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Abstract The work concerns a new problem of minimizing production time of a set of tasks on machines while limiting the availability of machine operators. The problem is taken from… Click to show full abstract
Abstract The work concerns a new problem of minimizing production time of a set of tasks on machines while limiting the availability of machine operators. The problem is taken from practice, from a company producing subassemblies for the automotive industry. A mathematical model of the problem is formulated, and for its solution a neuro-tabu algorithm is proposed, which is a variation of the tabu search algorithm with a neural mechanism replacing the tabu list: short-term memory. The e_ciency of the algorithm constructed in this way is veri_ed on test examples based on real data from the production process.
Journal Title: Neurocomputing
Year Published: 2021
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