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HKIE Transactions Volume 21, 2014 - Issue 3
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Transactions Papers

Optimising performance of low-voltage cables’ process with three quality responses using fuzzy goal programming

Abbas Al-RefaieDepartment of Industrial Engineering, University of Jordan, Amman11942, JordanCorrespondence[email protected]
Pages 148-157 | Received 01 Nov 2013, Accepted 07 Jul 2014, Published online: 05 Sep 2014

Citations (7)

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Abbas Al-Refaie, Ghaith Bani Domi & Rasha Abdullah. (2019) A fuzzy goal programming-regression approach to optimize process performance of multiple responses under uncertainty. International Journal of Management Science and Engineering Management 14:1, pages 20-32.
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Articles from other publishers (6)

Abbas Al-Refaie & Ahmad Musallam. (2018) Using mixed goal programming to optimize performance of extrusion process for multiple responses of irrigation pipes. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 233:2, pages 412-424.
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Abbas Al-Refaie, Yaser Abu Ghazaleh & Ming-Hsien Li. (2017) Optimizing performance of oil filling processes using fuzzy goal programming. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 232:3, pages 380-390.
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Abbas Al-Refaie, Mays Judeh & Ming-Hsien Li. (2017) Optimal fuzzy scheduling and sequencing of multiple-period operating room. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 32:1, pages 108-121.
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Abbas Al-Refaie. (2015) Optimal performance of plastic pipes’ extrusion process using Min-Max model in fuzzy goal programming. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 231:4, pages 888-898.
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Abbas Al-Refaie, Toly Chen, Raed Al-Athamneh & Hsin-Chieh Wu. (2016) Fuzzy neural network approach to optimizing process performance by using multiple responses. Journal of Ambient Intelligence and Humanized Computing 7:6, pages 801-816.
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Abbas Al-Refaie. (2015) Optimizing Multiple Quality Responses in the Taguchi Method Using Fuzzy Goal Programming: Modeling and Applications. International Journal of Intelligent Systems 30:6, pages 651-675.
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