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:: Volume 1, Issue 1 (5-2014) ::
2014, 1(1): 81-107 Back to browse issues page
Analyzing Bullwhip Effect in Supply Networks under Exogenous Uncertainty
Mitra Darvish1 , Mehdi Seifabrghy * 2, Mohammad Ali Saniei Monfared2 , Fatemeh Akbari2
1- Industrial Engineering Department, Alzahra University, Tehran, Iran.
2- Industrial Engineering Department, Alzahra University, Tehran, Iran
Abstract:   (13718 Views)
This paper explains a model for analyzing and measuring the propagation of order amplifications (i.e. bullwhip effect) for a single-product supply network topology considering exogenous uncertainty and linear and time-invariant inventory management policies for network entities. The stream of orders placed by each entity of the network is characterized assuming customer demand is ergodic. In fact, we propose an exact formula in order to measure the bullwhip effect in the addressed supply network topology considering the system in Markovian chain framework and presenting a matrix of network member relationships and relevant order sequences. The formula turns out using a mathematical method called frequency domain analysis. The major contribution of this paper is analyzing the bullwhip effect considering exogenous uncertainty in supply networks and using the Fourier transform in order to simplify the relevant calculations. We present a number of numerical examples to assess the analytical results accuracy in quantifying the bullwhip effect.
Keywords: Supply Chain Management, Inventory, Bullwhip effect, Exogenous uncertainty, Frequency domain analysis
     
Type of Study: مقاله پژوهشی |
ePublished: 2017/09/28
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Darvish M, Seifabrghy M, Saniei Monfared M A, Akbari F. Analyzing Bullwhip Effect in Supply Networks under Exogenous Uncertainty. Journal title 2014; 1 (1) :81-107
URL: http://system.khu.ac.ir/ijsom/article-1-1905-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 1, Issue 1 (5-2014) Back to browse issues page
International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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