing disruption risks in supply chains. Production and Operations Management, 14 (1), 53-68.
35. Kwon, O., Im, G.P., and Lee, K.C., 2007. MACE-SCM: a multi-agent and case-based reasoning collaboration mechanism for supply chain management under supply and demand uncertainties. Expert Systems with Applications, 33 (3), 690-705.
36. Lee, J. and Ren, L., 2011. Vendor-managed inventory in a global environment with exchange rate uncertainty. International Journal of Production Economics, 130 (2), 169-174.
37. Li, J., Sheng, Z., and Liu, H., 2010. Multi-agent simulation for the dominant players' behavior in supply chains. Simulation Modelling Practice and Theory, 18 (6), 850-859.
38. Li, J. and Zhang, Z., 2008. Supply chain coordination and its validity with multi-disruption, Proceeding of 8th international conference of Chinese logistics and transportation professionals - Logistics: the emerging frontiers of transportation and development in China, Sichuan Province, Chengdu. Virgina: American Society of Civil Engineers, 113-120.
39. Lo, W., Hong, T., and Jeng, R., 2008. A framework of E-SCM multi-agent systems in the fashion industry. International Journal of Production Economics, 114 (2), 594-614.
40. Lou, P., et al., 2004. Study on multi-agent-based agile supply chain management. International Journal Advanced Manufacturing Technology, 23 (3/4), 197-203.
41. Lu, L. and Wang, G., 2007. A study on multi-agent supply chain framework based on network economy. Computers and Industrial Engineering, 54 (2), 288-300.
42. Marti'nez-Olvera, C., 2008. Entropy as an assessment tool of supply chain information sharing. European Journal of Operational Research, 185 (1), 405-417.
43. Merdan, M., et al., 2011. Monitoring and diagnostics of industrial systems using automation agents. International Journal of Production Research, 49 (5), 1497-1509.
44. Qi, X.T., Bard, J., and Yu, G., 2004. Supply chain coordination with demand disruptions. Omega, 32 (4), 301-312.
45. Renna, P., 2011. Multi-agent based scheduling in manufacturing cells in a dynamic environment. International Journal of Production Research, 49 (5), 1285-1301.
46. Ruiz, N., et al., 2011. Agent-supported simulation environment for intelligent manufacturing and warehouse management systems. International Journal of Production Research, 49 (5), 1469-1482.
47. Southard, P.B. and Swenseth, S.R., 2008. Evaluating vendor-managed inventory (VMI) in non-traditional environments using simulation. International Journal of Production Economics, 116 (2), 275-287.
48. Tang, C.S., 2006. Perspectives in supply chain risk management. International Journal of Production Economics, 103 (2), 451-488.
49. Tang, O. and Musa, S.N., 2011. Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133 (1), 25-34.
50. Thonemann, U.W., 2002. Improving supply-chain performance by sharing advance demand information. European Journal of Operational Research, 142 (1), 81-107.
51. Venkatraman, N. and Camillus, J., 1984. Exploring the concept of 'fit' in strategic management. The Academy of Management Review, 9 (3), 513-525.
52. Wagner, S.M. and Bode, C., 2008. An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29 (1), 307-325.
53. Wong, T.N. and Fang, F., 2010. A multi-agent protocol for multilateral negotiations in supply chain management. International Journal of Production Research, 48 (1), 271-299.
54. Wong, W.K., Qi, J., and Leung, S.Y.S., 2009. Coordinating supply chains with sales rebate contracts and vendor-managed inventory. International Journal of Production Economics, 120 (1), 151-161.
55. Wu, D. and Olson, D.L., 2008. Supply chain risk, simulation, and vendor selection. International Journal of Production Economics, 114 (2), 646-655.
56. Wu, Y.N. and Cheng, T.C.E., 2008. The impact of information sharing in a multiple-echelon supply chain. International Journal of Production Economics, 115 (1), 1-11.
57. Yu, H., Zeng, A. Z., and Zhao, L., 2009. Analyzing the evolutionary stability of the vendor-managed inventory supply chains. Computers & Industrial Engineering, 56 (1), 274-282.
58. Yu, M., Ting, S., and Chen, M., 2010. Evaluating the cross-efficiency of information sharing in supply chains. Expert Systems with Applications, 37 (4), 2891-2897.
59. Zhang, C. and Zhang, C., 2007. Design and simulation of demand information sharing in a supply chain. Simulation Modelling Practice and Theory, 15 (15), 32-46.