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International Journal of Production Research Volume 61, 2023 - Issue 1: Analytics and Machine Learning in Scheduling and Routing Optimization
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Research Article

Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times

Kuo-Ching Yinga Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanORCID Iconhttps://orcid.org/0000-0002-9549-5290View further author information
ORCID Icon,
Pourya Pourhejazya Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanORCID Iconhttps://orcid.org/0000-0002-1207-3587View further author information
ORCID Icon,
Chen-Yang Chenga Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanCorrespondence[email protected]
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&
Ren-Siou Syua Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan;b Powertech Technology Inc, Hsinchu Industrial Park, Hukou, Hsinchu 30352, TaiwanView further author information
Pages 258-281 | Received 13 Apr 2020, Accepted 14 Sep 2020, Published online: 18 Nov 2020

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Huosong Xia, Zelin Sun, Yuan Wang, Justin Zuopeng Zhang, Muhammad Mustafa Kamal, Sajjad M. Jasimuddin & Nazrul Islam. (2023) Emergency medical supplies scheduling during public health emergencies: algorithm design based on AI techniques. International Journal of Production Research 0:0, pages 1-23.
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Ai Zhao & Jonathan F. Bard. (2023) Batch scheduling in a multi-purpose system with machine downtime and a multi-skilled workforce. International Journal of Production Research 0:0, pages 1-24.
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Biao Han, Quan-Ke Pan & Liang Gao. (2023) A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem. International Journal of Production Research 0:0, pages 1-28.
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Mahmoud Efatmaneshnik & Shraga Shoval. (2023) Stochastic modelling of process scheduling for reduced rework cost and scrap. International Journal of Production Research 61:1, pages 219-237.
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Dmitry Ivanov. (2021) Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies. International Journal of Production Research 59:12, pages 3535-3552.
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Articles from other publishers (17)

Hajar Sadki, Said Aqil, Jabrane Belabid & Karam Allali. (2023) Multi-Objective Optimization Flow Shop Scheduling Problem Solving the Makespan and Total Flow Time with Sequence Independent Setup Time. Journal of Advanced Manufacturing Systems 23:01, pages 163-184.
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Guanghui Zhang, Bo Liu, Ling Wang & Keyi Xing. (2024) Distributed Heterogeneous Co-Evolutionary Algorithm for Scheduling a Multistage Fine-Manufacturing System With Setup Constraints. IEEE Transactions on Cybernetics 54:3, pages 1497-1510.
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Chin-Chia Wu, Xingong Zhang, Danyu Bai, Ameni Azzouz, Wen-Hsiang Wu, Xin-Rong Chen & Win-Chin Lin. (2023) Sequencing a tri-criteria multiple job classes and customer orders problem on a single machine by using heuristics and simulated annealing method. Operational Research 24:1.
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Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, Huili Geng, Xiaomeng Wang, Miaolei Deng & Guohui Zhang. (2024) Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey. Frontiers in Industrial Engineering 2.
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Jian-You Xu, Win-Chin Lin, Kai-Xiang Hu, Yu-Wei Chang, Wen-Hsiang Wu, Peng-Hsiang Hsu, Tsung-Hsien Wu & Chin-Chia Wu. (2024) A bi-criterion sequence-dependent scheduling problem with order deliveries. PeerJ Computer Science 10, pages e1763.
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Pourya Pourhejazy. 2024. The Palgrave Handbook of Supply Chain Management. The Palgrave Handbook of Supply Chain Management 315 340 .
Kuo-Ching Ying & Shih-Wei Lin. (2022) Reinforcement learning iterated greedy algorithm for distributed assembly permutation flowshop scheduling problems. Journal of Ambient Intelligence and Humanized Computing 14:8, pages 11123-11138.
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Kuo-Ching Ying, Pourya Pourhejazy & Po-Jui Fu. (2023) N-list-enhanced heuristic for distributed three-stage assembly permutation flow shop scheduling. Annals of Operations Research.
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Win-Chin Lin, Xingong Zhang, Xinbo Liu, Kai-Xiang Hu, Shuenn-Ren Cheng, Ameni Azzouz & Chin-Chia Wu. (2023) Sequencing single machine multiple-class customer order jobs using heuristics and improved simulated annealing algorithms. RAIRO - Operations Research 57:3, pages 1417-1441.
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Pourya Pourhejazy, Chen-Yang Cheng, Kuo-Ching Ying & Nguyen Hoai Nam. (2022) Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups. Annals of Operations Research 322:1, pages 125-146.
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Kuo-Ching Ying, Fabio Fruggiero, Pourya Pourhejazy & Bo-Yun Lee. (2022) Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems. Expert Systems with Applications 198, pages 116908.
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Pourya Pourhejazy. 2022. The Palgrave Handbook of Supply Chain Management. The Palgrave Handbook of Supply Chain Management 1 26 .
Jianguo Zheng & Yilin Wang. (2021) A Hybrid Bat Algorithm for Solving the Three-Stage Distributed Assembly Permutation Flowshop Scheduling Problem. Applied Sciences 11:21, pages 10102.
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Mohammad Ali Beheshtinia, Parisa Feizollahy & Masood Fathi. (2021) Supply Chain Optimization Considering Sustainability Aspects. Sustainability 13:21, pages 11873.
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Pourya Pourhejazy, Chen-Yang Cheng, Kuo-Ching Ying & Su-Yuan Lin. (2021) Supply chain-oriented two-stage assembly flowshops with sequence-dependent setup times. Journal of Manufacturing Systems 61, pages 139-154.
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Wenjun Pan & Miao Lin. (2021) A Two-Stage Closed-Loop Supply Chain Pricing Decision: Cross-Channel Recycling and Channel Preference. Axioms 10:2, pages 120.
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Jamilya Nurgazina, Udsanee Pakdeetrakulwong, Thomas Moser & Gerald Reiner. (2021) Distributed Ledger Technology Applications in Food Supply Chains: A Review of Challenges and Future Research Directions. Sustainability 13:8, pages 4206.
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