博碩士論文 964206023 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	工業管理研究所	zh_TW
DC.creator	謝見侑	zh_TW
DC.creator	Chien-Yu Hsieh	en_US
dc.date.accessioned	2009-7-9T07:39:07Z
dc.date.available	2009-7-9T07:39:07Z
dc.date.issued	2009
dc.identifier.uri	http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=964206023
dc.contributor.department	工業管理研究所	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.abstract	本論文主要研討決策者銷售季節性商品之生產量和定價問題。一般說來，季節性商品有兩項特色：固定的存貨數量以及有限的銷售時間。因為存貨的前置時間長，無法在短銷售期間內做彈性的補貨動作，故決策者必須在期初即決定存貨生產數量的多寡，因此如何在有限的銷售期間內有效的利用價格機制是很重要的。本研究室以Lee (2001) 和Shao (2007) 的概念為基礎，提出了一個利用貝式方法來更新需求資訊的模型，決策者根據原始的機率模型來決定需要生產的存貨數量以及訂定售價，經過一段銷售時間後，利用此銷售期間所獲得的需求資訊來更新原始的機率模型，並且利用此新模型來更新剩餘存貨的售價，提供決策者一個更好的決策模型。	zh_TW
dc.description.abstract	We consider that a decision maker determines the production quantity and the selling price of a seasonal product to maximize profit. Generally, seasonal products have two features, a fixed inventory of product and a limited sale period. Lee (2001) developed a single period model to study how the decision maker of a seasonal product production system to determine the appropriate cost in forecasting. And Shao (2007) studied optimal pricing strategies for seasonal products by using Dynamic programming. In our study, the decision maker based on the prior information can determine the best production quantity and the best selling price of a seasonal product. With the sales data obtained from the first sale period, we propose a Bayesian method to determine a better pricing strategy for the decision maker.	en_US
DC.subject	季節性商品	zh_TW
DC.subject	貝式方法	zh_TW
DC.subject	價格更新	zh_TW
DC.subject	seasonal products	en_US
DC.subject	Bayesian method	en_US
DC.subject	pricing	en_US
DC.subject	update	en_US
DC.title	季節性商品之兩階段定價	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	Two-Stage Pricing of Seasonal Products	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US