A performance evaluation model for order picking warehouse design

Authors:
Heung Suk Hwang;Gyu Sung Cho
Affiliations:
School of Port and Logistics, Tongmyong University, Yondang-Dong, Nam-Gu, Busan, Republic of Korea;Academy of Port and Logistics Education, Tongmyong University, Busan, Yongdang-Dong, Busan, Republic of Korea
Venue:
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
Year:
2006

Citing 0
Cited 9

Order-batching methods for an order-picking warehouse with two cross aisles

Computers and Industrial Engineering
Evaluation of the throughput of a multiple-picker order picking system with congestion consideration

Computers and Industrial Engineering
Warehouse redesign to satisfy tight supply chain management constraints

WSEAS Transactions on Information Science and Applications
A warehouse management system with sequential picking for multi-container deliveries

Computers and Industrial Engineering
New strategies in the order picking process

Journal of Computational Methods in Sciences and Engineering - Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
Optimizing replenishment polices using Genetic Algorithm for single-warehouse multi-retailer system

Expert Systems with Applications: An International Journal
Throughput analysis for order picking system with multiple pickers and aisle congestion considerations

Computers and Operations Research
An automated picking workstation for healthcare applications

Computers and Industrial Engineering
An ant colony optimization routing algorithm for two order pickers with congestion consideration

Computers and Industrial Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is concerned with a performance evaluation model for the order picking facility for warehouse design in a supply center (SC) by reducing the travel distance of transporters. This study includes important detail aspects of warehouse design and operational parameters such as warehouse size, rack size, number of transporters, and the system performance. In this study, we develop both mathematical and simulation modes considering probabilistic demand and picking frequency, and using simulation S/W, AutoMod. The results are compared and validated via simulation methods using AutoMod simulator. Finally, we developed a systematic and practical computer program and it was known that the proposed method is potentially efficient and useful in performance analysis for order picking warehouse problems.