A heuristic methodology for order distribution in a demand driven collaborative supply chain

International Journal of Production Research

Volumn 42, Issue 1, 2004, Pages 1-19

  Chan, Felix T S ^a   Chung, S H ^a   Wadhwa, S ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; DECISION MAKING; GENETIC ALGORITHMS; INDUSTRIAL MANAGEMENT; INFORMATION MANAGEMENT; MANAGEMENT INFORMATION SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; RESOURCE ALLOCATION; SCHEDULING;

ANALYTIC HIERARCHY PROCESS; CENTRAL COORDINATION SYSTEM; DEMAND DRIVEN COLLABORATIVE SUPPLY CHAIN;

PRODUCTION;

EID: 1142280344     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/0020754031000103293     Document Type: Article

References (46)

1. Al-Hakin, L., 2000, A note on a genetic algorithm approach for multiple criteria facility layout design. International Journal of Production Research, 38(4), 985-989.
2. Al-Hakin, L., 2001, An analogue genetic algorithm for solving job shop scheduling problems. International Journal of Production Research, 39(7), 1537-1548.
3. Angelis, D. I. and Lee, C. Y., 1996, Strategic investment analysis using activity based costing concepts and analytical hierarchy process techniques. International Journal of Production Research, 34(3), 1331-1345.
4. Ballou, R. H., 1999, Business Logistics Management, 4th edn (Prentice-Hall).
5. Barratt, M. and Oliveira, A., 2001, Exploring the experiences of collaborative planning initiatives. International Journal of Physical Distribution & Logistics Management, 31(4), 266-289.
6. Berry, L. M., Murtagh, B. A., McMahon, G. B., Sugden, S. J. and Welling, L. D., 1998, Genetic algorithms in the design of complex distribution networks. International Journal of Physical Distribution and Logistics Management, 28(5), 377-381.
7. Borges, P. C., 2000, Chess - changing horizon efficient set search: a simple principle for multiobjective optimization. Journal of Heuristics, 6, 405-418.
8. Blair, N., 1998, Minding the store: with inventory reduction measures under way in the warehouse, executives are eyeing similar strategies based on store-level data. Supermarket News, 48(3), 81-82.
9. Chan, F. T. S., Chung, S. H. and Tang, N. K. H., 2002, Proceedings of MIM 2002: 5th International Conference on Managing Innovations in Manufacturing (MIM), Milwaukee, Wisconsin, USA, pp. 9-11.
10. Chang, P. T. and Lo, Y. T., 2001, Modelling of job-shop scheduling with multiple quantitative and qualitative objectives and a GA/TS mixture approach. International Journal Computer Integrated Manufacturing, 14(4), 367-384.
11. Cheung, F. Y. and Li, D., 1997, Mutli-objective optimization design with pareto genetic algorithms. Journal of Structural Engineering, 123(9), 1252-1261.
12. Cheung, R., Gen, M. and Tsujimura, Y., 1996, A tutorial survey of job-shop scheduling problems using genetic algorithms - I. Computers and Industrial Engineering, 30(4), 983-997.
13. Cheung, R., Gen, M. and Tsujimura, Y., 1999, A tutorial survey of job-shop scheduling problems using genetic algorithms - Part II. Computers and Industrial Engineering, 37(1), 51-55.
14. Cooke, J. A., 1998, Into the great wide open. Logistics Management and Distribution Report, 37(10), 84-87.
15. Dawid, H., 1996 Adaptive Learning by Genetic Algorithms Analytical Results and Applications to Economic Models, Lecture Notes in Economics and Mathematical Systems 441 (Springer).
16. de Jong, K. A., 1975, An analysis of the behavior of a class of genetic adaptive system. Doctoral dissertation, University of Michigan.
17. Donselaar, V. K., Kopczak, R. L. and Wouters, M., 2001, The use of advance demand information in a project-based supply chain. European Journal of Operational Research, 130(3), 519-538.
18. Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning (Reading, MA: Addison-Wesley).
19. González, E. L. and Fernández, M. A., 2000, Genetic optimization of a fuzzy distribution model. International Journal of Physical Distribution and Logistic Management, 30(7/8), 681-696.
