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Engineering Optimization Volume 52, 2020 - Issue 9
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Original Articles

Scheduling with a position-weighted learning effect and job release dates

Ji-Bo Wanga School of Science, Shenyang Aerospace University, Shenyang, PR ChinaCorrespondence[email protected]
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Ming Gaob School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, PR China;c Center for Post-doctoral Studies of Computer Science, Northeastern University, Shenyang, PR ChinaCorrespondence[email protected]
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Jian-Jun Wangd School of Management and Economics, Dalian University of Technology, Dalian, PR ChinaView further author information
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Lu Liud School of Management and Economics, Dalian University of Technology, Dalian, PR ChinaView further author information
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Hongyu Hee Department of Agricultural Commodity, Dalian Commodity Exchange, Dalian, PR ChinaView further author information
Pages 1475-1493 | Received 22 Mar 2019, Accepted 25 Jul 2019, Published online: 25 Sep 2019

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Byung-Cheon Choi, Myoung-Ju Park & Kyung Min Kim. (2022) Min–max version of single-machine scheduling with generalized due dates under scenario-based uncertainty. Engineering Optimization 54:10, pages 1773-1786.
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Xinyu Sun, Xin-Na Geng & Feng Liu. (2021) Flow shop scheduling with general position weighted learning effects to minimise total weighted completion time. Journal of the Operational Research Society 72:12, pages 2674-2689.
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Yuan-Yuan Lu, Ting-Ting Wang, Rui-Qi Wang & Yang Li. (2021) A note on due-date assignment scheduling with job-dependent learning effects and convex resource allocation. Engineering Optimization 53:7, pages 1273-1281.
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Settar Muştu & Tamer Eren. (2021) Minimization of the total weighted tardiness on a single machine scheduling problem with a position based learning effect and unequal release dates. INFOR: Information Systems and Operational Research 59:2, pages 353-376.
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Ji-Bo Wang, Yang Hu & Bo Zhang. (2021) Common due-window assignment for single-machine scheduling with generalized earliness/tardiness penalties and a rate-modifying activity. Engineering Optimization 53:3, pages 496-512.
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Baruch Mor. (2021) Single-machine lot scheduling with variable lot processing times. Engineering Optimization 53:2, pages 321-334.
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Articles from other publishers (21)

Ming-Hui Li, Dan-Yang Lv, Li-Han Zhang & Ji-Bo Wang. (2024) Permutation flow shop scheduling with makespan objective and truncated learning effects. Journal of Applied Mathematics and Computing.
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M. Parichehreh, H. Gholizadeh, A. M. Fathollahi-Fard & K. Y. Wong. (2024) An energy-efficient unrelated parallel machine scheduling problem with learning effect of operators and deterioration of jobs. International Journal of Environmental Science and Technology.
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Sang-Wook Lee & Hyun-Jung Kim. (2023) Single machine scheduling with maintenance and position-based job eligibility constraints for battery manufacturing. Optimization Letters.
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Jia-Xuan Yan, Na Ren, Hong-Bin Bei, Han Bao & Ji-Bo Wang. (2023) Study on resource allocation scheduling problem with learning factors and group technology. Journal of Industrial and Management Optimization 19:5, pages 3419-3435.
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Si-Han Wang, Dan-Yang Lv & Ji-Bo Wang. (2023) Research on position-dependent weights scheduling with delivery times and truncated sum-of-processing-times-based learning effect. Journal of Industrial and Management Optimization 19:4, pages 2824-2837.
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Ji-Bo Wang, Li-Han Zhang, Zheng-Guo Lv, Dan-Yang Lv, Xin-Na Geng & Xinyu Sun. (2022) Heuristic and exact algorithms for single-machine scheduling problems with general truncated learning effects. Computational and Applied Mathematics 41:8.
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Yenny Alexandra Paredes-Astudillo, Jairo R. Montoya-Torres & Valérie Botta-Genoulaz. (2022) Taxonomy of Scheduling Problems with Learning and Deterioration Effects. Algorithms 15:11, pages 439.
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Yujing Jiang, Zhe Zhang, Xiaoling Song & Yong Yin. (2022) Seru Scheduling Problems with Multiple Due-Windows Assignment and Learning Effect. Journal of Systems Science and Systems Engineering 31:4, pages 480-511.
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Bartłomiej Przybylski. (2021) Parallel-machine scheduling of jobs with mixed job-, machine- and position-dependent processing times. Journal of Combinatorial Optimization 44:1, pages 207-222.
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Gang Xuan, Win-Chin Lin, Shuenn-Ren Cheng, Wei-Lun Shen, Po-An Pan, Chih-Ling Kuo & Chin-Chia Wu. (2022) A Robust Single-Machine Scheduling Problem with Two Job Parameter Scenarios. Mathematics 10:13, pages 2176.
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Hyun-Jung Kim, Eun-Seok Kim & Jun-Ho Lee. (2021) Scheduling of step-improving jobs with an identical improving rate. Journal of the Operational Research Society 73:5, pages 1127-1136.
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Xuyin Wang, Weiguo Liu, Lu Li, Peizhen Zhao & Ruifeng Zhang. (2022) Resource dependent scheduling with truncated learning effects. Mathematical Biosciences and Engineering 19:6, pages 5957-5967.
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Ran Ma, Lu Zhang & Yuzhong Zhang. (2022) A best possible algorithm for an online scheduling problem with position-based learning effect. Journal of Industrial and Management Optimization 18:6, pages 3989.
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Bayi Cheng, Jie Duan, Xiaoxi Zhu & Mi Zhou. (2021) Optimizing batch operations with batch-position-dependent learning effect and aging effect. Computers & Industrial Engineering 157, pages 107325.
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Victor Fernandez-Viagas & Antonio Costa. (2021) Two novel population based algorithms for the single machine scheduling problem with sequence dependent setup times and release times. Swarm and Evolutionary Computation 63, pages 100869.
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Wanlei Wang, Jian-Jun Wang & Ji-Bo Wang. (2021) Solution Algorithms for Single-Machine Group Scheduling with Learning Effect and Convex Resource Allocation. Complexity 2021, pages 1-13.
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Ji-Bo Wang, Bo Cui, Ping Ji & Wei-Wei Liu. (2021) Research on single-machine scheduling with position-dependent weights and past-sequence-dependent delivery times. Journal of Combinatorial Optimization 41:2, pages 290-303.
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Shuang Zhao. (2021) Resource allocation flowshop scheduling with learning effect and slack due window assignment. Journal of Industrial & Management Optimization 17:5, pages 2817.
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Li-Yan Wang, Xue Huang, Wei-Wei Liu, Yu-Bin Wu & Ji-Bo Wang. (2021) Scheduling with position-dependent weights, due-date assignment and past-sequence-dependent setup times. RAIRO - Operations Research 55, pages S2747-S2758.
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Oğuzhan Ahmet Arık. (2020) Population-based Tabu search with evolutionary strategies for permutation flow shop scheduling problems under effects of position-dependent learning and linear deterioration. Soft Computing 25:2, pages 1501-1518.
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Wei-Wei Liu & Chong Jiang. (2020) Flow Shop Resource Allocation Scheduling with Due Date Assignment, Learning Effect and Position-Dependent Weights. Asia-Pacific Journal of Operational Research 37:03, pages 2050014.
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