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Articles

A multi-skilled workforce optimisation in maintenance logistics networks by multi-thread simulated annealing algorithms

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Pages 2624-2646 | Received 26 Jun 2019, Accepted 27 Nov 2019, Published online: 06 Mar 2020

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Hongyan Dui, Yulu Zhang & Yun-An Zhang. (2023) Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost. Mathematics 11:8, pages 1954.
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Fuat Kosanoglu, Mahir Atmis & Hasan Hüseyin Turan. (2022) A deep reinforcement learning assisted simulated annealing algorithm for a maintenance planning problem. Annals of Operations Research.
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Xiaoyang Zhen, Jingqian Wen, Yipu Yao & Yaoguang Hu. (2021) A method of constructing the maintenance service network under the redistricting and service provider demand sharing. Procedia CIRP 104, pages 387-392.
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Hasan Hüseyin Turan, Mahir Atmis, Fuat Kosanoglu, Sondoss Elsawah & Michael J. Ryan. (2020) A risk-averse simulation-based approach for a joint optimization of workforce capacity, spare part stocks and scheduling priorities in maintenance planning. Reliability Engineering & System Safety 204, pages 107199.
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Desmond Eseoghene Ighravwe & Sunday Ayoola Oke. (2020) A two-stage fuzzy multi-criteria approach for proactive maintenance strategy selection for manufacturing systems. SN Applied Sciences 2:10.
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