Scheduling of multi-die operations with multiple maintenance tasks

Tung Sun Chan; C. S. Wong; B. Niu

doi:10.1109/IEOM.2015.7093708

Scheduling of multi-die operations with multiple maintenance tasks

Tung Sun Chan, C. S. Wong, B. Niu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding
Publisher	IEEE
ISBN (Electronic)	9781479960651
DOIs	https://doi.org/10.1109/IEOM.2015.7093708
Publication status	Published - 1 Jan 2015
Event	5th International Conference on Industrial Engineering and Operations Management, IEOM 2015 - Hyatt Regency Dubai, Dubai, United Arab Emirates Duration: 3 Mar 2015 → 5 Mar 2015

Conference

Conference	5th International Conference on Industrial Engineering and Operations Management, IEOM 2015
Country/Territory	United Arab Emirates
City	Dubai
Period	3/03/15 → 5/03/15

Keywords

die maintenance
genetic algorithm
joint scheduling
production-maintenance scheduling

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Management Science and Operations Research

More information

10.1109/IEOM.2015.7093708

Cite this

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title = "Scheduling of multi-die operations with multiple maintenance tasks",

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.",

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author = "Chan, {Tung Sun} and Wong, {C. S.} and B. Niu",

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Chan, TS, Wong, CS & Niu, B 2015, Scheduling of multi-die operations with multiple maintenance tasks. in IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding., 7093708, IEEE, 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, Dubai, United Arab Emirates, 3/03/15. https://doi.org/10.1109/IEOM.2015.7093708

Scheduling of multi-die operations with multiple maintenance tasks. / Chan, Tung Sun; Wong, C. S.; Niu, B.
IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding. IEEE, 2015. 7093708.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - 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.

AB - 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.

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PB - IEEE

T2 - 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015

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ER -

Scheduling of multi-die operations with multiple maintenance tasks

Abstract

Conference

Keywords

ASJC Scopus subject areas

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