arrow
返回

An ant colony optimization algorithm for scheduling virtual cellular manufacturing systems

delete2007-07-25
delete34
PRE
AI
彭
彭平 (Ping Peng)
X
X. X. Wang
DOI:10.1080/09511920600596821delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper presents a methodology to solve the manufacturing cell creation and the production scheduling problems for designing virtual cellular manufacturing systems (VCMSs). The objective is to minimize the total materials and components travelling distance incurred. The methodology consists of (i) a mathematical model that describes the characteristics of a VCMS and includes constraints such as delivery due dates of products, maximum capacities of resources, critical tools limitation, and (ii) an ant colony optimization (ACO) algorithm for manufacturing cell formation and production scheduling. Since the proposed ACO algorithm does not indicate a feasible schedule explicitly, two simple heuristics are developed to assign workstations to the operations of the jobs, and to construct the final schedule. To demonstrate the effectiveness of the proposed methodology, both the ACO algorithm and the genetic algorithm are applied to design manufacturing cells for a company in China producing internal combustion engine components. Comparison of the results obtained with the results supplied by the company on the existing manufacturing system show that both the ACO algorithm and the genetic algorithm together with the virtual cellular manufacturing concept perform better than the current manufacturing practice in terms of average workstation utilization, product completion time and system throughput. Also, the results of a set of randomly generated numerical experiments show that the proposed ACO algorithm generates excellent final solutions in a much shorter computation time when compared with the genetic algorithm. Therefore, the mathematical model and the ACO algorithm proposed in this paper form a simple, but effective and efficient methodology to solve the manufacturing cell creation and production scheduling problems for designing VCMSs.
Keyword:
virtual cellular manufacturing cells
ant colony optimization
production scheduling
manufacturing cell creation
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

I
International Journal of Computer Integrated Manufacturing
IF:
4
论文数:
2.3K
被引数:
3.4K

机构

暂无机构信息
引用论文

引用论文

Dynamic cellular manufacturing system (DCMS)
err1996-10-01
err34
PREAI
errRheault, M; Drolet, JR; Abdulnour, G
err分享
err收藏
Firm Defaults and the Correlation Effect
err2003-07-11
err0
PREAI
errHans Gersbach; Alexander Lipponer
err分享
err收藏
Dynamical approach to ancilla-assisted quantum thermometry
err2018-10-23
err0
errOAAI
errAlexander Holm Kiilerich; Antonella De Pasquale; Vittorio Giovannetti
err分享
err收藏
Investigating the impact of London’s Ultra Low Emission Zone on children’s health: Children’s Health in London and Luton (CHILL): Protocol for a prospective parallel cohort study
err
IF0
err2021-02-08
err0
errOAAI
errGrainne Colligan; Ivelina Tsocheva; James Scales; Jasmine Chavda; Rosamund Dove; Harpal Kalsi; Helen Wood; Louise Cross; Chris Newby; Amy Hall; Mia Keating; Kristian Petrovic; Bill Day; Cheryll Crichlow; Amanda Keighley; Ann Thomson; Florian Tomini; Fran Balkwill; Borislava Mihaylova; Jonathan Grigg; Esther van Sluijs; Monica Fletcher; Mark Mon-Williams; John Wright; Sean Beevers; Gurch Randhawa; Sandra Eldridge; Aziz Sheikh; James Gauderman; Frank Kelly; Ian S Mudway; Christopher J Griffiths
err分享
err收藏
err分享
err收藏
学者 查看更多内容