Please use this identifier to cite or link to this item:
Title: Scheduling of multi-die operations with multiple maintenance tasks
Authors: Chan, FTS 
Wong, CS
Niu, B
Keywords: Die maintenance
Genetic algorithm
Joint scheduling
Production-maintenance scheduling
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding, 2015, 7093708 (CD-ROM) How to cite?
Abstract: Production-Maintenance Scheduling (PMS) is to allocate resources over time to perform production and maintenance activities, aimed to improve productivity and reliability of production systems. This study extended the PMS model proposed in Wong et al. [1-3] and developed a novel methodology to schedule multi-die operations and the related maintenance tasks for the dies. In this paper, a new scheduling problem considered multi-die operations and die maintenance was identified and modeled. A Joint Scheduling (JS) methodology was developed and implemented in a genetic algorithm approach to deal with the new problem. Numerical examples showed that the proposed JS methodology could obtain shorter makespan comparing with the traditional Maximum Age (MA) methodology.
Description: 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, 3-5 March 2015
ISBN: 9781479960668
DOI: 10.1109/IEOM.2015.7093708
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 14, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.