20. Hoek, R. I. V. and Chong, I., 2001, Epilogue: UPS logistics - practical approaches to the e-supply chain. International Journal of Physical Distribution & Logistics Management, 31(6), 463-468.
21. Holland, J., 1975, Adaptation in natural and artificial systems (University of Michigan Press).
22. Horvath, L., 2001, Collaboration: the key to value creation in supply chain management. Supply Chain Management: An international Journal, 6(5), 205-207.
23. Lakhal, S., Martel, A., Kettani, O. and Oral, M., 2001, On the optimization of supply chain networking decisions. European Journal of Operational Research, 129(2), 259-270.
24. Leão, M. T. P. and Matos, M. A., 1999, Multi-criteria distribution network planning using simulated annealing. International Transactions in Operational Research, 6(3), 371-391.
25. Maloni, J. M. and Benton, W. C., 1997, Supply chain partnerships: opportunities for operations research. European Journal of Operational Research, 101(3), 419-429.
26. Mármol, A. M., Puerto, J. Fernández, F. R., 2002, Sequential incorporation of imprecise information in multiple criteria decision process. European Journal of Operational Research, 137(1), 123-133.
27. Miettinen, K., Neittaanmäki, P., Mäkelä, M. M. and Périaux, J., 1999, Evolutionary Algorithms in Engineering and Computer Science (New York: Wiley).
28. Miznuma, H. and Watada, J., 1995, Fuzzy mixed integer programming based on genetic algorithm and its application to resource distribution. Japanese Journal of Fuzzy Theory and Systems, 7(1), 97-116.
29. Neuman, J. and Samuels, C., 1996, Insights from industry Supply chain integration: vision or reality?. Supply Chain Management: An International Journal, 1(2), 7-10.
30. New, S. and Ramsay, J., 1997, A critical appraisal of aspects of the lean chain approach. European Journal of Purchasing & Supply Management, 3(2), 93-102.
31. Onwubolu, G. C. and Kumalo, T., 2001, Optimization of multipass turning operations with genetic algorithms. International Journal of Production Research, 39(16), 3727-3745.
32. Onwubolu, G. C. and Muting, M., 2001, Optimizing the multiple constrained resources product mix problem using genetic algorithms. International Journal of Production Research, 39(9), 1897-1910.
33. Pfohl, H. C. and Buse, H. P., 2001, Inter-organizational logistics systems in flexible production networks, an organizational capabilities perspective. International Journal of Physical Distribution & Logistics Management, 30(5), 388-408.
34. Poh, K. L., Ang, B. W. and Bai, F., 2001, A comparative analysis of R&D project evaluation methods. R&D Management, 31(1), 63-75.
35. Robins, G., 1994, Sailing into ECR's uncharted waters. Stores, 76(10), 43-44.
36. Saaty, T. L., 1980, The Analytic Hierarchy Process (New York: McGraw-Hill).
37. Saaty, T. L., 1994, Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process (The Analytic Hierarchy Process Series, 6).
38. Sakawa, M., 2002, Genetic Algorithms and Fuzzy Multi-objective Optimization, (Kluwer Academic).
39. Stank, T. P., Daugherty, P. J. and Autry, C. W., 1999, Collaborative planning: supporting automatic replenishment programs. Supply Chain Management: An International Journal, 4(2), 75-85.
40. Teltumbe, A., 2000, A framework for evaluating ERP projects. International Journal of Production Research, 38(17), 4507-4520.
41. UPS Logistics Group, 2001, United Parcel Service of America, Inc, http://www.upslogistics.com
42. VICS, 2001, Voluntary Interindustry Commerce Standards (VICS) Association, http://www.cpfr.org
43. Walker, D. H. T. and Johanns, D. S., 2003, Construction industry joint venture behavior in Hong Kong - designed for collaborative results? International Journal of Project Management, 21, 39-49.
44. Wilson, I., 1995, Distribution control systems within the supply chain. Logistics Information Management, 8(3) 80-82.
45. Winkler, L. R., 1990, Decision modeling and rational choice: AHP and utility theory. Management Science, 36(3), 247-275.
46. Xu, K., Dong, Y. and Evers, P. T., 2001, Towards better coordination of supply chain. Transportation Research, Part E, 37, 35-54.