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International Journal of Production Research Volume 34, 1996 - Issue 8
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Original Articles

An intelligent controller for manufacturing cells

Y.-L. SUN School of Industrial Engineering, Purdue University, West Lafayette, IN, 47907-1287, USA
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Y. YIH School of Industrial Engineering, Purdue University, West Lafayette, IN, 47907-1287, USAView further author information
Pages 2353-2373 | Received 01 Aug 1995, Published online: 24 Oct 2007

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Jens Heger, Jürgen Branke, Torsten Hildebrandt & Bernd Scholz-Reiter. (2016) Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times. International Journal of Production Research 54:22, pages 6812-6824.
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V.R. Ghezavati, S.J. Sadjadi & M. Dehghan Nayeri. (2011) Integrating Strategic and Tactical Decisions to Robust Designing of Cellular Manufacturing under Uncertainty: Fixed Suppliers in Supply Chain. International Journal of Computational Intelligence Systems 4:5, pages 837-854.
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D.-C. Li, C. Wu & F. M. Chang. (2006) Using data continualization and expansion to improve small data set learning accuracy for early flexible manufacturing system (FMS) scheduling. International Journal of Production Research 44:21, pages 4491-4509.
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B. Shnits, J. Rubinovitz & D. Sinreich. (2004) Multicriteria dynamic scheduling methodology for controlling a flexible manufacturing system. International Journal of Production Research 42:17, pages 3457-3472.
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Y.L. SUN & Y. YIH. (2004) A LEARNING-BASED REAL-TIME CONTROLLER FOR DYNAMIC MANUFACTURING CELLS. Journal of the Chinese Institute of Industrial Engineers 21:3, pages 251-262.
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YOHANAN ARZI & LIOR IAROSLAVITZ. (1999) Neural network-based adaptive production control system for a flexible manufacturing cell under a random environment. IIE Transactions 31:3, pages 217-230.
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Articles from other publishers (21)

Marko Đurasević & Domagoj Jakobović. (2022) Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics. Journal of Computational Science 61, pages 101649.
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Hua-Li Fan, He-Gen Xiong, Guo-Zhang Jiang & Gong-Fa Li. (2015) Survey of the selection and evaluation for dispatching rules in dynamic job shop scheduling problem. Survey of the selection and evaluation for dispatching rules in dynamic job shop scheduling problem.
Jens Heger, Torsten Hildebrandt & Bernd Scholz-Reiter. (2013) Dispatching rule selection with Gaussian processes. Central European Journal of Operations Research 23:1, pages 235-249.
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Vahidreza Ghezavati, Mohammad Saidi-Mehrabad, Mohammad Saeed Jabal-Ameli, Ahmad Makui & Seyed Jafar Sadjadi. 2013. Industrial Engineering. Industrial Engineering 539 558 .
Jens Heger, Torsten Hildebrandt & Bernd Scholz-Reiter. 2013. Robust Manufacturing Control. Robust Manufacturing Control 91 103 .
Vahidreza Ghezavati, Mohammad Saidi-Mehrabad, Mohammad Saeed Jabal-Ameli, Ahmad Makui & Seyed Jafar Sadjadi. 2012. Operations Management Research and Cellular Manufacturing Systems. Operations Management Research and Cellular Manufacturing Systems 298 316 .
Durgesh Sharma, Vijai Singh & Chitra Sharma. 2012. Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 931 940 .
V R Ghezavati, M Saidi-Mehrabad, M S Jabal-Ameli & A Makui. (2011) Optimizing expected holding cost in cellular manufacturing systems with stochastic extensions. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 225:6, pages 943-958.
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Bernd Scholz-Reiter, Jens Heger & Torsten Hildebrandt. (2010) Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques. Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques.
Vahidreza Ghezavati & Mohammad Saidi-Mehrabad. (2009) Designing integrated cellular manufacturing systems with scheduling considering stochastic processing time. The International Journal of Advanced Manufacturing Technology 48:5-8, pages 701-717.
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Wiem Mouelhi-Chibani & Henri Pierreval. (2010) Training a neural network to select dispatching rules in real time. Computers & Industrial Engineering 58:2, pages 249-256.
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Min LIU. (2009) A Survey of Data-based Production Scheduling Methods. Acta Automatica Sinica 35:6, pages 785-806.
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Der-Chang Li & Chun-Wu Yeh. (2008) A non-parametric learning algorithm for small manufacturing data sets. Expert Systems with Applications 34:1, pages 391-398.
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Boris Shnits & David Sinreich. (2006) Controlling flexible manufacturing systems based on a dynamic selection of the appropriate operational criteria and scheduling policy. International Journal of Flexible Manufacturing Systems 18:1, pages 1-27.
Crossref
Yeou-Ren Shiue & Ruey-Shiang Guh. (2006) Learning-based multi-pass adaptive scheduling for a dynamic manufacturing cell environment. Robotics and Computer-Integrated Manufacturing 22:3, pages 203-216.
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Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai & Fengming M. Chang. (2006) Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge. Computers & Operations Research 33:6, pages 1857-1869.
Crossref
Yeou-Ren Shiue & Ruey-Shiang Guh. (2005) The optimization of attribute selection in decision tree-based production control systems. The International Journal of Advanced Manufacturing Technology 28:7-8, pages 737-746.
Crossref
Der-Chiang Li, Chihsen Wu & Fengming M. Chang. (2005) Using data-fuzzification technology in small data set learning to improve FMS scheduling accuracy. The International Journal of Advanced Manufacturing Technology 27:3-4, pages 321-328.
Crossref
C. Kwak & Y. Yih. (2004) Data-Mining Approach to Production Control in the Computer-Integrated Testing Cell. IEEE Transactions on Robotics and Automation 20:1, pages 107-116.
Crossref
Ki-Tae Kim, Seong-Yong Jang, Byung-Hoon Yoo & Jin-Woo Park. (2001) An on-line production scheduler using neural network and simulator based on manufacturing system states. An on-line production scheduler using neural network and simulator based on manufacturing system states.
I. A. Oraifige, A. Zakeri, N. E. Gough, G. M. Dimirovski & O. Iliev. 1997. Proceedings of the Thirty-Second International Matador Conference. Proceedings of the Thirty-Second International Matador Conference 117 122 .

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