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International Journal of Production Research Volume 54, 2016 - Issue 22
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Original Articles

Designing a cellular manufacturing system considering decision style, skill and job security by NSGA-II and response surface methodology

Ali AzadehSchool of Industrial and Systems Engineering, College of Engineering and Center of Excellence for Intelligent Based Experimental Mechanic, University of Tehran, Tehran, IranCorrespondence[email protected]
,
Shima PashapourSchool of Industrial and Systems Engineering, College of Engineering and Center of Excellence for Intelligent Based Experimental Mechanic, University of Tehran, Tehran, Iran
&
Saeed Abdolhossein ZadehSchool of Industrial and Systems Engineering, College of Engineering and Center of Excellence for Intelligent Based Experimental Mechanic, University of Tehran, Tehran, Iran
Pages 6825-6847 | Received 12 Jul 2015, Accepted 08 Apr 2016, Published online: 02 May 2016

Citations (12)

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Read on this site (3)

Roohollah YounesSinaki, Azadeh Sadeghi, Hadi Mosadegh, Najat Almasarwah & Gursel Suer. (2023) Cellular manufacturing design 1996–2021: a review and introduction to applications of Industry 4.0. International Journal of Production Research 61:16, pages 5585-5636.
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Xiaoyue Li, Yinfei Yang, Liang Li, Yaowen Shi, Guolong Zhao, Ning He, Ning Qian & Zhuang Mu. (2021) An approach for optimising the fixturing configuration in flexible machining fixtures. International Journal of Production Research 59:20, pages 6223-6240.
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Reza Kia. (2020) A genetic algorithm to integrate a comprehensive dynamic cellular manufacturing system with aggregate planning decisions. International Journal of Management Science and Engineering Management 15:2, pages 138-154.
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Articles from other publishers (9)

Emine Bozoklar & Ebru Yılmaz. (2023) Designing Sustainable Flexible Manufacturing Cells with Multi-Objective Optimization Models. Applied Sciences 14:1, pages 203.
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Haiping Ma, Yajing Zhang, Shengyi Sun, Ting Liu & Yu Shan. (2023) A comprehensive survey on NSGA-II for multi-objective optimization and applications. Artificial Intelligence Review 56:12, pages 15217-15270.
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Xiao Wu, Zhiyong Chen, Tao Liu, Haisheng Song, Zhiwei Wang & Wenku Shi. (2023) Improved NSGA-II and its application in BIW structure optimization. Advances in Mechanical Engineering 15:2, pages 168781322211505.
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Mohammad Reza Bazargan-Lari, Sharareh Taghipour, Arash Zaretalab & Mani Sharifi. (2022) Production scheduling optimization for parallel machines subject to physical distancing due to COVID-19 pandemic. Operations Management Research 15:1-2, pages 503-527.
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Qi Tang & Yiran Wang. (2022) Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization. IEEE Access 10, pages 74747-74764.
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Nadine Schiebold. 2022. Computational Logistics. Computational Logistics 457 471 .
Shima Shafiee-Gol, Reza Kia, Mohammad Kazemi, Reza Tavakkoli-Moghaddam & Sobhan Mostafayi Darmian. (2020) A mathematical model to design dynamic cellular manufacturing systems in multiple plants with production planning and location–allocation decisions. Soft Computing 25:5, pages 3931-3954.
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Shanu Verma, Millie Pant & Vaclav Snasel. (2021) A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems. IEEE Access 9, pages 57757-57791.
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Gürsel Süer, Najat Almasarwah, Omar Alhawari & Casey Davis. (2020) Multi-objective scheduling in labor-intensive manufacturing systems. Journal of Manufacturing Systems 57, pages 469-483.
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