An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand

József Mezei; Kaj Mikael Björk

doi:10.1007/978-3-642-36981-0_51

An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand

József Mezei^*, Kaj Mikael Björk

^*Motsvarande författare för detta arbete

Finansiell ekonomi, Helsingfors

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

1 Citeringar (Scopus)

Sammanfattning

Optimization models based on fuzzy set theory are relevant to the process industry, where there are many uncertainties that are inherently fuzzy. In this paper, we incorporate backorders (i.e the inventory to go below zero) and cycle time in a fuzzy Economic Production Quantity (EPQ) model. The uncertainties in the backorders and in the demand for different products are modeled using triangular possibility distributions. We illustrate the model with an example that describes a typical decision making problem in the paper industry.

Originalspråk	Engelska
Titel på värdpublikation	Advances in Information Systems and Technologies
Antal sidor	10
Utgivningsort	Berlin, Heidelberg
Förlag	Springer Verlag
Utgivningsdatum	01.01.2013
Sidor	557-566
ISBN (tryckt)	978-3-642-36980-3
ISBN (elektroniskt)	978-3-642-36981-0
DOI	https://doi.org/10.1007/978-3-642-36981-0_51
Status	Publicerad - 01.01.2013
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	2013 World Conference on Information Systems and Technologies, WorldCIST 2013 - Olhao, Algarve, Portugal Varaktighet: 27.03.2013 → 30.03.2013

Publikationsserier

Namn	Advances in Intelligent Systems and Computing (AISC)
Volym	206
ISSN (tryckt)	2194-5357

Nyckelord

512 Företagsekonomi

Åtkomst av dokument

10.1007/978-3-642-36981-0_51

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title = "An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand",

abstract = "Optimization models based on fuzzy set theory are relevant to the process industry, where there are many uncertainties that are inherently fuzzy. In this paper, we incorporate backorders (i.e the inventory to go below zero) and cycle time in a fuzzy Economic Production Quantity (EPQ) model. The uncertainties in the backorders and in the demand for different products are modeled using triangular possibility distributions. We illustrate the model with an example that describes a typical decision making problem in the paper industry.",

keywords = "512 Business and Management, Economic Production Quantity, Fuzzy Sets, Signed Distance, Production optimization, Supply Chain Management",

author = "J{\'o}zsef Mezei and Bj{\"o}rk, {Kaj Mikael}",

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Mezei, J & Björk, KM 2013, An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand. i Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing (AISC), vol. 206 , Springer Verlag, Berlin, Heidelberg, s. 557-566, 2013 World Conference on Information Systems and Technologies, WorldCIST 2013, Olhao, Algarve, Portugal, 27.03.2013. https://doi.org/10.1007/978-3-642-36981-0_51

An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand. / Mezei, József; Björk, Kaj Mikael.
Advances in Information Systems and Technologies. Berlin, Heidelberg: Springer Verlag, 2013. s. 557-566 (Advances in Intelligent Systems and Computing (AISC); Vol. 206 ).

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

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An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand

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