SOFT COMPUTING OPTIMIZATION OF TWO WAREHOUSE INVENTORY MODEL WITH GENETIC ALGORITHM
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