Earticle

초록

영어

A method is presented to select the suitable order picking system between pick-and-sort system, a type of semi-automated put system, and carousel system, a type of parts-to-picker system, for different types of customer orders, mainly determined by density and quantity. As policies of batching and zoning are essentially order clustering, the customer order sheet can be divided into unit grids. Then the time formulation for each system can be derived according to the logical movements in a unit grid and time sequence relationship among all unit grids. Genetic algorithm is adopted to search the optimal order picking time. Subtraction value ΔT of order picking time between two kinds of system is used as the criteria to select more suitable system. In the experimental study, not only the suitability of each system with the hypothetic value of parameters can be got, but also the effect of some key factors on suitability is finally discussed.

목차

Abstract
 1. Introduction
 2. Problem analysis
  2.1 Oder picking time composition
  2.2 Batching and zoning using order cluster
  2.3 Storage assignment using COI
 3. Problem Modeling
  3.1 Time Model of Pick-and-sort System
  3.2 Time Model of Carousel System
 4. Objective function and algorithm
  4.1 Objective function
  4.2 Optimization with genetic algorithm
 5. Experimental study
  5.1 Input data
  5.2 Output analysis
 6. Conclusion and Further Research
 References

키워드

저자

• Wang Yanyan [ School of Control Science and Engineering, Shandong University ]
• Mou Shandong [ School of Control Science and Engineering, Shandong University ]
• Shen Changpeng [ School of Control Science and Engineering, Shandong University ]

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