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

Forskningsoutput: Kapitel i bok/konferenshandling › Kapitel › Vetenskaplig › Peer review

Sammanfattning

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.

Originalspråk	Odefinierat/okänt
Titel på värdpublikation	Information Processing and Management of Uncertainty in Knowledge-Based Systems
Redaktörer	Anne Laurent, Olivier Strauss, Bernadette Bouchon-Meunier, Ronald R. Yager
Förlag	Springer
Sidor	406–415
ISBN (elektroniskt)	978-3-319-08795-5
ISBN (tryckt)	978-3-319-08794-8
DOI	https://doi.org/10.1007/978-3-319-08795-5_42
Status	Publicerad - 2014
MoE-publikationstyp	A3 Del av bok eller annan forskningsbok

Åtkomst av dokument

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

Citera det här

@inbook{cbec0bdca8fb4679a29c94ecf15deccc,

title = "A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint",

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.",

author = "Jozsef Mezei and Kaj-Mikael Bj{\"o}rk",

year = "2014",

doi = "10.1007/978-3-319-08795-5_42",

language = "Odefinierat/ok{\"a}nt",

isbn = "978-3-319-08794-8",

pages = "406–415",

editor = "Anne Laurent and Olivier Strauss and Bernadette Bouchon-Meunier and Yager, {Ronald R.}",

booktitle = "Information Processing and Management of Uncertainty in Knowledge-Based Systems",

publisher = "Springer",

}

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. red. / Anne Laurent; Olivier Strauss; Bernadette Bouchon-Meunier; Ronald R. Yager. Springer, 2014. s. 406–415.

Forskningsoutput: Kapitel i bok/konferenshandling › Kapitel › Vetenskaplig › Peer review

TY - CHAP

T1 - A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint

AU - Mezei, Jozsef

AU - Björk, Kaj-Mikael

PY - 2014

Y1 - 2014

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.

U2 - 10.1007/978-3-319-08795-5_42

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

M3 - Kapitel

SN - 978-3-319-08794-8

SP - 406

EP - 415

BT - Information Processing and Management of Uncertainty in Knowledge-Based Systems

A2 - Laurent, Anne

A2 - Strauss, Olivier

A2 - Bouchon-Meunier, Bernadette

A2 - Yager, Ronald R.

PB - Springer

ER -