Earticle

초록

영어

This study proposes a systemic method to selecting between two basic types of order picking system picker-to-parts system and put system for different types of customer orders such as wholesaler orders, retailer orders and consumer orders. In essence, order batching and picking area zoning are cluster method about customer order sheet, so the customer order sheet can be gridded into many unit blocks. After the picking time formulation for each system in one-dimensional unit blocks is defined according to the logical movements, the time sequence models for two-dimensional systems are established by filling curves to link the one-dimensional unit blocks to form tow-dimensional system. In consideration of “U” shaped dual tour, the subtraction value between picker-to-parts system and put system is used as the criteria to select the suitable system. Genetic algorithm is adopted to find the optimal value for each system. Through the experimental study, the proposed method is proved to be able to get the suitability of picker-to-parts system and put system for given orders with the hypothetic value of parameters, and some key factors such as zone number, batch size, wave size, dual tour and setup time have significant effect on suitability of each system for different orders.

목차

Abstract
 1. Introduction
 2. Problem Analysis
  2.1. Order Picking Time
  2.2. Order Cluster
  2.3. Storage Assignment
 3. Problem Modeling
  3.1. Order Picking Time Formulation in Unit Grid
  3.2. Time of 2-Dimensional System using Filling Curves
  3.3. The Effect of Dual Tour
 4. Objective Function and Algorithm
  4.1. Objective Function
  4.2. Optimization with Genetic Algorithm
 5. Experimental Research
  5.1. Input Analysis
  5.2. Output analysis
 6. Conclusion and Further Research
 Acknowledgements
 References

키워드

저자

• Ningning Chen [ School of Economics, University of Jinan ]
• Changpeng Shen [ Shandong Blue Swords Logistics Technology Company ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605