Fuzzy economic order quantity model with ranking fuzzy number cost parameters

In this paper, a multi-objective economic order quantity model with shortages and demand dependent unit cost under storage space constraint is formulated. In real life situation, the objective and constraint goals and cost parameters are not precisely defined. These are defined in fuzzy environm...

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Main Author: Mandal Nirmal Kumar
Format: Article
Language:English
Published: University of Belgrade 2012-01-01
Series:Yugoslav Journal of Operations Research
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-0243/2012/0354-02431200014M.pdf
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author Mandal Nirmal Kumar
author_facet Mandal Nirmal Kumar
author_sort Mandal Nirmal Kumar
collection DOAJ
description In this paper, a multi-objective economic order quantity model with shortages and demand dependent unit cost under storage space constraint is formulated. In real life situation, the objective and constraint goals and cost parameters are not precisely defined. These are defined in fuzzy environment. The cost parameters are represented here as triangular shaped fuzzy numbers with different types of left and right branch membership functions. The fuzzy numbers are then expressed as ranking fuzzy numbers with best approximation interval. Geometric programming approach is applied to derive the optimal decisions in closed form. The inventory problem without shortages is discussed as a special case of the original problem. A numerical illustration is given to support the problem.
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spelling doaj.art-a195024116594397ade294788b538be72022-12-21T19:08:15ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2012-01-0122224726410.2298/YJOR110727014MFuzzy economic order quantity model with ranking fuzzy number cost parametersMandal Nirmal KumarIn this paper, a multi-objective economic order quantity model with shortages and demand dependent unit cost under storage space constraint is formulated. In real life situation, the objective and constraint goals and cost parameters are not precisely defined. These are defined in fuzzy environment. The cost parameters are represented here as triangular shaped fuzzy numbers with different types of left and right branch membership functions. The fuzzy numbers are then expressed as ranking fuzzy numbers with best approximation interval. Geometric programming approach is applied to derive the optimal decisions in closed form. The inventory problem without shortages is discussed as a special case of the original problem. A numerical illustration is given to support the problem.http://www.doiserbia.nb.rs/img/doi/0354-0243/2012/0354-02431200014M.pdfinventoryranking fuzzy numbergeometric programming
spellingShingle Mandal Nirmal Kumar
Fuzzy economic order quantity model with ranking fuzzy number cost parameters
Yugoslav Journal of Operations Research
inventory
ranking fuzzy number
geometric programming
title Fuzzy economic order quantity model with ranking fuzzy number cost parameters
title_full Fuzzy economic order quantity model with ranking fuzzy number cost parameters
title_fullStr Fuzzy economic order quantity model with ranking fuzzy number cost parameters
title_full_unstemmed Fuzzy economic order quantity model with ranking fuzzy number cost parameters
title_short Fuzzy economic order quantity model with ranking fuzzy number cost parameters
title_sort fuzzy economic order quantity model with ranking fuzzy number cost parameters
topic inventory
ranking fuzzy number
geometric programming
url http://www.doiserbia.nb.rs/img/doi/0354-0243/2012/0354-02431200014M.pdf
work_keys_str_mv AT mandalnirmalkumar fuzzyeconomicorderquantitymodelwithrankingfuzzynumbercostparameters