AN OPTIMAL DECISION MODEL FOR AMELIORATING INVENTORY ITEMS WITH STOCK DEPENDENT DEMAND

Author:

Gwanda Yusuf I.,Iyanda Falade Kazeem Iyanda,Abubakar Umar Muhammad

Abstract

In marketplace, it is normally observed that the utility of some items increases with time. For instance, in breweries, the value of some stocked wine increases with time. In farms, the quantity or weight of fish, fast growing animals including broilers, sheep, and so on, increase with time. These phenomena are termed amelioration. In this paper therefore, we study an inventory model that determines the optimal replenishment decision for ameliorating items with stock dependent demand where the holding cost and the rate of amelioration are considered constants. The concept of differential and integral calculus was used to optimize the cost function to obtain numerical examples that illustrate the effects of parameter changes on the decision variables and to find the optimum number of replenishments. The model could be used by the organizations that deal with the relevant items.

Publisher

Federal University Dutsin-Ma

Subject

General Medicine

Reference16 articles.

1. Baker, R.C. and Urban, T.L. (1988), A deterministic inventory system with an inventory level-dependent demand rate, Journal of Operational Research Society 39 (9): 823-831.

2. Chang, C.T., Teng, J.T. and Goyal, S.K. (2010), Optimal replenishment policies for non-instantaneous deteriorating items with stock-dependent demand, International Journal of Production Economics, 123: 62-68

3. Gwanda Y. I. and Sani B. (2011), An economic order quantity model for Ameliorating Items with constant demand, The Journal of Mathematical Association of Nigeria, ABACUS, 38 (2):161-168.

4. Gwanda Y. I. and Sani B. (2012), An economic order quantity model for Ameliorating Items with Linear Trend in demand, The Journal of Mathematical Association of Nigeria, ABACUS, 39 (2),216-226

5. Hwang S.K. (1997), A study of Inventory model for items with Weibull ameliorating, Computers and Industrial Engineering 33: 701-704.

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