Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 43, Issue 3, Pages 605-621Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0360-8352(02)00129-8
Keywords
integrated machine selection; operation sequencing; genetic algorithm
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In this paper, an integrated machine tool selection and sequencing model is proposed. The model determines machine visiting sequences for all part types, such that the total production time for the production order is minimized and workloads among machine tools are balanced. The model is formulated as a 0-1 integer programming. To solve the model, a genetic algorithm approach based on a topological sort technique is developed. To demonstrate the efficiency of the proposed GA approach on the integrated machine tool selection and sequencing problem, a number of numerical experiments using various size problems are carried out. The numerical experiments show that the proposed GA approach is efficient to this problems. (C) 2002 Published by Elsevier Science Ltd.
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