预付款销售的供应链定价策略

IF 1.9 3区工程技术 Q3 MANAGEMENT

IMA Journal of Management Mathematics Pub Date : 2023-05-02 DOI:10.1093/imaman/dpad008

Qingfang Lyu, Shuang Wu, B. Li, Yawen Zhang

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引用次数: 0

摘要

本研究研究了一个由制造商和零售商组成的供应链的定价策略。运用效用理论分析了预付货款预购中顾客的购买行为，利用Stackelberg模型得到了供应链的定价决策。我们发现，当消费者对配送提前期不敏感时，零售商的提前销售策略可以改善整个供应链。更好的消费者信息和适度的预售配送前置时间信息可以通过扩大预售的可行范围来扩大零售商的预售可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Supply chain pricing strategies for advance selling with a deposit

This research studies the pricing strategy of a supply chain with a manufacturer and a retailer. We analyse the customers’ purchase behaviour in advance selling with deposit by using utility theory and obtain the pricing decision of the supply chain by using the Stackelberg model. We find that when consumers are not sensitive to the distribution lead time, the retailer’s advance selling strategy could Pareto improve the whole supply chain. Better informed consumers and moderate advance selling distribution lead time information could expand the retailer’s pre-sale possibilities by enlarging the feasible range of advance selling.

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来源期刊

IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.70

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.