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

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

1 Citation (Scopus)

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.

Original language	Undefined/Unknown
Title of host publication	Advances in Information Systems and Technologies
Editors	Rocha, Á., Correia, A.M., Wilson, T., Stroetmann, K.A.
Publisher	Springer
Pages	557–566
ISBN (Electronic)	978-3-642-36981-0
ISBN (Print)	978-3-642-36980-3
DOIs	https://doi.org/10.1007/978-3-642-36981-0_51
Publication status	Published - 2013
MoE publication type	A3 Part of a book or another research book

Access to Document

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

Cite this

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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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