67
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Transferring progress control policies in scheduling problems for a class of repetitive discrete event systems

&
Pages 421-431 | Received 23 Oct 2008, Accepted 12 Jul 2009, Published online: 09 Dec 2009
 

Abstract

This research implements a method, based on Dioid algebra, of transferring progress control policies for a class of repetitive discrete event systems. Commonly used policies include one that requires precedence constraints with respect to processing order relations, and another in which relative processing start and completion times for all facilities are specified. In conventional methods, however, the framework for handling the state equation differs, depending on which policy is used. These policies are thus distinct, and cannot as yet be treated in a unified manner. This research proposes a method of transferring the transition matrices by using common parameter matrices and vectors, and implements a method of transferring the progress control policy per job.

Acknowledgements

H. Goto was supported by research grants from Takahashi Industrial and Economic Research Foundation, The Mazda Foundation and the JSPS Grants-in-Aid for Scientific Research No. 20710114. H. Takahashi was partially supported by the Uchida Energy Science Promotion Foundation, Sasagawa Scientific Research Grand and the JSPS Grant-in-Aid for Scientific Research No. 20540260.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.