Cartonization and Slotting Optimization Model and Algorithm for Considering Correlation in Hybrid Travel Policy

DOI

10.2991/meic-15.2015.230How to use a DOI?

Keywords

Slotting optimization; Cartonization optimization; PSO; SKUs correlation; Collaborative optimization algorithm

Abstract

In wave-picking and entire-replenishment zone-based warehouse, the slotting and cartonization problems occur with equal frequency and can be the optimization conditions for each other. A dynamic location assignment model is proposed to minimize the wave-picking time among all of zones, and a particle swarm optimization (PSO) for slotting is designed according to SKUs correlation and simulate cartonization optimization (SCO) based on SKUs’ location. Therefore, the new PSO-SCO heuristic algorithm is given to solve the slotting and cartonization problem simultaneously. With the improvement of picking time is from 2.6% to 8.8%, results show that the solution of PSO-SCO algorithm is better than COI and PSO-SCO algorithm. It has significant impact on improving the picking efficiency.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuepeng Yao
AU  - Xiaomin Zhou
AU  - Yingde Li
AU  - Fanghua Ning
PY  - 2015/04
DA  - 2015/04
TI  - Cartonization and Slotting Optimization Model and Algorithm for Considering Correlation in Hybrid Travel Policy
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1009
EP  - 1012
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.230
DO  - 10.2991/meic-15.2015.230
ID  - Yao2015/04
ER  -