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Original Articles

Dynamic job shop scheduling for missed due date performance

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Pages 4047-4062 | Received 14 Aug 2007, Accepted 26 Dec 2007, Published online: 15 May 2009

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Read on this site (8)

Guodong Huang, Jie Chen, Xiuli Wang, Yiqun Shi & Houping Tian. (2017) From loop structure to policy-making: a CONWIP design framework for hybrid flow shop control in one-of-a-kind production environment. International Journal of Production Research 55:12, pages 3374-3391.
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Ming Li, Li Yao, Jin Yang & Zheng Wang. (2015) Due date assignment and dynamic scheduling of one-of-a-kind assembly production with uncertain processing time. International Journal of Computer Integrated Manufacturing 28:6, pages 616-627.
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Michael Leyer & Jürgen Moormann. (2015) Comparing concepts for shop floor control of information-processing services in a job shop setting: a case from the financial services sector. International Journal of Production Research 53:4, pages 1168-1179.
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Umut Tosun, Tansel Dokeroglu & Ahmet Cosar. (2013) A robust Island Parallel Genetic Algorithm for the Quadratic Assignment Problem. International Journal of Production Research 51:14, pages 4117-4133.
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Liping Zhang, Liang Gao & Xinyu Li. (2013) A hybrid genetic algorithm and tabu search for a multi-objective dynamic job shop scheduling problem. International Journal of Production Research 51:12, pages 3516-3531.
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Ying Yan & Zheng Wang. (2012) A two-layer dynamic scheduling method for minimising the earliness and tardiness of a re-entrant production line. International Journal of Production Research 50:2, pages 499-515.
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A. Azadeh, A. Negahban & M. Moghaddam. (2012) A hybrid computer simulation-artificial neural network algorithm for optimisation of dispatching rule selection in stochastic job shop scheduling problems. International Journal of Production Research 50:2, pages 551-566.
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H.L. Lu, George Q. Huang & H.D. Yang. (2011) Integrating order review/release and dispatching rules for assembly job shop scheduling using a simulation approach. International Journal of Production Research 49:3, pages 647-669.
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Articles from other publishers (9)

Umut Tosun. (2022) A new tool for automated transformation of Quadratic Assignment Problem instances to Quadratic Unconstrained Binary Optimisation models. Expert Systems with Applications 201, pages 116953.
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Shashi K. Shahi, Mohamed Dia, Peizhi Yan & Salimur Choudhury. (2021) Developing and training artificial neural networks using bootstrap data envelopment analysis for best performance modeling of sawmills in Ontario. Journal of Modelling in Management 17:2, pages 788-811.
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Paulo Modesti, Jhonatan Kobylarz Ribeiro & Milton Borsato. (2022) Artificial intelligence-based method for forecasting flowtime in job shops. VINE Journal of Information and Knowledge Management Systems.
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Xinyu Li & Liang GaoXinyu Li & Liang Gao. 2020. Effective Methods for Integrated Process Planning and Scheduling. Effective Methods for Integrated Process Planning and Scheduling 377 403 .
Cenk ŞAHİN. (2016) Dinamik Teslim Zamanı Atama Problemi için Holonik Sistem Tasarımı. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 31:1, pages 149-158.
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He-Boong Kwon, Jooh Lee & James Jungbae Roh. (2016) Best performance modeling using complementary DEA-ANN approach. Benchmarking: An International Journal 23:3, pages 704-721.
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Ashkan Negahban & Jeffrey S. Smith. (2014) Simulation for manufacturing system design and operation: Literature review and analysis. Journal of Manufacturing Systems 33:2, pages 241-261.
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Rui Zhang & Cheng Wu. (2012) A hybrid local search algorithm for scheduling real-world job shops with batch-wise pending due dates. Engineering Applications of Artificial Intelligence 25:2, pages 209-221.
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O.A. Joseph & R. Sridharan. (2011) Analysis of dynamic due-date assignment models in a flexible manufacturing system. Journal of Manufacturing Systems 30:1, pages 28-40.
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