Multi-objective analysis of an integrated supply chain scheduling problem

International Journal of Production Research

Volumn 50, Issue 10, 2012, Pages 2624-2638

  Cakici, Eray ^a   Mason, Scott J ^b   Kurz, Mary E ^b  

^a IBM   (Turkey)

^b Clemson University   (United States)

Author keywords

Genetic algorithms; Heuristics; Math programming; Multi criteria decision making; Supply chain management

Indexed keywords

EID: 85008185108     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.578162     Document Type: Article

References (37)

1. Anily, S. and Tzur, M., 2005. Shipping multiple items by capacitated vehicles: An optimal dynamic programming approach. Transportation Science, 39, 233-248.
2. Arroyo, J.E.C. and Armentano, V.A., 2005. Genetic local search for multi-objective flowshop scheduling problems. European Journal of Operational Research, 167, 717-738.
3. Averbakh, I. and Zhihui, X., 2007. On-line supply chain scheduling problems with preemption. European Journal of Operational Research, 173, 500-504.
4. Chen, B. and Lee, C., 2008. Logistics scheduling with batching and transportation. European Journal of Operations Research, 189, 871-876.
5. Chen, Z.L. and Vairaktarakis, G.L., 2005. Integrated scheduling of production and distribution operations. Management Science, 51 (4), 614-628.
6. Chen, Z.L. and Pundoor, G., 2006. Order assignment and scheduling in a supply chain. Operations Research, 54 (3), 555-572.
7. Chen, Z.L. and Hall, N.G., 2007. Supply chain scheduling: Conflict and cooperation in assembly systems. Operations Research, 55, 1072-1089.
8. Chen, Z.L., 2010. Integrated production and outbound distribution scheduling: Review and extensions. Operations Research, 58, 130-148.
9. Cheng, T.C.E., 2001. Single supplier scheduling for multiple deliveries. Annals of Operations Research, 107, 51-63.
10. Cochran, J., Horng, S., and Fowler, J., 2003. A multi-population genetic algorithm to solve multi-objective scheduling problems for parallel machines. Computers & Operations Research, 30, 1087-1102.
11. Dawande, M., et al., 2006. Supply chain scheduling: Distribution systems. Productions and Operations Management, 15, 243-261.
12. Deb, K., 2001. Multi-objective optimization using evolutionary algorithms.Chichester, UK: Wiley.
13. Deb, K., et al., 2002. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182-197.
14. Garey, M.R. and Johnson, D.S., 1979. Computers and intractability: A guide to the theory of NP-completeness. New York: W.H. Freeman.
15. Geismar, H.N., et al., 2008. The integrated production and transportation scheduling problem for a product with a short lifespan. INFORMS Journal on Computing, 20, 21-33.
16. Graham, R., et al., 1979. Optimization and approximation in deterministic sequencing and scheduling: A survey. Annals of Discrete Mathematics, 5, 237-287.
17. Hall, N.G. and Potts, C.N., 2003. Supply chain scheduling: Batching and delivery. Operations Research, 51, 566-584.
18. Hall, N.G. and Potts, C.N., 2005. The coordination of scheduling and batch deliveries. Annals of Operations Research, 135, 41-64.
19. Hoogeveen, H., 2005. Multi-criteria scheduling - Invited review. European Journal of Operational Research, 167, 592-623.
20. Jaszkiewicz, A., 2002. Genetic local search for multi-objective combinatorial optimization. European Journal of Operational Research, 137, 50-71.
21. Ji, M., He, Y., and Cheng, T.C.E., 2007. Batch delivery scheduling with batch delivery cost on a single machine. European Journal of Operational Research, 176, 745-755.
22. Lawler, E., 1977. A pseudopolynomial time algorithm for sequencing jobs to minimize total tardiness. Annals of Discrete Mathematics, 1, 331-342.
23. Lee, C.Y. and Chen, Z.L., 2001. Machine scheduling with transportation considerations. Journal of Scheduling, 4, 3-24.
24. Lei, L., et al., 2006. On the integrated production, inventory, and distribution routing problem. IIE Transactions, 38, 955-970.
25. Lenstra, J.K., Rinnooy-Kan, A.H.G., and Brucker, P., 1977. Complexity of machine scheduling problems. Annals of Discrete Mathematics, 1, 343-362.
26. Li, C.L., Vairaktarakis, G.L., and Lee, C.Y., 2005. Machine scheduling with deliveries to multiple customer locations. European Journal of Operational Research, 164 (1), 39-51.
27. Li, K.P., Ganesan, V.K., and Sivakumar, A.I., 2005. Synchronizing scheduling of assembly and multi-destination air-transportation in a customer electronics supply chain. International Journal of Production Research, 43 (13), 2671-2685.
28. Mazdeh, M.M., Sarhadi, M., and Hindi, K.H., 2007. A branch-and-bound algorithm for single-machine scheduling with batch delivery minimizing flow times and delivery costs. European Journal of Operational Research, 183, 74-86.
29. Perez, I.C., Fowler, J.W., and Carlyle, W.M., 2005. Minimizing total weighted tardiness on a single batch process machine with incompatible job families. Computers and Operations Research, 32, 327-341.
30. Pinedo, M., 2002. Scheduling: Theory, algorithms, and systems. Engelwood Cliffs, NJ: Prentice Hall.
31. Pundoor, G. and Chen, Z.L., 2005. Scheduling a production-distribution system to optimize the tradeoff between delivery tardiness and distribution cost. Naval Research Logistics, 52, 571-589.
32. Qi, X.A., 2005. Logistics scheduling model: Inventory cost reduction by batching. Naval Research Logistics, 52, 312-320.
33. Selvarajah, E. and Steiner, G., 2006. Batch scheduling in a two-level supply chain - a focus on the supplier. European Journal of Operational Research, 173, 226-240.
34. Vepsalainen, A. and Morton, T., 1987. Priority rules for job shops with weighted tardiness costs. Management Science, 33, 1035-1047.
35. Wang, G. and Cheng, T.C.E., 2000. Parallel machine scheduling with batch delivery costs. International Journal of Production Economics, 68, 177-183.
36. Wang, X. and Cheng, T.C.E., 2007. Machine scheduling with an availability constraint and job delivery coordination. Naval Research Logistics, 54, 11-20.
37. Zhong, W., Dosa, G., and Tan, Z., 2007. On the machine scheduling problem with job delivery coordination. European Journal of Operational Research, 182, 1057-1072.