Session: DTM-01-01 - New Models, Constructs, and Explanations in DTM

Paper Number: 88463

88463 - Identifying Potentials of Product Personalization 

Adapting components and modules within the context of product personalization promises exact fulfillment of individual customer requirements. However, personalization should only be used where it is valuable and manageable. The design of product architectures with personalizable modules has so far received little methodological support. Therefore, a method for personalization-oriented product design is to be developed in the long term. In a first step, it is important to systematically derive options for personalization, which can then be examined in terms of value and workload. A systematic approach helps not only to identify the obvious aspects in the product family, but also to go deeper into the product family.
The aim of this paper is to identify indicators that promote personalization. Additionally, it will be presented how these indications could be investigated for a product family. Based on research on variety options in the literature and a comprehensive analysis of product families where personalization is already applied, indicators are derived. Personalization is particularly relevant where fit and appearance play a role. Surrounding objects of the product family are identified and analyzed in order to determine fit-relevant product properties. Components related to the appearance are identified by analyzing the components relation to the human senses.

Presenting Author: Juliane Kuhl Hamburg University of Technology

Presenting Author Biography: Juliane Kuhl is a scientific researcher and PhD student at the Hamburg technical university. There she works at the Institute of Product Development and Mechanical Engineering Design. She is working intensively on the topic of methodical product development and is particularly interested in the area of modularization and variety management, especially with regard to product personalization.

Authors:

Juliane Kuhl Hamburg University of Technology
Dieter Krause Hamburg University of Technology