Inventory-Transportation Integrated Optimization Problem in Many-to-One Distribution System

Li Hui Liu; Ying Mei Pei; Jing Sun

doi:10.4028/www.scientific.net/AMM.178-181.2610

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 178-181Inventory-Transportation Integrated Optimization...

Inventory-Transportation Integrated Optimization Problem in Many-to-One Distribution System

Abstract:

In many-one distribution system, the Greedy Randomized Adaptive Search Procedure (GRASP) was applied to solve the Inventory-transportation Integrated Optimization problem (ITIO problem). The ITIO problem in many-one distribution system is difficult. When the product variety, the supplier quantity or the vehicle capacity increases, the calculated quantity will increase exponentially, and it is very difficult to get an exact solution. However, the GRASP can answer this problem. Further, by analyzing the computer experiments, it is proved that the GRASP can find the better solution to the ITIO problem in less time, and the quality of the solution will be improved with the size of the problem expanding.

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Periodical:

Applied Mechanics and Materials (Volumes 178-181)

Pages:

2610-2614

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.178-181.2610

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Online since:

May 2012

Authors:

Li Hui Liu, Ying Mei Pei, Jing Sun

Keywords:

Algorithm (GA), Greedy Randomized Adaptive Search Procedure, Integrated Optimization, Inventory Control, Many-to-One Distribution System, Model, Transportation Arrangement

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