Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks

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dc.contributor.author	Yildirim, Mehmet Bayram
dc.contributor.author	Cakar, Tarik
dc.contributor.author	Doguc, Ufuk
dc.contributor.author	Meza, Jose L. Ceciliano
dc.date.accessioned	2011-03-22T20:23:07Z
dc.date.available	2011-03-22T20:23:07Z
dc.date.issued	2006-05-11
dc.identifier.issn	0360-8352
dc.identifier.uri	http://hdl.handle.net/10057/3443
dc.identifier.uri	http://dx.doi.org/10.1016/j.cie.2006.02.002
dc.description	This is the author's version of the work. It is posted here by permission of Elsevier for personal use, not for redistribution. Accepted for publications to Computers and Industrial Engineering,Vol. 50, No. 1, May 2006 doi:10.1016/j.cie.2006.02.002
dc.description.abstract	When there is a production system with excess capacity, i.e. more capacity than the demand for the foreseeable future, upper management might consider utilizing only a portion of the available capacity by decreasing the number of workers or halting production on some of the machines/production lines, etc. while preserving the flexibility of the production system to satisfy demand spikes. To achieve this flexibility, upper management might be willing to attain some pre-determined/desired performance values in a production system having identical parallel machines in each work center. In this study, we propose a framework that utilizes parallel neural networks to make decisions on the availability of resources, due date assignments for incoming orders, and dispatching rules for scheduling. This framework is applied to a flexible manufacturing system with work centers having parallel identical machines. The artificial neural networks were able to satisfactorily capture the underlying relationship between the design and control parameters of a manufacturing system and the resulting performance targets.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Elsevier	en_US
dc.relation.ispartofseries	Computers & Industrial Engineering 50 (2006) 185–194;
dc.subject	Artificial neural networks	en_US
dc.subject	Priority rules	en_US
dc.subject	Due date assignment	en_US
dc.subject	Flexible manufacturing system	en_US
dc.subject	Inverse scheduling	en_US
dc.title	Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks	en_US
dc.type	Article	en_US