A Decison-Making Approach for Job Shop Scheduling with Job Depending Degradation and Predictive Maintenance-Reference-Cited by-同舟云学术

A Decison-Making Approach for Job Shop Scheduling with Job Depending Degradation and Predictive Maintenance

Published:2016 Issue:12 Volume:49 Page:1490-1495
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Fitouri C.,Fnaiech N.,Varnier C.,Fnaiech F.,Zerhouni N.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

1. The shifting bottleneck procedure for job shop scheduling;Adams;Management Science,1988

2. Using dispatching rules for job shop scheduling with due date-based objectives;Chiang;International journal of production research,2007

3. An approach to predictive-reactive scheduling of parallel machines subject to disruptions;Duenas;Annals of Operations Research,2008

4. Tabu search, part ii;Glover;ORSA Journal on Computing,1990

5. Gouriveau, R. and Medjaher, K. (2011). Maintenance Modelling and Applications. Chapter 2. Prognostics. Part: Industrial Prognostic - An Overview, ISBN : 978-82-515-0316-7.

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