TY - JOUR
T1 - A fuzzy approach to process plan selection
AU - Zhang, H. C.
AU - Huang, S. H.
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 1994/6
Y1 - 1994/6
N2 - 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 issuein manufacturing. The objectivesin 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.Aprogressive 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.
AB - 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 issuein manufacturing. The objectivesin 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.Aprogressive 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.
UR - http://www.scopus.com/inward/record.url?scp=0028454972&partnerID=8YFLogxK
U2 - 10.1080/00207549408956999
DO - 10.1080/00207549408956999
M3 - Article
AN - SCOPUS:0028454972
VL - 32
SP - 1265
EP - 1279
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 6
ER -