Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 40, Issue 18, Pages 4697-4719Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207540210155864
Keywords
-
Ask authors/readers for more resources
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 work-shop 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 workshop resource changes.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available