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Russia Yekaterinburg
Section Computer science
Title Experimental research of the application of modern combinatorial optimization solvers to the accompanying manufacturing optimization problem
Author(-s) Belousov A.N.a, Ivanko E.E.a
Affiliations Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciencesa
Abstract The paper is devoted to the problem of optimization of accompanying manufacturing in flexible or reconfigurable manufacturing systems. Using a set of obligatory products as an input, the initial problem is reduced to two interrelated subproblems: 1) for each product from the set of obligatory products, form a group of additional (accompanying) products that can be manufactured without changing the state of production, and 2) determine the order of manufacturing changeovers between the groups of additional products, as well as the “points of entry and exit” for each group. The subproblems are considered sequentially: the first subproblem is reduced to the maximum weight clique problem, the second - to the cluster traveling salesman problem. Large-scale computational experiments were conducted to reveal the benefits of applying effective modern methods for solving both subproblems in comparison with the greedy solution (which models the rational actions of a human operator solving large accompanying manufacturing problems in short time).
Keywords optimization of accompanying manufacturing, flexible and reconfigurable manufacturing, maximum weight clique, cluster travelling salesman problem
UDC 65.012.122, 519.688
MSC 68M20, 90B30
DOI 10.20537/vm190410
Received 10 October 2019
Language Russian
Citation Belousov A.N., Ivanko E.E. Experimental research of the application of modern combinatorial optimization solvers to the accompanying manufacturing optimization problem, Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2019, vol. 29, issue 4, pp. 599-611.
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