Optimal Control Algorithms and Their Analysis for Short-Term Scheduling in Manufacturing Systems

Abstract : Current literature presents optimal control computational algorithms with regard to state, control, and conjunctive variable spaces. This paper first analyses the advantages and limitations of different optimal control computational methods and algorithms which can be used for short-term scheduling. Second, it develops an optimal control computational algorithm that allows for the solution of short-term scheduling in an optimal manner. Moreover, qualitative and quantitative analysis of the manufacturing system scheduling problem is presented. Results highlight computer experiments with a scheduling software prototype as well as potential future research avenues.
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Algorithms, MDPI AG, 2018, 11, pp.57. 〈10.3390/a11050057〉
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Soumis le : jeudi 3 mai 2018 - 09:32:31
Dernière modification le : mardi 4 septembre 2018 - 11:04:01
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Boris Sokolov, Alexandre Dolgui, Dmitry Ivanov. Optimal Control Algorithms and Their Analysis for Short-Term Scheduling in Manufacturing Systems. Algorithms, MDPI AG, 2018, 11, pp.57. 〈10.3390/a11050057〉. 〈hal-01784137〉

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