A methodology to assess cost implications of automotive customization

This thesis focuses on determining the cost of customization for different components or groups of components of a car. It offers a methodology to estimate the manufacturing cost of a complex system such as a car. This methodology includes specific consideration of how costs change as customized variants of each component or grouping of parts are included. The central conclusion of the thesis is some recommendations for the automakers when they are facing customization decisions. The automotive industry has reached a mature state, as is evidenced by its growth and by the nature of competition and industry consolidation. Consumers are no longer satisfied with the models that are not individualized and demand a greater variety and individuality. Consequently the automakers are moving towards custom-made cars by customizing the shape and style of components; and this at a certain price. While product variety enables the firm to charge higher prices, automotive customization means also producing at lower production volumes, thereby increasing manufacturing costs and eroding profits. Understanding the cost of customization depends heavily on component cost structures. It is considered that this cost is equal to the difference between the price of a baseline and customized product. A methodology, called Systems Cost Modeling (SCM), is developed in the thesis to build cost structures when estimates for a large number of components have to be considered. After gathering detailed empirical data and considering the eventual changes in the processing conditions of all parts due to customization, the tooling and equipment investment as well as the labor and energy cost are estimated for both the standard and customized car.

Department dc:contributor.department

Massachusetts Institute of Technology. Technology and Policy Program.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2005

Author dc:creator

• Fournier, Laëtitia

Advisor dc:contributor.advisor

• Richard Roth and Joel P. Clark.

• Technology and Policy Program.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/32280

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/32280