Adaptation of high-variant automotive production system using a collaborative approach

1Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Automotive manufacturing systems are high investment assets in need of continuous upgrades and changes to remain relevant and effective. The complexity of such a system is reflected in the difficulty of making holistically informed decisions regarding the upgrades and changes. To reach holistic and sound decisions it is important to collaborate between departments, experts, and operational actors during the planning and development of upgrades and changes. Such collaboration should be supported by tools, models, and methods that facilitate understanding and enable the users to express their input and feedback in a clear and understandable manner. This chapter describes the development and evaluation of one set of tools. The developed tools combine 3D imaging and virtual reality technologies to facilitate the creation of decision support models that are accurate, realistic, and intuitive to understand. The developed tools are evaluated by industrial engineers in the area of manufacturing R&D.

Cite

CITATION STYLE

APA

Berglund, J., Gong, L., Sundström, H., & Johansson, B. (2017). Adaptation of high-variant automotive production system using a collaborative approach. In Dynamics of Long-Life Assets: From Technology Adaptation to Upgrading the Business Model (pp. 255–275). Springer International Publishing. https://doi.org/10.1007/978-3-319-45438-2_14

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free