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Process plan generation in reconfigurable manufacturing systems using adapted NSGA-II and AMOSA

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3 Author(s)
Bensmaine, A. ; ISGMP Bat. A, INRIA Nancy Grand-Est, Metz, France ; Benyoucef, L. ; Dahane, M.

Reconfigurable manufacturing system (RMS) is a manufacturing paradigm that cost-effectively responses to market changes. This paper addresses the multi-objective process plan generation problem in RMS. More specifically, two meta-heuristics, namely Non-dominated Sorting Genetic Algorithm (NSGA-II) and Archived Multi-Objective Simulated Annealing (AMOSA), are adapted to generate near-optimal process plans. With the help of a numerical example, the performances of the two metaheuristics are demonstrated and compared.

Published in:

Industrial Informatics (INDIN), 2011 9th IEEE International Conference on

Date of Conference:

26-29 July 2011