Capability based formulation and solution of multiple objective cell formation problems using simulated annealing

Author:

Baykasog¯lu Adil,Gindy Nabil N.Z.,Cobb Richard C.

Abstract

An integer multiple objective non‐linear mathematical programming formulation is developed for simultaneously forming part/machine cells. In the proposed model, generic capability units which are termed as resource elements are used to define the processing requirements of parts and processing capabilities of machine tools. Machine capabilities are not generally taken into account in the previous cell formation procedures. Explicit consideration of unique and overlapping machine capabilities can result in better manufacturing cell designs with higher utilisation levels and less machine duplication. The proposed cell formation model has distinguishing features. Several important cell formation objectives, such as minimisation of part dissimilarity (based on production requirements and processing sequences of parts) in formed cells, minimisation of cell load imbalance, and minimisation of extra capacity requirements for cell formation, are considered. In order to solve the mathematical programming model, a simulated annealing algorithm is developed. Cooperative game theoretic approach is applied for evaluating multiple objectives.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Software

Reference50 articles.

1. Adil, G.K., Rajamani, D. and Strong, D. (1996), “Cell formation considering alternate routings”, Int. J. Prod. Res., Vol. 34 No. 5, pp. 1361‐80.

2. Al‐Qattan, I. (1990), “Designing flexible manufacturing cells using a branch and bound method”, Int. J. Prod. Res., Vol. 28 No. 2, pp. 325‐36.

3. Ballakur, A. and Steudel, H.J. (1987), “A within‐cell utilisation heuristic for designing cellular manufacturing systems”, Int. J. Prod. Res., Vol. 25 No. 5, pp. 639‐65.

4. Basu, A., Hyer, N. and Shtub, A. (1989), “An expert system based approach to manufacturing cell design”, Int. J. Prod. Res., Vol. 27 No. 10, pp. 1637‐51.

5. Bennage, W.A. and Dhingra, A.K. (1995), “Single and multi‐objective structural optimization in discrete‐continuous variables using simulated annealing”, Int. J. for Numerical Methods in Engineering, Vol. 38, pp. 2753‐73.

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3