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Study on Order Strategy for Perishable Goods Based on Repetitious Resalable Returns

Author: WangHongHong
Tutor: ZhongLeiGang
School: Northeastern University
Course: Management Science and Engineering
Keywords: Reverse Logistics Perishable Goods Resalable returns Optimal order batch Newsboy model Normal distribution Time price discounts
CLC: F274
Type: Master's thesis
Year: 2008
Downloads: 50
Quote: 0
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Abstract

Current customer demand for the product presents a multi-species, small quantities of the characteristics of enterprises in order link to make the appropriate adjustment and improvement, and to respond quickly to market. For epidemic perishable and the statute of limitations of the commodity, and its significance is more apparent. However, in the current buyer's market environment, companies faced with the increasingly serious problem of return, a large number of returns a serious impact on corporate profits and reputation. For a large retailer, this return is especially significant. Their return rates as high as 75% of returned products resale, the retailer issued orders should return these repeated resale taken into account in order to determine the optimal order quantity and timing of optimal order, in order to achieve expected profit. Based newsboy model of expected profit maximization objective optimal order quantity and optimal ordering time, standing on the retailer's point of view on the basis of the existing literature summarized systematic study of a single cycle The perishable product life cycle is fixed and short sales period repeatedly resale the return order model and strategy selection problem. First, the vendor does not provide the time price discount conditions, first for a shelf-life constraints of perishable goods, were established model-based the multiple resale return of risk appetite and risk aversion dealer ordering and the Kuhn-Tucker theorem in optimization theory to solve the mathematical expressions for the optimal order cycle and order quantity; then for Perishable goods already on the market for some time to establish a large mail-order suppliers based on multiple resale returns ordering model, using probability theory to solve the analytical solution of the optimal order quantity; Finally, just listed new alternative Perishable Goods established repeatedly ordering resale return model, fuzzy theory to solve. Then, on the basis of the above model, the above order policy operator case studies, for example, some of the issues and conclusions made recommendations. Finally, the time price discounts under the conditions established for existing perishable product suppliers to retailers ordering policy model based on multiple resale returns and solving, and model parameter sensitivity analysis using differential theory.

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