| Summary: | 碩士 === 國立中央大學 === 工業管理研究所 === 95 === This thesis studies pricing policies when selling seasonal goods in retail stores. We consider a retailer who sells a single good during a short sales season, and the cost of the good is a sunk cost. Moreover, the seller orders the good at the beginning of the planning horizon and that reorders are not allowed. We allow a nonhomogeneous Poisson arrival process to describe the arrival of customers to the store, and each customer has an individual reservation price based on which he makes his own purchasing decision. In this research, we first introduce periodic pricing review policy that is the optimal and announced discount policy that consists of an initial price and a fixed discount per period. Although announced discount policy has the advantage that reduces all the management costs associated with changing prices, retailers loses the flexibility to react to market conditions. Therefore, we develop a heuristic pricing policy that consists of the price of the period and a discount rate for eliminating the negative effect resulted from announced discount policy. Finally, we perform two numerical studies to compare the performance of the proposed heuristic to those obtained under the other two pricing policies. We show that our heuristic pricing policy provides the near optimal expected revenue that is better than that obtained by announced discount policy. Briefly, the purpose of this research is to propose a near optimal pricing policy that is simpler to implement in practice for seasonal goods.
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