Affiliation:
1. Institute for Machine Tools and Industrial Management, Technical University of Munich, Boltzmannstr. 15, 85748 Garching near Munich, Germany
2. Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Abstract
Manufacturing companies face severe challenges from rapid technological developments. Industry 5.0 indicates the need for a sustainable, human-centered, and resilient industry. In striving for transformation, innovation becomes critical. However, a careful allocation of resources implies the evaluation of innovation projects. Moreover, diverse types of innovation and limited amounts of information represent a significant challenge. Therefore, this contribution presents an approach for holistically assessing innovation in manufacturing. First, a systematic literature review (SLR) was conducted to frame the current research state and identify assessment criteria. Second, a multiple-attribute decision-making method (MADM) was developed using the findings of the SLR and expert interviews. Finally, the criteria and the assessment approach were verified and validated by expert interviews, a workshop, and an industrial use case application. As the main findings, three criteria groups were derived and detailed: potentials, efforts, and risks. These criteria groups were used in a MADM approach incorporating Fuzzy set theory within a hybrid technique, combining the Analytical Hierarchical Process with the Technique for Order Preference by Similarity to Ideal Solutions. In conclusion, an enhancement of innovation assessment in manufacturing was achieved through the integration of different criteria and the balance between complexity and industrial applicability.
Funder
German Research Foundation
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
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