A Diccount Pricing Model for Customers' Advance Purchase

碩士 === 國立交通大學 === 工業工程與管理研究所 === 86 ===   In an seeemly-to -orer production system, manufacturers usually face the challenge of how to deal with the problem of customers' demand uncertainty. Ingeneral customers on each month are requested to present manfacturer their demand forecasts for the n...

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Bibliographic Details
Main Authors: Lu, Pei-Yue, 呂培瑜
Other Authors: Hsu, His-Mei
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/56890454757324648238
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Summary:碩士 === 國立交通大學 === 工業工程與管理研究所 === 86 ===   In an seeemly-to -orer production system, manufacturers usually face the challenge of how to deal with the problem of customers' demand uncertainty. Ingeneral customers on each month are requested to present manfacturer their demand forecasts for the next few months. Th forecasts would provide manager as a reference for purchase of materials for future production. However the demand forecasts are usually inaccuracy, manufacturer perform two strategies to manage the inaccuracy of demand forecasts. One is by setting certin elvels of safety stocks, and the other is by adjusty the demand forecast. However, the two decisions are not enough to absort the effects of demand uncertainty. In this study, we propose the third strategy that is to stimulate customers to make advanced pruchase.   When customers make advanced puchases at manufacturers' repenishment-time, manufacturers could use the reilable information to replenish the material, but the customers would charge more risk therewith. To compensate the customers' risk, manufacturer should afford pricing discount to consumers as incentive to make adanved puechases. This paper develops a discont-pricing model for customers' advance puchase. Under various advanced purchase ratios, we discuss the discount pricing which the seller will offer and the buyer will accept then determines the optimal advanced purchase ratio and the feasible discount price. Finaly, we use an exemple to illustrate the procedure of this model.