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Determining optimal selling price and lot size with a varying rate of deterioration and exponential partial backlogging
Authors:Chung-Yuan Dye  Tsu-Pang Hsieh  Liang-Yuh Ouyang
Institution:1. Department of Business Management, Shu-Te University, Yen Chao, Kaohsiung 824, Taiwan, ROC;2. Graduate Institute of Management Sciences, Tamkang University, Tamsui, Taipei 251, Taiwan, ROC
Abstract:In this paper, a deterministic inventory model for deteriorating items with price-dependent demand is developed. The demand and deterioration rates are continuous and differentiable function of price and time, respectively. In addition, we allow for shortages and the unsatisfied demand is partially backlogged at a negative exponential rate with the waiting time. Under these assumptions, for any given selling price, we first develop the criterion for the optimal solution for the replenishment schedule, and prove that the optimal replenishment policy not only exists but also is unique. If the criterion is not satisfied, the inventory system should not be operated. Next, we show that the total profit per unit time is a concave function of price when the replenishment schedule is given. We then provide a simple algorithm to find the optimal selling price and replenishment schedule for the proposed model. Finally, we use numerical examples to illustrate the algorithm.
Keywords:EOQ  Pricing  Deterioration  Partial backlogging
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