A Stochastic Decision Support System for Economic Order Quantity Problem

Improving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity (EOQ) problem is invest...

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Main Authors: Amir Yousefli, Mehdi Ghazanfari
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2012/650419
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author Amir Yousefli
Mehdi Ghazanfari
author_facet Amir Yousefli
Mehdi Ghazanfari
author_sort Amir Yousefli
collection DOAJ
description Improving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity (EOQ) problem is investigated in which decision variables and objective function are uncertain in nature and optimum probability distribution functions of them are calculated through a geometric programming model. Obtained probability distribution functions of the decision variables and the objective function are used as optimum knowledge to design a new probabilistic rule base (PRB) as a decision support system for EOQ model. The developed PRB is a new type of the stochastic rule bases that can be used to infer optimum or near optimum values of the decision variables and the objective function of the EOQ model without solving the geometric programming problem directly. Comparison between the results of the developed PRB and the optimum solutions which is provided in the numerical example illustrates the efficiency of the developed PRB.
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spelling doaj-art-4354b0375ed3440a8b774ab1f73d53692025-02-03T01:31:24ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/650419650419A Stochastic Decision Support System for Economic Order Quantity ProblemAmir Yousefli0Mehdi Ghazanfari1Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, IranDepartment of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, IranImproving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity (EOQ) problem is investigated in which decision variables and objective function are uncertain in nature and optimum probability distribution functions of them are calculated through a geometric programming model. Obtained probability distribution functions of the decision variables and the objective function are used as optimum knowledge to design a new probabilistic rule base (PRB) as a decision support system for EOQ model. The developed PRB is a new type of the stochastic rule bases that can be used to infer optimum or near optimum values of the decision variables and the objective function of the EOQ model without solving the geometric programming problem directly. Comparison between the results of the developed PRB and the optimum solutions which is provided in the numerical example illustrates the efficiency of the developed PRB.http://dx.doi.org/10.1155/2012/650419
spellingShingle Amir Yousefli
Mehdi Ghazanfari
A Stochastic Decision Support System for Economic Order Quantity Problem
Advances in Fuzzy Systems
title A Stochastic Decision Support System for Economic Order Quantity Problem
title_full A Stochastic Decision Support System for Economic Order Quantity Problem
title_fullStr A Stochastic Decision Support System for Economic Order Quantity Problem
title_full_unstemmed A Stochastic Decision Support System for Economic Order Quantity Problem
title_short A Stochastic Decision Support System for Economic Order Quantity Problem
title_sort stochastic decision support system for economic order quantity problem
url http://dx.doi.org/10.1155/2012/650419
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AT mehdighazanfari astochasticdecisionsupportsystemforeconomicorderquantityproblem
AT amiryousefli stochasticdecisionsupportsystemforeconomicorderquantityproblem
AT mehdighazanfari stochasticdecisionsupportsystemforeconomicorderquantityproblem