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Article type: Research Article
Authors: Mezei, József | Björk, Kaj-Mikael
Affiliations: Department of Information Technologies, IAMSR, Åbo Akademi University, Joukahaisenkatu, Turku, Finland | Arcada University of Applied Sciences, Jan-Magnus Janssons Plats, Helsinki, Finland
Note: [] Corresponding author. József Mezei, Department of Information Technologies, IAMSR, Åbo Akademi University, Joukahaisenkatu 3-5, 20520 Turku, Finland. Tel.: +358 40 1842 180; Fax: +358 0 2251 5557; E-mail: jmezei@abo.fi
Abstract: Optimization models combining Economic Production Quantity models and fuzzy set theory are important to the process industry as they are capable of modeling the numerous uncertainties inherent in this context. In this paper, we incorporate backorders (i.e the inventory to go below zero) in a fuzzy Economic Production Quantity (EPQ) model. The uncertainties in the backorders for different products are modeled using triangular possibility distributions. We present an example describing a typical decision making problem in the paper industry to illustrate our model.
Keywords: Inventory management, fuzzy numbers, EOQ-model, production-inventory optimization, supply chain management
DOI: 10.3233/IFS-141472
Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 4, pp. 1861-1868, 2015
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