Fuzzy Logic Approach to Circular Economy Maturity Assessment of Manufacturing Companies

Abstract

The transition from linear to circular value creation is leading to a fundamental transformation in all areas of manufacturing organisations. Maturity models are used to analyse and support the transformation, but these have deficiencies regarding holism and the ability to process fuzziness. To address these deficiencies, a holistic Fuzzy Logic approach to Circular Economy maturity assessment is proposed. Circular Economy maturity indicators are processed in a multi-stage fuzzy system. This allows for the identification of potential for change in all areas of the organisation to derive actions to improve the organisation’s circularity.

Authors 3

1. Dennis Kreutzer corresponding Aachen Laboratory for Machine Tools and Production Engineering (WZL) Chair of Intelligence in Quality Sensing

   RWTH Aachen University

   Affiliation as printed

   Chair of Intelligence in Quality Sensing (IQS), Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany

2. Esther Borowski Aachen Laboratory for Machine Tools and Production Engineering (WZL) Chair of Intelligence in Quality Sensing

   RWTH Aachen University

   Affiliation as printed

   Chair of Intelligence in Quality Sensing (IQS), Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany

3. Ingrid Isenhardt Aachen Laboratory for Machine Tools and Production Engineering (WZL) Chair of Intelligence in Quality Sensing

   RWTH Aachen University

   Affiliation as printed

   Chair of Intelligence in Quality Sensing (IQS), Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany