An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand

Jozsef Mezei, Kaj-Mikael Björk

    Research output: Chapter in Book/Conference proceedingChapterScientificpeer-review

    1 Citation (Scopus)


    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 languageUndefined/Unknown
    Title of host publicationAdvances in Information Systems and Technologies
    Editors Rocha, Á., Correia, A.M., Wilson, T., Stroetmann, K.A.
    ISBN (Electronic)978-3-642-36981-0
    ISBN (Print)978-3-642-36980-3
    Publication statusPublished - 2013
    MoE publication typeA3 Part of a book or another research book

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