Journals Information
Computer Science and Information Technology Vol. 1(1), pp. 1 - 8
DOI: 10.13189/csit.2013.010101
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Designing an Intelligent Warehouse Based on Genetic Algorithm and Fuzzy Logic for Determining Reorder Point and Order Quantity
Esmail Khanlarpour1, Hamed Fazlollahtabar2,*, Iraj Mahdavi3
1 Department of Information Technology Engineering, Mazandaran University of Science and Technology, Babol, Iran
2 Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
3 Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
ABSTRACT
We develop a model to determine the reorder point and the optimal order quantity in a warehouse. Due to the maintenance costs, it is better to consider the order time period and the order quantity to prevent excessive inventory storage while reducing the cost on the other hand. In our study, we employ fuzzy logic as time decision aid and Genetic Algorithm for optimal order quantity. The decision making process is performed in an application software designed for a diary firm.
KEYWORDS
Inventory Control, Reorder Point, Order Quantity, Genetic Algorithm, Fuzzy Theory, Inventory Optimization, Web Application
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Esmail Khanlarpour , Hamed Fazlollahtabar , Iraj Mahdavi , "Designing an Intelligent Warehouse Based on Genetic Algorithm and Fuzzy Logic for Determining Reorder Point and Order Quantity," Computer Science and Information Technology, Vol. 1, No. 1, pp. 1 - 8, 2013. DOI: 10.13189/csit.2013.010101.
(b). APA Format:
Esmail Khanlarpour , Hamed Fazlollahtabar , Iraj Mahdavi (2013). Designing an Intelligent Warehouse Based on Genetic Algorithm and Fuzzy Logic for Determining Reorder Point and Order Quantity. Computer Science and Information Technology, 1(1), 1 - 8. DOI: 10.13189/csit.2013.010101.