A simulated annealing approach to a bi-criteria sequencing problem in a two-stage supply chain

Computers and Industrial Engineering

Volumn 50, Issue 1-2, 2006, Pages 105-119

  Mansouri, S Afshin ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Bi criteria sequencing; Multi objective simulated annealing; Set up coordination; Supply chain

Indexed keywords

GENETIC ALGORITHMS; OPTIMAL CONTROL SYSTEMS; PARETO PRINCIPLE; PRODUCTION CONTROL; ROBUSTNESS (CONTROL SYSTEMS); SIMULATED ANNEALING;

BI-CRITERIA SEQUENCING; MULT-OBJECTIVE SIMULATED ANNEALING (MOSA); SET-UP COORDINATION; SUPPLY CHAIN;

HEURISTIC METHODS;

EID: 33744522186     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2006.01.002     Document Type: Article

References (20)

1. Agnetis A., Detti P., Meloni C., and Pacciarelli D. Set-up coordination between two stages of a supply chain. Annals of Operations Research 107 1-4 (2001) 15-32
2. Czyzak P., and Jaszkiewicz A. Pareto simulated annealing-A metaheuristic technique for multiple-objective combinatorial optimization. Journal of Multi-Criteria Decision Analysis 7 (1998) 34-47
3. Eglese R.W. Simulated annealing: A tool for operational research. European Journal of Operational Research 46 (1990) 271-281
4. Ho D.C.K., Au K.F., and Newton E. Empirical research on supply chain management: A critical review and recommendations. International Journal of Production Research 40 17 (2002) 4415-4430
5. Karasakal E.K., and Köksalan M. A simulated annealing approach to bicriteria scheduling problems on a single machine. Journal of Heuristics 6 3 (2000) 311-327
6. Kirkpatrick S., Gelatt C.D., and Vecchi M.P. Optimization by simulated annealing. Science 220 4598 (1983) 671-679
7. Lee Y.H., Jeong C.S., and Moon C. Advanced planning and scheduling with outsourcing in manufacturing supply chain. Computers & Industrial Engineering 43 (2002) 351-374
8. Li K.P., Ganesan V.K., and Sivakumar A.I. Synchronized scheduling of assembly and multi-destination air transportation in a consumer electronics supply chain. International Journal of Production Research 43 (2005) 2671-2685
9. Mansouri S.A. Coordination of setups between two stages of a supply chain using multi-objective genetic algorithm. International Journal of Production Research 43 15 (2005) 3163-3180
10. McMullen P.R. An efficient frontier approach to addressing JIT sequencing problems via search heuristics. Computers & Industrial Engineering 41 (2001) 335-353
11. Min H., and Zhou G. Supply chain modeling: Past, present and future. Computers & Industrial Engineering 43 (2002) 231-249
12. Moon C., Kim J., and Hur S. Integrated process planning and scheduling with minimizing total tardiness in multi-plants supply chain. Computers & Industrial Engineering 41 (2002) 331-349
13. Nam D., and Park C.H. Multiobjective simulated annealing: A comparative study to evolutionary algorithms. International Journal of Fuzzy Systems 2 2 (2000) 87-97
14. Ruiz-Torres A.J., Enscore E.E., and Barton R.R. Simulated annealing heuristics for the average flow-time and the number of tardy jobs bi-criteria identical parallel machine problem. Computers & Industrial Engineering 33 1-2 (1997) 257-260
15. Selvarajah, E., & Steiner, G. (in press). Batch scheduling in a two-level supply chain-A focus on the supplier. European Journal of Operational Research.
16. Szidarovsky F., Gershon M.E., and Dukstein L. Techniques for multiobjective decision making in systems management (1986), Elsevier, New York, NY
17. Thomas D.J., and Griffin P.M. Coordinated supply chain management. European Journal of Operational Research 94 (1996) 1-15
18. Thoney K.A., Hodjson T.J., King R.E., Taner M.R., and Wilson A.D. Satisfying due-dates in large multi-factory supply chains. IIE Transactions 34 (2002) 803-811
19. Torabi, S. A., Fatemi Ghomi, S. M. T. & Karimi, B. (in press). A hybrid genetic algorithm for the finite horizon economic lot and delivery scheduling in supply chains. European Journal of Operational Research.
20. Vergara F.E., Khouja M., and Mickalewicz Z. An evolutionary algorithm for optimizing material flow in supply chains. Computers & Industrial Engineering 43 (2002) 407-421