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International Journal of Management Science and Engineering Management Volume 14, 2019 - Issue 2
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Original Articles

A bi-objective MILP model for blocking hybrid flexible flow shop scheduling problem: robust possibilistic programming approach

Amir MollaeiDepartment of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
,
Mohammad MohammadiDepartment of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, IranCorrespondence[email protected]
&
Bahman NaderiDepartment of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
Pages 137-146 | Received 19 Oct 2017, Accepted 22 Jul 2018, Published online: 23 Oct 2018

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Zhe Zhang, Zhongliang Guan & Xiang Xie. (2022) Innovation development and capability evolution for traditional machinery manufacturing enterprises based on genetic algorithm. Enterprise Information Systems 16:8-9.
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M. Hajibabaei & J. Behnamian. (2021) Flexible job-shop scheduling problem with unrelated parallel machines and resources-dependent processing times: a tabu search algorithm. International Journal of Management Science and Engineering Management 16:4, pages 242-253.
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J. Behnamian. (2021) Multi-agent capacitated scheduling for profit-maximizing using a decomposition-based branch and cut algorithm. International Journal of Management Science and Engineering Management 16:2, pages 73-82.
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Nader Ghaffarinasab, Abdullah Zare Andaryan & Ali Ebadi Torkayesh. (2020) Robust single allocation p-hub median problem under hose and hybrid demand uncertainties: models and algorithms. International Journal of Management Science and Engineering Management 15:3, pages 184-195.
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Mohd Fadzil Faisae Ab Rashid & Muhammad Ammar Nik Mu’tasim. Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm. Journal of Industrial and Production Engineering 0:0, pages 1-18.
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Articles from other publishers (9)

Eyüp Ensar Işık, Seyda Topaloglu Yildiz & Özge Şatır Akpunar. (2023) Constraint programming models for the hybrid flow shop scheduling problem and its extensions. Soft Computing 27:24, pages 18623-18650.
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Janis S. Neufeld, Sven Schulz & Udo Buscher. (2023) A systematic review of multi-objective hybrid flow shop scheduling. European Journal of Operational Research 309:1, pages 1-23.
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Lingxin Wang, Rosa Abbou & Catherine Da Cunha. (2023) A Multi-Stage Model for Sustainable Scheduling in Hybrid Flexible Flow Shop. A Multi-Stage Model for Sustainable Scheduling in Hybrid Flexible Flow Shop.
Julián Alberto Espejo-Díaz, Edgar Alfonso-Lizarazo & Jairo R. Montoya-Torres. (2023) A heuristic approach for scheduling advanced air mobility aircraft at vertiports. Applied Mathematical Modelling.
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Iyad Abu Doush, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Zaid Abdi Alkareem Alyasseri, Sharif Naser Makhadmeh & Mohammed El-Abd. (2022) Island neighboring heuristics harmony search algorithm for flow shop scheduling with blocking. Swarm and Evolutionary Computation 74, pages 101127.
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Meysam Kazemi Esfeh, Amir Abbas Shojaie, Hasan Javanshir & Kaveh Khalili-Damghani. (2022) Flexible Flow Shop Scheduling Problem with Reliable Transporters and Intermediate Limited Buffers via considering Learning Effects and Budget Constraint. Complexity 2022, pages 1-19.
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Xin-Rui Tao, Quan-Ke Pan & Liang Gao. (2022) An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem. Computers & Industrial Engineering 169, pages 108200.
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Xin-Rui Tao, Bao-Jiang Wu & Quan-Ke Pan. (2022) Discrete Artificial Bee Colony Algorithm for the Distributed Resource Constrained Hybrid Flowshop Problem. Discrete Artificial Bee Colony Algorithm for the Distributed Resource Constrained Hybrid Flowshop Problem.
Azadeh Dogani, Arash Dourandish, Mohammad Ghorbani & Mohammad Reza Shahbazbegian. (2020) A Hybrid Meta-Heuristic for a Bi-Objective Stochastic Optimization of Urban Water Supply System. IEEE Access 8, pages 135829-135843.
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