Advances in Production Engineering & Management
Volume 17 | Number 4 | December 2022 | pp 397–516
Contents
Verification of intelligent scheduling based on deep reinforcement learning for distributed workshops via discrete event simulation
Yang, S.L.; Wang, J.Y.; Xin, L.M.; Xu, Z.G.
https://doi.org/10.14743/apem2022.4.444
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Demand prediction and optimization of workshop manufacturing resources allocation: A new method and a case study
Wan, J.
https://doi.org/10.14743/apem2022.4.445
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Monte Carlo Tree Search improved Genetic Algorithm for unmanned vehicle routing problem with path flexibility
Wang, Y.D.; Lu, X.C.; Song, Y.M.; Feng, Y.; Shen, J.R.
https://doi.org/10.14743/apem2022.4.446
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End-of-line delivery vehicle routing optimization based on large-scale neighbourhood search algorithms considering customer-consumer delivery location preferences
Niu, X.Y.; Liu, S.F.; Huang, Q.L.
https://doi.org/10.14743/apem2022.4.447
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An approach to maintenance sustainability level assessment integrated with Industry 4.0 technologies using Fuzzy-TOPSIS: A real case study
Patalas-Maliszewska, J.; Łosyk, H.
https://doi.org/10.14743/apem2022.4.448
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Optimization of the rhomboidity of continuously cast billets using linear regression and genetic programming: A real industrial study
Kovacic, M.; Zuperl, U.; Brezocnik, M.
https://doi.org/10.14743/apem2022.4.449
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Cause-related marketing strategy in a supply chain: A theoretical analysis and a case study
Xu, G.Y.; Liu, H.; Duan, H.W.
https://doi.org/10.14743/apem2022.4.450
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Impact of Cobot parameters on the worker productivity: Optimization challenge
Javernik, A.; Buchmeister, B.; Ojstersek, R.
https://doi.org/10.14743/apem2022.4.451
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Study on scheduling and path planning problems of multi-AGVs based on a heuristic algorithm in intelligent manufacturing workshop
Wang, Y.J.; Liu, X.Q.; Leng, J.Y.; Wang, J.J.; Meng, Q.N.; Zhou, M.J.
https://doi.org/10.14743/apem2022.4.452
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