MATEC Web Conf.
Volume 223, 2018The 12th International Conference on Axiomatic Design (ICAD 2018)
|Number of page(s)||6|
|Published online||29 October 2018|
Exploring and Adapt! – Extending the Adapt! Method to Develop Reconfigurable Manufacturing Systems
Daimler AG, Process Development and Materials Department, 71059, Sindelfingen, Germany
2 HU University of Applied Science, Research Centre for Technology and Innovation, Utrecht, 3500AD, the Netherlands
3 Universität der Bundeswehr München, Institute for Technical Product Development, 85577, Neubiberg, Germany
* corresponding author: email@example.com
Automotive production is faced with the challenge of bringing new products to market faster, with decreasing turn-around times, meaning production must be continually changing to accommodate new products. This paper proposes an approach to decrease a product’s time-to-market, by increasing the efficiency of automotive assembly unit design. Providing designers with conceptual information about future vehicle models early in the product design process, could shift the design start forward and enable a more efficient transition process. Large automotive companies work on vehicle design and development for years before a product is ready for production. If during these earlier stages of product design, significant changes are identified and communicated to production designers, the manufacturing system design can get a jump start with an early exploration phase. A method exists, which uses the Axiomatic Design theory to develop Reconfigurable Manufacturing Systems through a modular breakdown. A similar method Adapt! employs Axiomatic Design and Scrum to develop changeable or adaptable production systems. This paper proposes to extend the Adapt! method to include an exploration phase, which through early communication, provides an overview of the required design process, and enables faster identification of the critical design challenges. A case study is performed by analysing a currently produced vehicle and its future electric version.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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