Table of Contents
Chinese Journal of Engineering
Volume 2014, Article ID 347857, 10 pages
http://dx.doi.org/10.1155/2014/347857
Research Article

A New Mathematical Inventory Model with Stochastic and Fuzzy Deterioration Rate under Inflation

Department of Industrial Engineering, University of Kharazmi, Tehran, Iran

Received 12 February 2014; Revised 19 June 2014; Accepted 8 July 2014; Published 14 August 2014

Academic Editor: Jiuping Xu

Copyright © 2014 Bahar Naserabadi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper develops an inventory model for items with uncertain deterioration rate, time-dependent demand rate with nonincreasing function, and allowable shortage under fuzzy inflationary situation. The goods are not deteriorating upon reception, but the deteriorating starts after elapsing a specified time. The lead time and inflation rate are both uncertain in the model. The resultant effect of inflation and time value of money is assumed to be fuzzy in nature and also we consider lead time as a fuzzy function of order quantity. Furthermore the following different deterioration rates have been considered: for the first case we consider fuzzy deterioration rate and for the second case we assume that the deterioration rate is time dependent and follows Weibull distribution with three known parameters. Since the inflation rate, deterioration rate, and the lead time are fuzzy numbers, the objective function becomes fuzzy. Therefore the estimate of total costs for each case is derived using signed distance technique for defuzzification. The optimal replenishment policy for the model is to minimize the total present value of inventory system costs, derived for both the above mentioned policies. Numerical examples are then presented to illustrate how the proposed model is applied.