降低大规模定制的复杂性以促进更好的决策支持

Jai Nath Banerjee, Madhura Mundale, Adnan Sachche, Christopher McComb
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引用次数: 0

摘要

大规模定制提供了一种方法,通过根据客户的喜好定制产品细节来满足越来越多的客户。此外,对于那些在其产品组合中采用大规模定制以持续生产创新和市场定义技术的行业来说,压力相当大。为了缓解这种压力,本研究为组织提供了一个视角,即在接近购买配置订单产品的决策支持时,哪些属性组合对选择影响最大。这里使用笔记本电脑作为案例研究,但这种方法可以推广到任何产品系列。该方法首先使用从修改后的联合分析中获得的指标,该分析应用于从学生消费者群体收集的数据。客户满意度作为提供了多少产品的函数来衡量,识别和量化可定制性和消费者满意度之间的权衡。这样做的目的是迎合消费者的需求和关键的业务优势,允许更大的可用性和最大的利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complexity Reduction in Mass Customization to Facilitate Better Decision Support
Mass customization provides a way to satisfy an increasing number of customers by tailoring product details to their preferences. Moreover, there is a considerable amount of pressure on industries that embrace mass customization in their product portfolios to consistently produce innovative and market defining technology. To ease this pressure, this study offers organizations a perspective on what combination of attributes is most influential on choice when approaching decision support for the purchase of a Configure-to-Order product. Laptops are used here as a case study, but the approach is generalizable to any family of products. This approach first uses metrics gained from a modified conjoint analysis applied to data gathered from a student consumer base. Customer satisfaction is measured as a function of how many product offerings are provided, identifying and quantifying a trade-off between customizability and consumer satisfaction. This aims to cater to the requirements of the consumer base and key business advantages allowing for greater usability and maximum profits.
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