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Personalized product configuration rules with dual formulations: A method to proactively leverage mass confusion

机译:双重配方的个性化产品配置规则:一种主动利用大量混乱的方法

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摘要

Mass confusion is a metaphor of the burdens for customers as a result of attractive but probably overloaded options in mass customization interaction process. This perceived risk of mass customization has been revealed and discussed in last decade and most research concentrates on the personalization of the interaction behaviour between front-end roles, i.e. customers and salesmen. Although the research in the front-end helps to improve customers' satisfaction, the risk of mass confusion cannot be well leveraged by isolated personalization in the front-end: the intensive involvement of customers and salesmen also brings challenges to their patience, qualification and the responsiveness of configuration activities. Differing from most existing research, this research tries to propagate the effort of personalization from front-end roles to back-end configuration knowledge by proposing a kind of personalized configuration rules (PCRs). To simultaneously alleviate the difficulties in PCR acquisition, representation and deduction, both symbolic and connectionist methodologies are adopted to establish dual formulations for PCR development. Although these two methodologies are theoretically disparate, approaches based on specific rule extraction technique are proposed to coordinate the dual formulations and make them complementary in application. A case study of the proposed methodology for bicycle configuration is presented.
机译:大量混乱是由于大量定制交互过程中有吸引力但可能超载的选项而给客户带来的负担的隐喻。在过去的十年中已经揭示并讨论了这种大规模定制风险,并且大多数研究都集中在前端角色(即客户和销售人员)之间的交互行为的个性化。尽管前端的研究有助于提高客户的满意度,但是前端孤立的个性化不能很好地利用大量混乱的风险:客户和销售人员的大量参与也给他们的耐心,资质和专业知识带来了挑战。配置活动的响应能力。与大多数现有研究不同,该研究试图通过提出一种个性化配置规则(PCR)来将个性化工作从前端角色传播到后端配置知识。为了同时缓解PCR采集,表示和推论中的困难,采用符号和连接论方法论来建立PCR开发的双重配方。尽管这两种方法在理论上是完全不同的,但仍提出了基于特定规则提取技术的方法来协调对偶公式并使其在应用中具有互补性。提出了自行车配置方法的案例研究。

著录项

  • 来源
    《Expert systems with applications》 |2010年第1期|383-392|共10页
  • 作者

    Zhaoxun Chen; Liya Wang;

  • 作者单位

    Department of Industrial Engineering and logistics Management, School of Mechanical Engineering, Shanghai Jiao Tong University, No. 800 Dongchuan Road, 200240 Shanghai, China;

    Department of Industrial Engineering and logistics Management, School of Mechanical Engineering, Shanghai Jiao Tong University, No. 800 Dongchuan Road, 200240 Shanghai, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    product configuration; mass confusion; personaiization; neural network;

    机译:产品配置;群众混乱;个性化神经网络;
  • 入库时间 2022-08-17 13:33:07

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