Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207540210155864
Title: Hybrid GA and SA dynamic set-up planning optimization
Authors: Ong, S.K. 
Ding, J. 
Nee, A.Y.C. 
Issue Date: 15-Dec-2002
Source: Ong, S.K., Ding, J., Nee, A.Y.C. (2002-12-15). Hybrid GA and SA dynamic set-up planning optimization. International Journal of Production Research 40 (18) : 4697-4719. ScholarBank@NUS Repository. https://doi.org/10.1080/00207540210155864
Abstract: Set-up planning is used to determine the set-up of a workpiece with a certain orientation and fixturing on a worktable, as well as the number and sequence of set-ups and operations performed in each set-up. This paper presents a concurrent constraint planning methodology and a hybrid genetic algorithm (GA) and simulated annealing (SA) approach for set-up planning, and re-set-up planning in a dynamic workshop environment. The proposed approach and optimization methodology analyses the precedence relationships among features to generate a precedence relationship matrix (PRM). Based on the PRM and inquiry results from a dynamic workshop resource database, the hybrid GA and SA approach, which adopts the feature-based representation, optimizes the set-up plan using six cost indices. The PRM acts as the main constraints for the set-up planning optimization. Case studies show that the hybrid GA and SA approach is able to generate optimal results as well as carry out re-set-up planning on the occurrence of work-shop resource changes.
Source Title: International Journal of Production Research
URI: http://scholarbank.nus.edu.sg/handle/10635/51433
ISSN: 00207543
DOI: 10.1080/00207540210155864
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