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• Main Authors: I-Pe Shao, 邵奕珮
• Other Authors: 葉英傑
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/25448607526377700885

碩士 === 國立中央大學 === 工業管理研究所 === 95 === In this thesis we study optimal pricing strategies for seasonal products in retailing. Because the market of seasonal products is changing fast and the lead time of inventory to replenish is long, retailers have to decide the number of order quantity at the beginning of planning horizon. Therefore, how to use the pricing policies effectively during a short sale season is important. Superior pricing policies could have positive influence on products’ demand and the probability of purchasing. Briefly, getting maximum revenue from consumer surplus is the goal that most enterprises would like to pursue. In this research, we use the Periodic Pricing Review Policy from Bitran and Mondschein (1997) as a benchmark. We first present a concept of three-dimensional of price sets from dynamic programming and try to visualize the optimal price data to see an entire pricing trend and variation. It’s useful to know the interactions and relationship among main factors. Furthermore, we develop a heuristic procedure for finding near-optimal prices with regression to replace the traditional optimal dynamic pricing method which is complicate and time-consuming. The benefits of the heuristic are more convenient and simpler to implement. Moreover, our heuristic provides a near optimal expected profit at the same time. The aim of this paper, in sum, is to provide a practical reference material and basis of pricing decision process for managers.