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Engineering Optimization Volume 53, 2021 - Issue 5
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Original Articles

Metaheuristics for two-stage flow-shop assembly problem with a truncation learning function

Chin-Chia Wua Department of Statistics, Feng Chia University, Taichung City, Taiwan
,
Xingong Zhangb College of Mathematics Science, Chongqing Normal University, Chongqing, People’s Republic of China
,
Ameni Azzouzc Institut Supérieur de Gestion, SMART Lab., University of Tunis, Tunis, Tunisia
,
Wei-Lun Shena Department of Statistics, Feng Chia University, Taichung City, Taiwan
,
Shuenn-Ren Chengd Graduate Institute of Business Administration, Cheng Shiu University, Kaohsiung City, Taiwan
,
Peng-Hsiang Hsue Department of Business Administration, University of Kang-Ning, Taipei City, Taiwan
&
Win-Chin Lina Department of Statistics, Feng Chia University, Taichung City, TaiwanCorrespondence[email protected]
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Pages 843-866 | Received 29 Oct 2019, Accepted 03 Apr 2020, Published online: 07 May 2020

Citations (12)

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Read on this site (6)

Yenny Alexandra Paredes-Astudillo, Valérie Botta-Genoulaz & Jairo R. Montoya-Torres. (2024) Impact of learning effect modelling in flowshop scheduling with makespan minimisation based on the Nawaz-Enscore-Ham algorithm. International Journal of Production Research 62:6, pages 1999-2014.
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Mohsen Torkashvand & Fardin Ahmadizar. (2023) One-step production and two-step assembly scheduling in identical factories. Engineering Optimization 0:0, pages 1-23.
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Wei Niu, Jun-qing Li, Hui Jin, Rui Qi & Hong-yan Sang. (2023) Bi-objective optimization using an improved NSGA-II for energy-efficient scheduling of a distributed assembly blocking flowshop. Engineering Optimization 55:5, pages 719-740.
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Mohammad Ali Nikouei, Mostafa Zandieh & Maghsoud Amiri. (2022) A two-stage assembly flow-shop scheduling problem with bi-level products structure and machines’ availability constraints. Journal of Industrial and Production Engineering 39:6, pages 494-503.
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Ines Agrebi, Mahdi Jemmali, Hani Alquhayz & Talel Ladhari. (2021) Metaheuristic algorithms for the two-machine flowshop scheduling problem with release dates and blocking constraint. Journal of the Chinese Institute of Engineers 44:6, pages 573-582.
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Tao Ren, Zhuoran Dong, Fang Qi, Jiacheng Weng & Hanyu Xue. Solving the flow-shop scheduling problem with human factors and two competing agents with deep reinforcement learning. Engineering Optimization 0:0, pages 1-17.
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Articles from other publishers (6)

Matan Atsmony, Baruch Mor & Gur Mosheiov. (2022) Single machine scheduling with step-learning. Journal of Scheduling 27:3, pages 227-237.
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Jin Qian & Haiyan Han. (2021) The due date assignment scheduling problem with the deteriorating jobs and delivery time. Journal of Applied Mathematics and Computing 68:4, pages 2173-2186.
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ZiYan Zhao, MengChu Zhou & ShiXin Liu. (2022) Iterated Greedy Algorithms for Flow-Shop Scheduling Problems: A Tutorial. IEEE Transactions on Automation Science and Engineering 19:3, pages 1941-1959.
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Jin Qian & Yu Zhan. (2021) The Due Date Assignment Scheduling Problem with Delivery Times and Truncated Sum-of-Processing-Times-Based Learning Effect. Mathematics 9:23, pages 3085.
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Jun-Hee Han & Ju-Yong Lee. (2021) Heuristics for a Two-Stage Assembly-Type Flow Shop with Limited Waiting Time Constraints. Applied Sciences 11:23, pages 11240.
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Prita Meilanitasari & Seung-Jun Shin. (2021) A Review of Prediction and Optimization for Sequence-Driven Scheduling in Job Shop Flexible Manufacturing Systems. Processes 9:8, pages 1391.
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