A simulated annealing method based on a clustering approach to determine bills of materials for a large product family

Author:

Agard Bruno,Penz Bernard

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Economics and Econometrics,General Business, Management and Accounting

Reference20 articles.

1. Local Search in Combinatorial Optimization;Aarts,1997

2. Data mining for subassembly selection;Agard;Journal of Manufacturing Science and Engineering,2004

3. Agard, B., Cheung, B., da Cunha, C., 2006. Selection of a module stock composition using genetic algorithm. In: 12th IFAC Symposium on Information Control Problems in Manufacturing—INCOM 2006, May 17–19, Saint-Etienne, France.

4. The optimal diversity management problem;Briant;Operations Research,2004

5. da Cunha, C., Agard, B., 2005. Composition of modules’ stock using simulated annealing. In: 6th IEEE International Symposium on Assembly and Task Planning—ISATP 2005, July 19–21, Montréal, Canada.

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