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A genetic algorithm approach to the integrated inventory-distribution problem

delete2006-11-01
delete99
PRE
AI
T
Tamer F. Abdelmaguid
M
Maged Dessouky *
DOI：10.1080/00207540600597138delete
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Abstract

Abstract

En 中文
We introduce a new genetic algorithm (GA) approach for the integrated inventory distribution problem (IIDP). We present the developed genetic representation and use a randomized version of a previously developed construction heuristic to generate the initial random population. We design suitable crossover and mutation operators for the GA improvement phase. The comparison of results shows the significance of the designed GA over the construction heuristic and demonstrates the capability of reaching solutions within 20% of the optimum on sets of randomly generated test problems.
Keywords:
inventory routing
inventory management
vehicle routing
GA
lot sizing
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

International Journal of Production Research cover
International Journal of Production Research
IF:
7.3
Papers:
1.1W
Citations:
3.7W

Organization

No organization information available