Optimal product family design with platform modularity and component sharing under uncertain environment

模块化(生物学) 组分(热力学) 模块化设计 计算机科学 估价(财务) 利润(经济学) 规模经济 产品(数学) 共享经济 过程管理 业务 产业组织 营销 经济 微观经济学 数学 万维网 操作系统 物理 热力学 生物 遗传学 财务 几何学
作者
Qinyu Song,Yaodong Ni,Dan A. Ralescu
出处
期刊:Journal of Intelligent and Fuzzy Systems [IOS Press]
卷期号:41 (2): 3573-3589 被引量:2
标识
DOI:10.3233/jifs-210957
摘要

The customer demands of various products bring a challenge for manufacturers. They have to design customized products while maintaining economies of scale and low costs. In this paper, to address this challenge, four approaches are argued to help companies find out the optimal solutions of products’ performance and the maximum profit: (i) only platform modularity without component sharing (ii) only component sharing without platform modularity, (iii) using both platform modularity and component sharing to develop products, or iv) the products are developed individually from a given unshared components set. A theoretical model is proposed and the most profitable approach is found to develop a whole new product family when uncertainty exists in the customer demand and economies of scale with pre-defined parameters. We find that, when consumers’ valuation is considered, the manufacturer may prefer to adopt platform or component sharing individually rather than combining them because the performance of high-end products using platform and component sharing strategies is worse than that using two strategies separately. If platform and component sharing are adopted, the high-end product is under designed, but the manufacturer can benefit from economies of scale. When economies of scale of the platform are greater than or equal to that of component sharing, the optimal performance level of low-end products under platform strategy is lower than that under component sharing strategy. Finally, the detailed numerical analysis provides support for the feasibility and effectiveness of the model.
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