Control policies of changeable manufacturing-remanufacturing systems using two failure-prone production facilities

Assid, M.; Gharbi, Ali; Hajji, Adnène

doi:10.1007/s00170-022-10664-8

Int J Adv Manuf Technol

2022

DOI: 10.1007/s00170-022-10664-8

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Control policies of changeable manufacturing-remanufacturing systems using two failure-prone production facilities

M. Assid

Ali Gharbi

Adnène Hajji

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2024

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Cited by 4 publications

References 37 publications

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A machine learning framework for explainable knowledge mining and production, maintenance, and quality control optimization in flexible circular manufacturing systems

Koulinas,

Paraschos,

Koulouriotis

2024

Flex Serv Manuf J

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In the present study, we employed multiple decision tree algorithms to categorize cases and reflect the most efficient policies constructed by a reinforcement learning algorithm. These approaches treated a complex production, maintenance, and quality control optimization problem within a degrading manufacturing and remanufacturing system. The decision trees’ nodes represent the independent variables, while the trees’ leaves represent the set of function values. The reinforcement learning method revealed all optimization parameters and best policies, which were employed as the training sample for the tree algorithms. After constructing every decision tree, each resulting decision rule was used to solve the optimization problem, and its performance was assessed. Additionally, we performed a sensitivity analysis to determine if the pruning level impacts the objective function value and, generally, the effectiveness of the proposed approach.

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A machine learning framework for explainable knowledge mining and production, maintenance, and quality control optimization in flexible circular manufacturing systems

Koulinas,

Paraschos,

Koulouriotis

2024

Flex Serv Manuf J

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show abstract

Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection

Ait El Cadi,

Gharbi,

Dhouib

et al. 2024

Journal of Manufacturing Systems

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How grey wolf optimization affects remanufacturing

Gal,

Zeh,

Szaller

2024

Procedia CIRP

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Control policies of changeable manufacturing-remanufacturing systems using two failure-prone production facilities

Cited by 4 publications

References 37 publications

A machine learning framework for explainable knowledge mining and production, maintenance, and quality control optimization in flexible circular manufacturing systems

A machine learning framework for explainable knowledge mining and production, maintenance, and quality control optimization in flexible circular manufacturing systems

Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection

How grey wolf optimization affects remanufacturing

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