Balancing mass production machining lines with genetic algorithms

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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. © 2010 IFIP International Federation for Information Processing.

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Guschinskaya, O., Gurevsky, E., Eremeev, A., & Dolgui, A. (2010). Balancing mass production machining lines with genetic algorithms. In IFIP Advances in Information and Communication Technology (Vol. 338 AICT, pp. 65–72). https://doi.org/10.1007/978-3-642-16358-6_9

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