School of Business, Wuyi University, Wuyishan, Fujian, China.
School of Mathematics and Computer, Wuyi University, Wuyishan, Fujian, China.
PLoS One. 2024 Feb 29;19(2):e0298381. doi: 10.1371/journal.pone.0298381. eCollection 2024.
The core objective of a successful product supply strategy is to determine the mechanism through which consumers' psychological effects influence customer demand. As stated in the theory of supply and demand, a higher level of dynamic equilibrium should be formed in which demand drives supply and supply creates demand. There is a lack of systematic research in the literature on the identification of consumer goods demand attributes and the formation of influencing factors in consumer goods supply chains. In this paper, we use the literature on demand functions and product pricing functions to establish three mathematical models to study the factors that influence retailers in designing and planning product supply strategies for different customers under nonessential demand patterns and to solve the profit maximization problem. The results of numerical examples validate the validity of the model. The research results can help retailers develop different supply strategies according to different types of customers and different demand patterns, thereby improving business performance. The theoretical contribution of this study is the construction of value ranges and a demand function diagram for identifying consumer product demand attributes.
成功的产品供应策略的核心目标是确定消费者心理效应影响客户需求的机制。正如供求理论所述，应该形成更高水平的动态平衡，即需求推动供应，供应创造需求。在消费品供应链中，关于消费品需求属性的识别和影响因素的形成，文献中缺乏系统的研究。在本文中，我们使用需求函数和产品定价函数的文献，建立了三个数学模型，以研究在非必要需求模式下，零售商在为不同客户设计和规划产品供应策略时影响零售商的因素，并解决利润最大化问题。数值实例的结果验证了模型的有效性。研究结果可以帮助零售商根据不同类型的客户和不同的需求模式制定不同的供应策略，从而提高业务绩效。本研究的理论贡献是构建了识别消费品需求属性的价值范围和需求函数图。
