A FUZZY APPROACH TO PROCESS PLAN SELECTION

被引：44

作者：

ZHANG, HC

HUANG, SH

机构：

[1] Department of lndustrial Engineering, Texas Tech University, Lubbock, TX

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1994年 / 32卷 / 06期

关键词：

D O I：

10.1080/00207549408956999

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Process planning is the systematic determination of the detailed methods by which parts can be manufactured from raw material to finished product. In a real manufacturing environment, usually several different parts need to be manufactured in a single facility sharing constrained resources. The existence of alternative process plans for each part makes the selection of process plan a very important issue in manufacturing. The objectives in process plan selection might be imprecise and conflicting. In this paper, a fuzzy approach is used to deal quantitatively with the imprecision of the process plan selection problem. Each process plan is evaluated and its contribution to shopfloor performance is calculated using fuzzy set theory. A progressive refinement approach is used to first identify the set of process plans that maximize the contributions, and then consolidate the set to reduce the manufacturing resources needed.

引用

页码：1265 / 1279

页数：15

共 18 条

[1]

Bellman R.E., Zadeh L.A., Decision-making in a fuzzy environment, Management Science, 17, 4, pp. B141-B164, (1970)

[2]

Bhaskaran K., Process plan selection, International Journal of Production Research, 28, 8, pp. 1527-1539, (1990)

[3]

Buchanan B.G., Shortliffe E.H., Rule-Based Expert Systems, (1984)

[4]

Chang T.G., Expert Process Planning for Manufacturing, (1990)

[5]

Dubois D., Prade H., Fuzzy Sets and Systems: Theory and Application, (1980)

[6]

Feigenbaum E.A., The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering. Proceedings of the Fifth International Joint Conference on Artificial Intelligence, pp. 1014-1029, (1977)

[7]

Gupta T., An expert system approach in process planning: Current development and its future, Computers and Industrial Engineering, 18, 1, pp. 69-80, (1990)

[8]

Ham I., Lu S.C., Computer-aided process planning: The present and the future, Annals of the CIRP, 37, 2, pp. 1-11, (1988)

[9]

Klir G.J., Folger T.A., Fuzzy Sets, Uncertainty, And Information, (1988)

[10]

Kusiak A., Process planning: A knowledge-based and optimization perspective, IEEE Transactions on Robotics and Automation, 7, 3, pp. 257-266, (1991)

← 1 2 →