Balancing mass production machining lines with genetic algorithms

Abstract : A balancing problem for serial machining lines with multi-spindle heads is studied. The objective is to assign a set of given machining operations to a number of machines while minimizing the line cost and respecting a number of given technological and economical constraints. To solve this problem, three different genetic algorithms are suggested and compared via a series of numerical tests. The results of computational experiments are presented and analyzed.
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Communication dans un congrès
Bruno Vallespir; Thècle Alix. International Conference on Advances in Production and Management Systems (APMS), Sep 2009, Paris, France. Springer, IFIP Advances in Information and Communication Technology, AICT-338, pp.65-72, 2010, Advances in Production Management Systems. New Challenges, New Approaches. 〈10.1007/978-3-642-16358-6_9〉
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Olga Guschinskaya, Evgeny Gurevsky, Anton Eremeev, Alexandre Dolgui. Balancing mass production machining lines with genetic algorithms. Bruno Vallespir; Thècle Alix. International Conference on Advances in Production and Management Systems (APMS), Sep 2009, Paris, France. Springer, IFIP Advances in Information and Communication Technology, AICT-338, pp.65-72, 2010, Advances in Production Management Systems. New Challenges, New Approaches. 〈10.1007/978-3-642-16358-6_9〉. 〈hal-01644382〉

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