This Article Full Text (OnlineFirst PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Scopus Google Scholar Articles by Qiao, F. Articles by Shi, B. Social Bookmarking                         What's this?

A fuzzy Petri net-based reasoning method for rescheduling

CIMS Research Center, Tongji University, Shanghai 201804, P.R. China

^* To whom correspondence should be addressed. E-mail: fqiao{at}mail.tongji.edu.cn.

	Abstract

Because of the high possibility of uncertain production disturbances, an established optimized schedule may not keep its optimality or even feasibility. Production rescheduling, which gives attention to both optimal scheduling and dynamic scheduling, is proposed in this background. One of the most important issues in rescheduling research is the rescheduling strategy that refers to rescheduling start-up decision making and rescheduling methodology adoption. It is ill structured, and involves some fuzzy and random information. In order to solve it, a fuzzy Petri net model for rescheduling (FPN-R) is proposed. Based on it, a fuzzy reasoning approach for rescheduling decision-making is discussed. Finally, a case study from a wafer fabrication plant is used to show the application and feasibility of the proposed FPN-R model and reasoning approach.

First published on October 28, 2009
Transactions of the Institute of Measurement and Control 2009, doi:10.1177/0142331208100100


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?