A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint

Jozsef Mezei; Kaj-Mikael Björk

doi:10.1007/978-3-319-08795-5_42

A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint

Jozsef Mezei, Kaj-Mikael Björk

Research output: Chapter in Book/Conference proceeding › Chapter › Scientific › peer-review

Abstract

In this paper, we will develop a new multi-item economic production quantity model with limited storage space. This new model will then be extended to allow for fuzzy demand and solved numerically with a non-linear programming solver for two cases: in the first case the optimization problem will be defuzzified with the signed distance measure and in the second case, the storage constraint needs to be fulfilled, only to a certain degree of possibility. Both cases are solved and illustrated with an example.

Original language	Undefined/Unknown
Title of host publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems
Editors	Anne Laurent, Olivier Strauss, Bernadette Bouchon-Meunier, Ronald R. Yager
Publisher	Springer
Pages	406–415
ISBN (Electronic)	978-3-319-08795-5
ISBN (Print)	978-3-319-08794-8
DOIs	https://doi.org/10.1007/978-3-319-08795-5_42
Publication status	Published - 2014
MoE publication type	A3 Part of a book or another research book

Access to Document

10.1007/978-3-319-08795-5_42

Cite this

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abstract = "In this paper, we will develop a new multi-item economic production quantity model with limited storage space. This new model will then be extended to allow for fuzzy demand and solved numerically with a non-linear programming solver for two cases: in the first case the optimization problem will be defuzzified with the signed distance measure and in the second case, the storage constraint needs to be fulfilled, only to a certain degree of possibility. Both cases are solved and illustrated with an example.",

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A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint. / Mezei, Jozsef; Björk, Kaj-Mikael.
Information Processing and Management of Uncertainty in Knowledge-Based Systems. ed. / Anne Laurent; Olivier Strauss; Bernadette Bouchon-Meunier; Ronald R. Yager. Springer, 2014. p. 406–415.

Research output: Chapter in Book/Conference proceeding › Chapter › Scientific › peer-review

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AU - Björk, Kaj-Mikael

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N2 - In this paper, we will develop a new multi-item economic production quantity model with limited storage space. This new model will then be extended to allow for fuzzy demand and solved numerically with a non-linear programming solver for two cases: in the first case the optimization problem will be defuzzified with the signed distance measure and in the second case, the storage constraint needs to be fulfilled, only to a certain degree of possibility. Both cases are solved and illustrated with an example.

AB - In this paper, we will develop a new multi-item economic production quantity model with limited storage space. This new model will then be extended to allow for fuzzy demand and solved numerically with a non-linear programming solver for two cases: in the first case the optimization problem will be defuzzified with the signed distance measure and in the second case, the storage constraint needs to be fulfilled, only to a certain degree of possibility. Both cases are solved and illustrated with an example.

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