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International Journal of Production Research Volume 54, 2016 - Issue 12
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Original Articles

A heuristic algorithm for master production scheduling problem with controllable processing times and scenario-based demands

Fateme AkhoondiFaculty of Engineering, Department of Industrial Engineering, Yazd University, Yazd, Iran
&
M.M. LotfiFaculty of Engineering, Department of Industrial Engineering, Yazd University, Yazd, IranCorrespondence[email protected]
Pages 3659-3676 | Received 23 Feb 2014, Accepted 14 Nov 2015, Published online: 05 Jan 2016

Citations (14)

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Read on this site (3)

Ching-Chin Chern, Chun-Ying Leng & Bo Hsiao. (2023) A heuristic master planning algorithm that includes fairness and flexibility. International Journal of Management Science and Engineering Management 0:0, pages 1-18.
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Yujing Jiang, Zhe Zhang, Xiaoling Song & Yong Yin. (2022) Scheduling controllable processing time jobs in seru production system with resource allocation. Journal of the Operational Research Society 73:11, pages 2551-2571.
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Scott A. Moses & Wassama Sangplung. (2017) Resource planning for just-in-time make-to-order environments: A scalable methodology using tabu search. Cogent Engineering 4:1.
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Articles from other publishers (11)

Hongyu He, Yanzhi Zhao, Xiaojun Ma, Zheng-Guo Lv & Ji-Bo Wang. (2023) Branch-and-Bound and Heuristic Algorithms for Group Scheduling with Due-Date Assignment and Resource Allocation. Mathematics 11:23, pages 4745.
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Liang Wang, Zhiwen Yu, Kaishun Wu, Dingqi Yang, En Wang, Tian Wang, Yihan Mei & Bin Guo. (2023) Towards Robust Task Assignment in Mobile Crowdsensing Systems. IEEE Transactions on Mobile Computing 22:7, pages 4297-4313.
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Estefania Tobon-Valencia, Samir Lamouri, Robert Pellerin & Alexandre Moeuf. (2022) Modeling of the Master Production Schedule for the Digital Transition of Manufacturing SMEs in the Context of Industry 4.0. Sustainability 14:19, pages 12562.
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Habib Zare, Mahyar Kamali Saraji, Madjid Tavana, Dalia Streimikiene & Fausto Cavallaro. (2021) An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization. Sustainability 13:22, pages 12728.
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Huseyin Tunc. (2021) A mixed integer programming formulation for the stochastic lot sizing problem with controllable processing times. Computers & Operations Research 132, pages 105302.
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Christian Scheller, Kerstin Schmidt & Thomas Stefan Spengler. (2020) Decentralized master production and recycling scheduling of lithium-ion batteries: a techno-economic optimization model. Journal of Business Economics 91:2, pages 253-282.
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Christian Scheller, Steffen Blömeke, Mathias Nippraschk, Kerstin Schmidt, Mark Mennenga, Thomas S. Spengler, Christoph Herrmann & Daniel Goldmann. (2021) Coordinated Planning in Closed-loop Supply Chains and its Implications on the Production and Recycling of Lithium-ion Batteries. Procedia CIRP 98, pages 464-469.
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Yu Yang, Min Huang, Zhen Yu Wang & Qi Bing Zhu. (2020) Robust scheduling based on extreme learning machine for bi-objective flexible job-shop problems with machine breakdowns. Expert Systems with Applications 158, pages 113545.
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Estefania Tobon Valencia, Seyed-Esmaeil Moussavi, Samir Lamouri, Robert Pellerin & Alexandre Moeuf. (2019) An optimization approach for MPS in a MTO multiproduct assembly line system. An optimization approach for MPS in a MTO multiproduct assembly line system.
Mehdi Foumani & Kate Smith-Miles. (2019) The impact of various carbon reduction policies on green flowshop scheduling. Applied Energy 249, pages 300-315.
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Leandro L. Lorente-Leyva, Jefferson R. Murillo-Valle, Yakcleem Montero-Santos, Israel D. Herrera-Granda, Erick P. Herrera-Granda, Paul D. Rosero-Montalvo, Diego H. Peluffo-Ordóñez & Xiomara P. Blanco-Valencia. 2019. Hybrid Artificial Intelligent Systems. Hybrid Artificial Intelligent Systems 674 685 .

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