Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0007-8506(07)62182-9
Title: Application of Fuzzy Set Theory to Setup Planning
Authors: Ong, S.K. 
Nee, A.Y.C. 
Keywords: Computer Automated Process Planning
Fuzzy Set Theory
Jigs and Fixtures
Issue Date: 1994
Source: Ong, S.K.,Nee, A.Y.C. (1994). Application of Fuzzy Set Theory to Setup Planning. CIRP Annals - Manufacturing Technology 43 (1) : 137-144. ScholarBank@NUS Repository. https://doi.org/10.1016/S0007-8506(07)62182-9
Abstract: Computer-aided process planning and computer-aided fixture planning have been widely researched in the last two decades. Most of these computer-aided systems are, however, either dealing only with process planning or fixture design. This paper advocates set-up planning as a link between these two functions. A set-up planning system for the machining of prismatic parts on a 3-axis vertical machining centre is proposed. This system formulates set-up plans based on the initial, intermediate and final states of a part. The system uses the fuzzy set representation, along with production rules and object representation. This hybrid representation scheme aptly depicts the inexact relationships among features required on a final part, and with those currently present on the part These inexact relationships, which greatly affect set-up planning, are manifestations of the various process and fixture planning constraints in the system. The consideration of these features' relationships together with the intermediate states of a part, allow the system to plan forward without the need to backtrack. Through this representation, the set-up planning problem is formulated using the fuzzy set theory. Using this approach, the proposed system is able to generate set-ups that fulfil the process and fixture planning requirements that are commonly practised by experienced planners. © 1994 CIRP.
Source Title: CIRP Annals - Manufacturing Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/57923
ISSN: 00078506
DOI: 10.1016/S0007-8506(07)62182-9
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