Volume 17, Issue 2 (5-2020)                   jor 2020, 17(2): 47-70 | Back to browse issues page

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Agha Gholizade Sayyar A, Motadel M, Pourebrahimi A. Designing an Optimization Model for Inventory Control of ATMs in Tehran. jor 2020; 17 (2) :47-70
URL: http://jamlu.liau.ac.ir/article-1-1684-en.html
Designing an Optimization Model for Inventory Control of ATMs in Tehran
A. Agha Gholizade Sayyar , M. Motadel * , A. Pourebrahimi
Department of Industrial Management, Islamic Azad University, Tehran Central Branch, Tehran, Iran.
Abstract:   (2586 Views)
ATMs are one of the most important cash-distribution channels, their inventory management is some of the most important tasks of banks. This paper provides a dynamic and optimized model for managing ATM inventory, based on the time and location of the devices. The number of devices examined is 368 in Tehran, which were surveyed during the quarterly period in 2018, which includes 189657 records. This model with data clustering succeeds in learning the pattern in the data, and then the proposed decision tree can predict the number of costumers for each scenario. By simulating the obtained scenarios, the system costs are determined, and finally, by optimizing the proposed model for each scenario, the average cost of the whole system is reduced by 12%.
Keywords: Data Mining, K-Means Clustering, Decision Tree, Simulation, Optimization, Tabu Search.
Full-Text [PDF 981 kb]   (706 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2018/05/15 | Accepted: 2019/05/18
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