An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand

Jozsef Mezei; Kaj-Mikael Björk

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

An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand

Jozsef Mezei, Kaj-Mikael Björk

Forskningsoutput: Kapitel i bok/konferenshandling › Kapitel › 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	Odefinierat/okänt
Titel på värdpublikation	Advances in Information Systems and Technologies
Redaktörer	Rocha, Á., Correia, A.M., Wilson, T., Stroetmann, K.A.
Förlag	Springer
Sidor	557–566
ISBN (elektroniskt)	978-3-642-36981-0
ISBN (tryckt)	978-3-642-36980-3
DOI	https://doi.org/10.1007/978-3-642-36981-0_51
Status	Publicerad - 2013
MoE-publikationstyp	A3 Del av bok eller annan forskningsbok

Åtkomst av dokument

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

Citera det här

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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.",

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