Effects of Product Personalization: Considering Personalizability in the Product Architecture of Modular Product Families

Author:

Vogt Juliane1,Woeller Lea-Nadine1,Krause Dieter2

Affiliation:

1. Hamburg University of Technology Institute of Product Development and Mechanical Engineering, , Hamburg 21075 , Germany

2. Hamburg University of Technology Institute of Product Development and Mechanical Engineering, , Hamburg 21073 , Germany

Abstract

Abstract The modularity of a product architecture with standard, variant, and optional modules can be measured by the characteristics of commonality and combinability. Positive and negative effects of a more communal or more combinable structure are summarized and visualized in an impact model. However, due to the megatrend of personalization, the solution space of a modular product architecture needs to be extended to include personalizable modules. What remains unclear till now is how personalization impacts the different life phases. Therefore, this article derives an impact model considering product personalization. First, the modularity property of personalizability is derived, in order to then specifically investigate the effects occurring in the different life phases. Therefore, a literature review is conducted. New effects are found, and the existing effects of commonality and combinability are examined for their validity for personalizability. The findings are then combined with the known effects of commonality and combinability to create a holistic impact model of modular product families. This new model takes personalizable modules into account and can support companies in defining the goals and focus of a modularization project.

Funder

Deutsche Forschungsgemeinschaft

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Supply Chain Oriented Product Design Optimization Decision Method Based on Improved CUR Matrix Decomposition;Journal of Advanced Computational Intelligence and Intelligent Informatics;2024-07-20

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