Future Alternatives for Automotive Configuration Management
Paper in proceedings, 2014

This research investigates the phenomenon of increasing cost that results from growing product complexity. To explore this phenomenon, interviews with ten senior managers and engineers with long experience in the automotive business were conducted at a car manufacturer. The interviewees agreed that configuring cars becomes more time-consuming and costly with increasing product complexity. In this paper we reason that there are upcoming solutions suitable for complex configurations. As a basis for this, we propose a distinction between limiting and managing product complexity, and stress that these approaches affect internal cost over time differently. If companies choose to limit complexity we suggest optimizing configuration rules, reducing variants or both. Conversely, we propose and contrast two different configuration strategies for managing complexity, 1) the Modular approach, and 2) the Configurable Component (CC) approach. The Modular approach may limit the ability to change. However, only few changes in manufacturing systems are needed. The CC approach is a long-term fully flexible configuration approach prepared for changes. As a drawback, the CC approach may involve high fixed costs due to the need for suitable manufacturing systems. We conclude that both the Modular approach and the CC approach are feasible for managing complexity. In a long-term perspective, it might be necessary to be able to prepare for change and reduce internal cost over time. The choice of limiting or managing complexity might therefore be a demarcation of future competitiveness.

Modular Platform

Product Complexity

Flexible Product Architecture

Configuration

Internal Cost

Author

Jonas Landahl

Chalmers, Product and Production Development, Product Development

Dag Henrik Bergsjö

Chalmers, Product and Production Development, Product Development

Hans L Johannesson

Chalmers, Product and Production Development, Product Development

Procedia Computer Science

18770509 (ISSN)

Vol. 28 103-110

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Mechanical Engineering

Areas of Advance

Production

DOI

10.1016/j.procs.2014.03.014

More information

Created

10/8/2017