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IIE Transactions Volume 24, 1992 - Issue 2
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Original Articles

Intelligent Scheduling with Machine Learning Capabilities: The Induction of Scheduling Knowledge

M. J. SHAW Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign, Urbana, IL, 61801
,
S. PARK School of Business University of Wisconsin at Madison, Madison, WI, 53706
&
N. RAMAN Department of Business Administration, University of Illinois at Urbana-Champaign, Champaign, IL, 61820
Pages 156-168 | Received 01 Mar 1990, Published online: 30 May 2007

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Ci Chen, Li-feng Xi, Bing-hai Zhou & Shen-shen Zhou. (2011) A multiple-criteria real-time scheduling approach for multiple-load carriers subject to LIFO loading constraints. International Journal of Production Research 49:16, pages 4787-4806.
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Paolo Priore, José Parreño, Raúl Pino, Alberto Gómez & Javier Puente. (2010) LEARNING-BASED SCHEDULING OF FLEXIBLE MANUFACTURING SYSTEMS USING SUPPORT VECTOR MACHINES. Applied Artificial Intelligence 24:3, pages 194-209.
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Christopher D. Geiger & Reha Uzsoy. (2008) Learning effective dispatching rules for batch processor scheduling. International Journal of Production Research 46:6, pages 1431-1454.
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Michael Masin, Melike Oz Pasaogullari & Sanjay Joshi. (2007) Dynamic scheduling of production-assembly networks in a distributed environment. IIE Transactions 39:4, pages 395-409.
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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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P. Priore, D. de la Fuente & R. Pino. (2001) Learning-based scheduling of flexible manufacturing systems using case-based reasoning. Applied Artificial Intelligence 15:10, pages 949-963.
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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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