Process Design for Digitally Assisted Location Selection for Sustainable Factories

Lecture notes in mechanical engineering, pp. 437–446

Abstract

Abstract Available locations for new factories and the suitability of these locations changes, especially due to climate change. Long-term consequences and high costs entailed by factory location selection become more difficult to predict. The decision process for factory location therefore becomes more complex, uncertain and time-consuming. We aim to develop a data-driven digital decision support application for factory location selection. This paper presents the process to be implemented in that system. We research and refine established processes to enable data-driven, objective and sustainable factory location selection. Finally, we give an outlook on the decision support system to be developed.

Authors 5

1. Günther Schuh Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany

2. Esben Schukat Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany

3. Siyuan Wang Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany

4. Felix Paßlick Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany

5. Carsten Engeln corresponding Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany