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International Journal of Production Research Volume 50, 2012 - Issue 7
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Original Articles

Integrating analytical hierarchy process to genetic algorithm for re-entrant flow shop scheduling problem

Danping Lin Division of Systems and Engineering Management, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
,
C.K.M. Lee Division of Systems and Engineering Management, School of Mechanical and Aerospace Engineering, Nanyang Technological University, SingaporeCorrespondence[email protected]
&
Zhang Wu Division of Systems and Engineering Management, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Pages 1813-1824 | Received 26 Oct 2010, Accepted 31 Jan 2011, Published online: 08 Jul 2011

Citations (14)

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Read on this site (2)

Chettha Chamnanlor, Kanchana Sethanan, Chen-Fu Chien & Mitsuo Gen. (2014) Re-entrant flow shop scheduling problem with time windows using hybrid genetic algorithm based on auto-tuning strategy. International Journal of Production Research 52:9, pages 2612-2629.
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Shaokuan Chen, Tinkin Ho & Baohua Mao. (2013) Maintenance schedule optimisation for a railway power supply system. International Journal of Production Research 51:16, pages 4896-4910.
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Articles from other publishers (12)

C.K.M. Lee, Shuzhu Zhang, Y.P. Tsang & Jiage Huo. 2024. Digital Manufacturing. Digital Manufacturing 247 277 .
Sina Aghakhani & Mohammad Sadra Rajabi. (2022) A New Hybrid Multi-Objective Scheduling Model for Hierarchical Hub and Flexible Flow Shop Problems. AppliedMath 2:4, pages 721-737.
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Nurhasyimah Abd Aziz, Nur Afiqah Amalin Adnan, Dzuraidah Abd Wahab & Abdul Hadi Azman. (2021) Component design optimisation based on artificial intelligence in support of additive manufacturing repair and restoration: Current status and future outlook for remanufacturing. Journal of Cleaner Production 296, pages 126401.
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Luis Fernando Villanueva-Jimenez, Jose Antonio Vazquez-Lopez, Javier Yanez-Mendiola, Valentin Calzada-Ledesma & Juan De Anda-Suarez. (2021) Decision-Making System Based on a Fuzzy Hierarchical Analysis Process and an Artificial Neural Network for Flow Shop Machine Scheduling Model Under Uncertainty. IEEE Access 9, pages 104059-104069.
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Kaifeng Geng, Chunming Ye, Lei Cao & Li Liu. (2019) Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm. Mathematical Problems in Engineering 2019, pages 1-18.
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Wen Li, Yicheng Ye, Nanyan Hu, Xianhua Wang & Qihu Wang. (2019) Real-Time Warning and Risk Assessment of Tailings Dam Disaster Status Based on Dynamic Hierarchy-Grey Relation Analysis. Complexity 2019, pages 1-14.
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Murat İnce, Tuncay Yiğit & Ali Hakan Işık. (2017) A hybrid AHP-GA method for metadata-based learning object evaluation. Neural Computing and Applications 31:S1, pages 671-681.
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Hung-Kai Wang, Chen-Fu Chien & Che-Wei Chou. (2017) An empirical study of bio manufacturing for the scheduling of hepatitis in vitro diagnostic device with constrained process time window. Computers & Industrial Engineering 114, pages 31-44.
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Chettha Chamnanlor, Kanchana Sethanan, Mitsuo Gen & Chen-Fu Chien. (2015) Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints. Journal of Intelligent Manufacturing 28:8, pages 1915-1931.
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Yi-Kuei Lin, Ding-Hsiang Huang & Louis Cheng-Lu Yeng. (2016) Reliability Evaluation of a Hybrid Flow-Shop With Stochastic Capacity Within a Time Constraint. IEEE Transactions on Reliability 65:2, pages 867-877.
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Richard Hinze & Dirk Sackmann. 2016. Operations Research Proceedings 2014. Operations Research Proceedings 2014 221 226 .
Mitsuo Gen, Wenqiang Zhang & Lin Lin. 2015. Proceedings of the Ninth International Conference on Management Science and Engineering Management. Proceedings of the Ninth International Conference on Management Science and Engineering Management 27 54 .

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