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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2011 Vol.1(2): 174-179 ISSN: 2010-3697
DOI: 10.7763/IJMO.2011.V1.31

A Dual Model for Describing of Reverse Logistics Inventory Systems

N.nahavandi and F. haghighirad, S.Farokhi

Abstract—Modeling and analysis of inventory systems in reverse logistics is more complex than in forwards logistics, because in reverse logistics not only amount of demand is not clear, but also uncertainty of product return is appeared in the system. In this paper, an inventory system with the possibility of product return is modeled by means of simulation tools and then thermal equivalent of inventory model, using laws of heat transfer is developed. In order to provide the thermal equivalent, components of the inventory system are known and for each component the thermal equivalent is introduced and then sensitivity analysis is used to show validity of dual model with induction. Hence, analyzing the thermal model can lead us to know the effect of different policies and parameters on inventory system performance. Thermal equivalent model presented in this paper is a strong base for inventory system analysis with more complex structures in future studies.

Index Terms—reverse logistics, inventory model, heat transfer, return of products.

Nasim Nahavandi Assistant Professor
Faculty of Engineering, Tarbiat Modares University, Tehran, IRAN P.O. Box: 14115-179,Tel: +98(21)82883961,Email: n_nahavandi@modares.ac.ir.
Farzad Haghighi rad PhD from Faculty of Engineering, Tarbiat Modares University, Email: haghighirad@yahoo.com
Saeed Farokhi Ms student from Faculty of Mechanical Engineering, University of Tehran, Email: saeedfa@gmail.com.

[PDF]

Cite: N.nahavandi and F. haghighirad, S.Farokhi, "A Dual Model for Describing of Reverse Logistics Inventory Systems," International Journal of Modeling and Optimization vol. 1, no. 2, pp. 174-179, 2011.

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