Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11960
Title: A CBFSA approach to resolve the distributed manufacturing process planning problem in a supply chain environment
Authors: Mishra, N
Kumar, V
Chan, FTS 
Tiwari, MK
Keywords: CAPP
cost
distributed manufacturing supply chain
lead time
process plan
Issue Date: 2012
Publisher: Taylor & Francis
Source: International journal of production research, 2012, v. 50, no. 2, p. 535-550 How to cite?
Journal: International journal of production research 
Abstract: In this competitive world cost and lead time reduction are of prime concern for manufacturing firms. To achieve this objective manufacturing entities are adopting several management philosophies such as Total Quality Management (TQM), just-in-time (JIT), and theory of constraints (TOC). The present paper addresses the advanced computer-aided process planning (ACAPP) problem in a distributed manufacturing supply chain environment and aims at cost and lead times reduction under several technological constraints. To deal with the complexity of the problem the constraint based fast simulated annealing (CBFSA) algorithm has been explored in this article. Extensive computations have been performed over the well-known benchmarks of advanced planning problems and the results obtained prove the superiority of the proposed algorithm over the prior approaches.
URI: http://hdl.handle.net/10397/11960
ISSN: 0020-7543
EISSN: 1366-588X
DOI: 10.1080/00207543.2010.543176
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