A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain

International Journal of Production Economics

Volumn 111, Issue 2, 2008, Pages 229-243

  Farahani, Reza Zanjirani ^a   Elahipanah, Mahsa ^a,b  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b Supply Chain Management Research Group   (Iran)

Author keywords

Bi objective; Distribution; Genetic algorithm; Optimization; Supply chain management

Indexed keywords

COST ACCOUNTING; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING;

BI-OBJECTIVE MODEL; COST REDUCTIONS; JUST-IN-TIME (JIT) DISTRIBUTION; MULTI-CHANNEL NETWORK;

SUPPLY CHAIN MANAGEMENT;

EID: 37349053771     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2006.11.028     Document Type: Article

References (22)

1. Alptekinoglu A., and Tang C.S. A model for analyzing multi-channel distribution systems. European Journal of Operational Research 163 3 (2005) 802-824
2. Chan Y., Carter W.B., and Burnes M.D. A multiple-depot, multiple-vehicle, location-routing problem with stochastically processed demands. Computers & Operations Research 28 (2001) 803-826
3. Chan F.T.S., Chung S.H., and Wadhwa S. A hybrid genetic algorithm for production and distribution. Omega 33 4 (2005) 345-355
4. Chen C., and Lee W. Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering 28 (2004) 1131-1144
5. Dasci A., and Verter V. A continuous model for production-distribution system design. European Journal of Operational Research 129 (2001) 287-298
6. Eskigun E., Uzsoy R., Preckel P.V., Beaujon G., Krishnan S., and Tew J.D. Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers. European Journal of Operational Research 165 1 (2005) 182-206
7. Han C., and Damrongwongsiri M. Stochastic modeling of a two-echelon multiple sourcing supply chain system with genetic algorithm. Journal of Manufacturing Technology 16 1 (2005) 87-108
8. Hwang H.S. Design of supply-chain logistics system considering service level. Computers & Industrial Engineering 43 (2002) 283-297
9. Jayaraman V., and Pirkul H. Planning and coordination of production and distribution facilities for multiple commodities. European Journal of Operational Research 133 (2001) 394-408
10. Jayaraman V., and Ross A. A simulated annealing methodology to distribution network design and management. European Journal of Operational Research 144 (2003) 629-645
11. Korpela J., and Lehmusvaara A. A customer oriented approach to warehouse network evaluation and design. International Journal of Production Economics 59 (1999) 135-146
12. Melachrinoudis E., Messac A., and Min H. Consolidating a warehouse network: A physical programming approach. International Journal of Production Economics 97 1 (2005) 1-17
13. Miranda P.A., and Garrido R.A. Incorporating inventory control decisions into a strategic distribution network design model with stochastic demand. Transportation Research Part E 40 (2004) 183-207
14. Mokashi S.D., and Kokossis A.C. Application of dispersion algorithms to supply chain optimization. Computers & Chemical Engineering 27 (2003) 927-949
15. Nozick L.K. The fixed charge facility location problem with coverage restrictions. Transportation Research Part E 37 (2001) 281-296
16. Qu W.W., Bookbinder J.H., and Iyogun P. An integrated inventory-transportation system with modified periodic policy for multiple products. European Journal of Operational Research 115 (1999) 254-269
17. Sabri E.H., and Beamon B.N. A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega 28 (2000) 581-598
18. Sim E., Jung S., Kim H., and Park J. A generic network design for a closed-loop supply chain using genetic algorithms, GECCO 2004. Lecture Notes in Computer Science 3103 (2004) 1214-1225
19. Syam S.S. A model and methodologies for the location problem with logistical components. Computers & Operations Research 29 (2002) 1173-1193
20. Syarif N., Yun Y., and Gen M. Study on multi-stage logistic chain network: A spanning tree-based genetic algorithm approach. Computers & Industrial Engineering 43 (2002) 299-314
21. Wang W., Fung R.Y.K., and Chai Y. Approach of just-in-time distribution requirements planning for supply chain management. International Journal of Production Economics 91 (2003) 101-107
22. Zhou G., Min H., and Gen M. The balanced allocation of customers to multiple distribution centers in the supply chain network: A genetic algorithm approach. Computers & Industrial Engineering 43 (2002) 251-261