Please use this identifier to cite or link to this item:
Title: Fuzzy-set-based approach for concurrent constraint set-up planning
Authors: Ong, S.K. 
Nee, A.Y.C. 
Keywords: CAPP
Fixture planning
Fuzzy sets
Set-up planning
Issue Date: 1996
Citation: Ong, S.K.,Nee, A.Y.C. (1996). Fuzzy-set-based approach for concurrent constraint set-up planning. Journal of Intelligent Manufacturing 7 (2) : 107-120. ScholarBank@NUS Repository.
Abstract: Material removal processes are integral parts of many manufacturing systems. They are either primary machining processes or an important part of preparing toolings for subsequent forming and moulding processes. Manufacturing process planning identifies the type of material removal processes and the machining parameters, cutting tools and fixtures needed to generate the features on a part. Previous research in manufacturing process planning has concentrated mainly on the role of features, in the derivation of the associated process and fixture plans. Many computer-aided process planning (CAPP) and computer-aided fixture planning (CAFP) systems derive process and fixture plans from the features on a part, on the basis that these features are context-free. However, manufacturing operations are interdependent processes. In the author's computer-aided set-up planning (CASP) system, a different perspective is adopted. Feature relations form the core of the conceptual structure. These features relations, which are often imprecise, are used in deriving set-up plans. The feature relations, which may be due to geometrical constraints, tolerance requirements, etc., are modelled using fuzzy sets and fuzzy relations. This paper presents the various feature relations considered in the present system and proposes a practical planning algorithm for set-up planning. © 1996 chapman & hall.
Source Title: Journal of Intelligent Manufacturing
ISSN: 09565515
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Mar 30, 2021

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.