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Multi-Warehouses Inventory Problem of Deteriorating Items with Fuzzy Lead-Time and Partial Lost Sales under Inflation and Time Value of Money
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 92 - Number 13 |
| Year of Publication: 2014 |
| Authors: Jayanta Kumar Dey, Shyamal Kumar Mandal, Manoranjan Maiti |
10.5120/16067-4937
|
Jayanta Kumar Dey, Shyamal Kumar Mandal, Manoranjan Maiti . Multi-Warehouses Inventory Problem of Deteriorating Items with Fuzzy Lead-Time and Partial Lost Sales under Inflation and Time Value of Money. International Journal of Computer Applications. 92, 13 ( April 2014), 11-19. DOI=10.5120/16067-4937
Abstract
In this paper, a realistic replenishment model with multiple warehouses (one is primary warehouse (PW) from where the items are sold and others are secondary warehouses (SWs) where the items are stored) is developed with fuzzy lead-time under the assumption that the capacities of the warehouses are finite. Inflation and time value of money are taken into account. The items of secondary warehouses are transported to the primary warehouse in continuous release pattern and associated transportation cost is proportional to the distance from PW to SWs. The holding cost of items in SWs has reverse effect with distance. Here, the demand of items is a deterministic function of selling price and the displayed inventory. Deterioration rates of the items are constant and different in different warehouses. The replenishment rate is infinite and the problem is constructed with shortages, which are the mixture of back orders and lost sales. The backlogged demand is assumed to be a function of currently backlogged amount. When an item is out of stock, the loyal and captive customers will wait until the outstanding orders arrive and are served. To compensate the inconvenience of backordering and to secure orders, the supplier may offer a price discount on the stock out item. There are three scenarios depending upon the time when the new order is placed for the next cycle. The problem is illustrated with the help of numerical examples.
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