Development of a production inventory model with uncertainty and reliability considerations

Paul, SK; Azeem, A; Sarker, R; Essam, D

Development of a production inventory model with uncertainty and reliability considerations

Paul, SK

Azeem, A Sarker, R Essam, D

Permalink

Publication Type:: Journal Article
Citation:: Optimization and Engineering, 2014, 15 (3), pp. 697 - 720
Issue Date:: 2014-01-01

Closed Access

	Filename	Description	Size
	10.1007%2Fs11081-013-9218-6.pdf	Published Version	829.26 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Paul, SK https://orcid.org/0000-0001-9523-179X	en_US
dc.contributor.author	Azeem, A	en_US
dc.contributor.author	Sarker, R	en_US
dc.contributor.author	Essam, D	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Optimization and Engineering, 2014, 15 (3), pp. 697 - 720	en_US
dc.identifier.issn	1389-4420	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118802
dc.description.abstract	© 2013, Springer Science+Business Media New York. This paper addresses a problem of an imperfect production system under fuzzy demand and inventory holding cost. Production process reliability is considered because of the imperfect production process. In this problem, reliability of the system in regards to producing defective and non-defective items is considered as a decision variable. The objective is to maximize the graded mean integration value (GMIV) of the expected average profit while considering revenues as well as any other relevant costs. The developed model belongs to the class of a geometric programming. We have developed a simple mathematical methodology to solve the model. Genetic algorithm and simulated annealing algorithms are also applied to solve and validate the results. A numerical example has been presented to interpret the solutions.	en_US
dc.relation.ispartof	Optimization and Engineering	en_US
dc.relation.isbasedon	10.1007/s11081-013-9218-6	en_US
dc.subject.classification	Operations Research	en_US
dc.title	Development of a production inventory model with uncertainty and reliability considerations	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	15	en_US
utslib.for	010206 Operations Research	en_US
utslib.for	091002 Flexible Manufacturing Systems	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

© 2013, Springer Science+Business Media New York. This paper addresses a problem of an imperfect production system under fuzzy demand and inventory holding cost. Production process reliability is considered because of the imperfect production process. In this problem, reliability of the system in regards to producing defective and non-defective items is considered as a decision variable. The objective is to maximize the graded mean integration value (GMIV) of the expected average profit while considering revenues as well as any other relevant costs. The developed model belongs to the class of a geometric programming. We have developed a simple mathematical methodology to solve the model. Genetic algorithm and simulated annealing algorithms are also applied to solve and validate the results. A numerical example has been presented to interpret the solutions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/118802