Managing risk in production scheduling under uncertain disruption

The job scheduling problem (JSP) is considered as one of the most complex combinatorial optimization problems. JSP is not an independent task, but is rather a part of a company business case. In this paper, we have studied JSPs under sudden machine breakdown scenarios that introduce a risk of not co...

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Main Authors:	Sarker, Ruhul, Essam, Daryl, Kamrul Hasan, S.M., Karim, A.N. Mustafizul
Format:	Article
Language:	English
Published:	Cambridge University Press 2015
Subjects:	TS155 Production management
Online Access:	http://irep.iium.edu.my/48683/ http://irep.iium.edu.my/48683/ http://irep.iium.edu.my/48683/ http://irep.iium.edu.my/48683/1/%2335_AIEDAM-paper.pdf

id	iium-48683
recordtype	eprints
spelling	iium-486832017-10-15T17:46:15Z http://irep.iium.edu.my/48683/ Managing risk in production scheduling under uncertain disruption Sarker, Ruhul Essam, Daryl Kamrul Hasan, S.M. Karim, A.N. Mustafizul TS155 Production management The job scheduling problem (JSP) is considered as one of the most complex combinatorial optimization problems. JSP is not an independent task, but is rather a part of a company business case. In this paper, we have studied JSPs under sudden machine breakdown scenarios that introduce a risk of not completing the jobs on time. We have first solved JSPs using an improved memetic algorithm and extended the algorithm to deal with the disruption situations, and then developed a simulation model to analyze the risk of using a job order and delivery scenario. This paper deals with job scheduling under ideal conditions and rescheduling under machine breakdown, and provides a risk analysis for a production business case. The extended algorithm provides better understanding and results than existing algorithms, the rescheduling shows a good way of recovering from disruptions, and the risk analysis shows an effective way of maximizing return under such situations. Cambridge University Press 2015-06-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/48683/1/%2335_AIEDAM-paper.pdf Sarker, Ruhul and Essam, Daryl and Kamrul Hasan, S.M. and Karim, A.N. Mustafizul (2015) Managing risk in production scheduling under uncertain disruption. Articial Intelligence for Engineering Design, Analysis and Manufacturing. 1 -11. ISSN 0890-0604 http://journals.cambridge.org/abstract_S0890060415000323 doi:10.1017/S0890060415000323
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TS155 Production management
spellingShingle	TS155 Production management Sarker, Ruhul Essam, Daryl Kamrul Hasan, S.M. Karim, A.N. Mustafizul Managing risk in production scheduling under uncertain disruption
description	The job scheduling problem (JSP) is considered as one of the most complex combinatorial optimization problems. JSP is not an independent task, but is rather a part of a company business case. In this paper, we have studied JSPs under sudden machine breakdown scenarios that introduce a risk of not completing the jobs on time. We have first solved JSPs using an improved memetic algorithm and extended the algorithm to deal with the disruption situations, and then developed a simulation model to analyze the risk of using a job order and delivery scenario. This paper deals with job scheduling under ideal conditions and rescheduling under machine breakdown, and provides a risk analysis for a production business case. The extended algorithm provides better understanding and results than existing algorithms, the rescheduling shows a good way of recovering from disruptions, and the risk analysis shows an effective way of maximizing return under such situations.
format	Article
author	Sarker, Ruhul Essam, Daryl Kamrul Hasan, S.M. Karim, A.N. Mustafizul
author_facet	Sarker, Ruhul Essam, Daryl Kamrul Hasan, S.M. Karim, A.N. Mustafizul
author_sort	Sarker, Ruhul
title	Managing risk in production scheduling under uncertain disruption
title_short	Managing risk in production scheduling under uncertain disruption
title_full	Managing risk in production scheduling under uncertain disruption
title_fullStr	Managing risk in production scheduling under uncertain disruption
title_full_unstemmed	Managing risk in production scheduling under uncertain disruption
title_sort	managing risk in production scheduling under uncertain disruption
publisher	Cambridge University Press
publishDate	2015
url	http://irep.iium.edu.my/48683/ http://irep.iium.edu.my/48683/ http://irep.iium.edu.my/48683/ http://irep.iium.edu.my/48683/1/%2335_AIEDAM-paper.pdf
first_indexed	2023-09-18T21:09:00Z
last_indexed	2023-09-18T21:09:00Z
_version_	1777411125971779584

Managing risk in production scheduling under uncertain disruption

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