Volume 24, Issue 1 (IJIEPR 2013)                   IJIEPR 2013, 24(1): 91-99 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ameli M, Mirzazadeh A, Shirazi M. Entropic Economic Order Quantity Model for Items with Imperfect Quality Considering Constant Rate of Deterioration under Fuzzy Inflationary Conditions. IJIEPR. 2013; 24 (1) :91-99
URL: http://ijiepr.iust.ac.ir/article-1-315-en.html
1- Tarbiat Moallem University of Tehran
2- Tarbiat Moallem University of Tehran , a.mirzazadeh@aut.ac.ir
3- Amirkabir University of Technology
Abstract:   (5473 Views)
It was suggested in 2004 by some researchers that it might be possible to improve production systems performance by applying the first and second laws of thermodynamics to reduce system entropy. Then these laws were used to modify the economic order quantity (EOQ) model to derive an equivalent entropic order quantity (EnOQ). Moreover the political instability or uncertainty of a country (as well as the whole world) leads to a much more unstable situation in the present world economy. Thus, changes in inflation take place, and it is needed to consider uncertain inflation rate. In this paper we extend the EnoQ model by considering deteriorating items with imperfect quality and price dependent demand. We also assume fuzzy inflation and discount rates.‌ A mathematical model is developed to determine the number of cycles that maximizes the present value of total revenue in a finite planning horizon. The fuzzified model for inflation and discount rate is formulated and solved by two methods: signed distance and fuzzy numbers ranking. Numerical examples are presented and results are discussed. Results show that the number of cycles decreases in fuzzy inflationary conditions. They also illustrate that defuzzification method results in more cycles than fuzzy method.
Full-Text [PDF 1217 kb]   (2455 Downloads)    
Type of Study: Research | Subject: Material Managment
Received: 2011/09/30 | Published: 2013/02/15

Add your comments about this article : Your username or Email:

Send email to the article author

© 2020 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb