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:: Volume 3, Issue 1 (5-2016) ::
2016, 3(1): 1192-1214 Back to browse issues page
The Inventory System Management under Uncertain Conditions and Time Value of Money
Abolfazl Mirzazadeh * 1, Mehri Nasrabadi2
1- Department of Industerial Engineering, Kharazmi University, Tehran, Iran , a.mirzazadeh@aut.ac.ir
2- Department of Industerial Engineering, Kharazmi University, Tehran, Iran
Abstract:   (3787 Views)
This study develops a inventory model to determine ordering policy for deteriorating items with shortages under markovian inflationary conditions. Markov processes include process whose future behavior cannot be accurately predicted from its past behavior (except the current or present behavior) and which involves random chance or probability. Behavior of business or economy, flow of traffic, progress of an epidemic, all are examples of Markov processes. Since the far previous inflation rate don’t have a great impact on the current inflation rate, so, It is logical to consider changes of the inflation rate as a markov process. In addition, It is assumed that the cost of the items changes as a Continuous – Time - Markov Process too. The inventory model is described by differential equations over the time horizon along with the present value method. The objective is minimization of the expected present value of costs over the time horizon. The numerical example and a sensitivity analysis are provided to analyze the effect of changes in the values of the different parameters on the optimal solution.
Keywords: Supply chain, Inventory Management, Markovian Costs, Deteriorating Items
     
Type of Study: مقاله پژوهشی |
ePublished: 2017/09/28
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Mirzazadeh A, Nasrabadi M. The Inventory System Management under Uncertain Conditions and Time Value of Money. Journal title 2016; 3 (1) :1192-1214
URL: http://system.khu.ac.ir/ijsom/article-1-2661-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 3, Issue 1 (5-2016) Back to browse issues page
International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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