Study on Dynamic Slotting Optimization in Storage System

Xin Min Zhang; Jing Chao Hou; Hui Zhi Ren

doi:10.4028/www.scientific.net/AMR.933.260

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 933Study on Dynamic Slotting Optimization in Storage...

Study on Dynamic Slotting Optimization in Storage System

Abstract:

In order to improve the efficiency of warehouse on picking, an optimal model for ware location assignment is presented, which is with multi-objective function. To solve the multi-objective optimization problem, a differential evolution algorithm combined with lexicographic sort algorithm is presented. In order to verify the above algorithm, an example is presented. The calculated results show that the algorithm is operable and versatile. The optimized solution can be found fast with better fitness than genetic algorithm which is used to be compared.

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Periodical:

Advanced Materials Research (Volume 933)

Pages:

260-264

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.933.260

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Online since:

May 2014

Authors:

Xin Min Zhang, Jing Chao Hou, Hui Zhi Ren

Keywords:

Differential Evolution, Genetic Algorithm (GA), Slotting Optimization, Ware Location Assignment

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