A METHODICAL APPROACH TO THE FLEXIBLE-MANUFACTURING-SYSTEM BATCHING, LOADING AND TOOL CONFIGURATION PROBLEMS

被引：33

作者：

CO, HC

BIERMANN, JS

CHEN, SK

机构：

[1] Department of Decision Sciences, National University of Singapore, 0511

[2] Department of Operations Research, Case Western Reserve University, Cleveland, OH

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1990年 / 28卷 / 12期

关键词：

D O I：

10.1080/00207549008942860

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A mixed-integer programming (MIP) problem is formulated to address the flexible manufacturing system (FMS) batching, loading, and tool configuration problems concurrently. This model results in a great many variables, making its mathematical solution impractical. We introduce a four-pass approach using submodels of the original MIP problem. The approach assumes that the need for batching is primarily that of tool magazine capacity constraints, with balancing and maximizing flexibility as secondary objectives. © 1990 Taylor & Francis Group, LLC.

引用

页码：2171 / 2186

页数：16

共 6 条

[1]

Berrada M., Stecke K.E., A branch and bound approach for machine load balancing in flexible manufacturing systems, Management Science, 32, pp. 1316-1335, (1986)

[2]

Co H.C., Design and Analysis of Flexible Manufacturing Systems: Some Analysis Concepts, (1984)

[3]

Co H.C., Wysk R.A., The robustness of CAN-Q in modeling automated manufacturing systems, International Journal of Production Research, 24, pp. 1485-1503, (1986)

[4]

Co H.C., Chen S.K., Biermann J., Hatching in flexible manufacturing systems, Computer Integrated Manufacturing, 2, pp. 181-185, (1989)

[5]

Stecke K.E., Formulation and solution of nonlinear integer production planning problems for flexible manufacturing systems, Management Science, 29, pp. 273-288, (1983)

[6]

Stecke K.E., Solberg J.J., The optimality of unbalanced workloads and machine group sizes for flexible manufacturing systems, Operations Research, 33, 4, (1985)

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