SOFT COMPUTING OPTIMIZATION OF TWO WAREHOUSE INVENTORY MODEL WITH GENETIC ALGORITHM

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Published: 2017-09-04

Page: 214-223


AJAY SINGH YADAV *

Department of Mathematics, SRM University, Delhi-NCR Campus, Modinagar, Ghaziabad, U.P., India

PRERNA MAHESHWARI (SHARMA)

Department of Mathematics, SRM University, Delhi-NCR Campus, Modinagar, Ghaziabad, U.P., India

ANUPAM SWAMI

Department of Mathematics, Govt. P.G. College, Sambhal, U.P., India

GEETHANJALI KHER

Department of Computer Science, Kirori Mal College, Delhi, India

*Author to whom correspondence should be addressed.


Abstract

Inventory control or inventory optimization is a method of balancing investment to achieve the service-level goal. Here we consider two warehouse inventory models. One is of finite capacity treated as OW (Owned Warehouse) which is at market place and other warehouse is of infinite capacity treated as RW (Rented Warehouse) which is at some other place from the market. Here the objective is to minimize the total cost .In this work Genetic algorithm is used to optimize or to minimize the cost. The results produced from the Genetic algorithm are compared with mathematical model and genetic algorithm. Results show that the Genetic algorithm optimized the results more than traditional mathematical model and genetic algorithm.

Keywords: Inventory, two-warehouse, genetic algorithm


How to Cite

YADAV, A. S., MAHESHWARI (SHARMA), P., SWAMI, A., & KHER, G. (2017). SOFT COMPUTING OPTIMIZATION OF TWO WAREHOUSE INVENTORY MODEL WITH GENETIC ALGORITHM. Asian Journal of Mathematics and Computer Research, 19(4), 214–223. Retrieved from https://ikprress.org/index.php/AJOMCOR/article/view/947

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