An efficient hybrid genetic algorithm for the multi-product multi-period inventory routing problem

International Journal of Production Economics

Volumn 133, Issue 1, 2011, Pages 334-343

  Moin, N H ^a   Salhi, S ^b   Aziz, N A B ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Genetic algorithm; ILP formulation; Inbound logistics; Inventory routing

Indexed keywords

FLEET OPERATIONS; GENETIC ALGORITHMS; TRANSPORTATION ROUTES;

CROSSOVER AND MUTATION; HYBRID GENETIC ALGORITHMS; ILP FORMULATION; INBOUND LOGISTICS; INVENTORY ROUTING; INVENTORY ROUTING PROBLEMS; LOWER AND UPPER BOUNDS; MATHEMATICAL FORMULATION;

ROUTING ALGORITHMS;

EID: 79958186123     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2010.06.012     Document Type: Article

References (19)

1. T.F. AbdelMaguid, and M.M. Dessouky A genetic algorithm approach to the integrated inventorydistribution problem International Journal of Production Research 44 2006 4445 4464 (Pubitemid 44395463)
2. L. Bertazzi, M.G. Speranza, and W. Ukovich Minimization of logistic costs with given frequencies Transportation Research - B 31 4 1997 327 340 (Pubitemid 127430322)
3. L. Bertazzi, G. Paletta, and M.G. Speranza Deterministic order-up-to level policies in an inventory routing problem Transportation Science 36 1 2002 119 132 (Pubitemid 34268737)
4. A. Campbell, M. Savelsbergh, L. Clarke, and A. Kleywegt The inventory routing problem T.G. Crainic, G. Laporte, Fleet Management and Logistics 1998 Kluwer Academic Publishers 95 112
5. T.W. Chien, A. Balakrishnan, and R.T. Wong An integrated inventory routing allocation and vehicle routing problem Transportation Science 23 2 1989 67 76
6. C. Cotta, and van Hemert Studies in Computational Intelligence: Recent Advances in Evolutionary Computation for Combinatorial Optimization 153 2008 Springer-Verlag
7. M. Dror, and M. Ball Inventory/routing: reduction from an annual to a short period problem Naval Research Logistics Quarterly 34 6 1987 891 905 (Pubitemid 18520153)
8. M. Dror, M. Ball, and B. Golden Computational comparison of algorithms for the inventory routing problem Annals of Operations Research 4 1985 3 23
9. M. Dror, and P. Trudeau Savings by split delivery routing Transportation Science 23 1989 141 145
10. A. Federgruen, and P. Zipkin A combined vehicle routing and inventory allocation problem Operations Research 32 1984 1019 1036
11. A. Federgruen, G. Prastacos, and P.A. Zipkin An allocation and distribution model for perishable products Operations Research 34 1986 75 82 (Pubitemid 16571958)
12. Fisher, M.; Greenfield, A.; Jaikumar, R.; Kedia, P.; 1982. Real-time scheduling of a bulk delivery fleet: practical application of lagrangean relaxation. Technical Report, October 1982, The Wharton School, University of Pennsylvania, Department of Decision Sciences.
13. D.E. Goldberg Genetic Algorithms in Search, Optimization and Machine Learning 1986 Addison-Wesley Publishing Company Inc.
14. Lee,C.-H.; Bozer, Y.A.; White III C.C.; 2003. A heuristic approach and properties of optimal solutions to the dynamic inventory routing problem. Working Paper, University of Toronto, Toronto, Canada.
15. S. Lin Computers solutions of the traveling salesman problem Bell System Technical Journal 44 1965 2245 2269
16. N.H. Moin, and S. Salhi Inventory routing problems: a logistical overview Journal of Operational Research Society 58 2007 1185 1194 (Pubitemid 47229576)
17. Ribeiro, R.; Laurenço, H.R.; 2002. Inventory-routing model, for a multi-period problem with stochastic and deterministic demand. UPF Economics and Business Working Paper.
18. P. Trudeau, and M. Dror Stochastic inventory routing: route design with stockouts and route failures Transportation Science 26 3 1992 171 184
19. Y. Yu, H. Chen, and F. Chu A new model and hybrid approach for large scale inventory routing problems European Journal of Operational Research 189 2008 1022 1040 (Pubitemid 351400592)