Design model for the calculation of product-service systems in single and small batch production
Final Report Abstract
As a result of the climate crisis and increased environmental awareness in society, a new understanding of productivity with increasing product sustainability is emerging among manufacturing companies. Product service systems (PPS) as customer-specific problem solutions with tangible and intangible services offer greater product sustainability, as they enable sustainable product use and product life extension. The requirements-based calculation of individual PSS is essential for economic success, but poses a particular challenge for companies involved in single and small series production, as they have little experience due to a low number of repeat products. One means of increasing the efficiency and effectiveness of calculation is digital networking. The use of information and communication technology along the value chain creates comprehensive data transparency. This must be used for a data-driven calculation of PSS. The analysis and evaluation of existing scientific approaches shows that there is currently no holistic approach to the data-driven calculation of sustainable PSS in single and small series production. The aim of the research project can be derived from this. To address the project objective, a design model was developed, which is divided into five elements: data structure model, life cycle cost design, cross-order cost transparency, cost decreasing measures and cost knowledge management. The data structure model includes systematically organized and structured order processing data that is relevant for calculating PSS. The life cycle cost design enables single and small series manufacturers to configure PSS. This allows the identification of configuration-specific cost trends in order to reduce the life cycle costs of a PSS. The crossorder cost transparency supports individual and small series manufacturers in identifying potential cost savings that are independent of customer-specific order processing. Cost decreasing measures include the output of cost-relevant information to employees along the product life cycle, as well as the feedback of such information by employees to increase cost transparency. Cost knowledge management focuses on behavioral aspects at company and employee level for dealing with cost-relevant knowledge for the appropriate use of information and communication technology for data-driven calculation. The design model developed and validated in the research project enables companies in single and small series production to use the potential of digital networking to calculate sustainable PSS. The cost transparency created ensures the economic success of PSS and consequently the increase in product sustainability.
Publications
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Data-Based Performance Evaluation of an Industrial Sector. Lecture Notes in Production Engineering, 621-630. Springer International Publishing.
Trisjono, J.; Boshof, J.; Kelzenberg, C. & Schuh, G.
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Digital unterstützte Standzeitoptimierung – an den richtigen Stellschrauben zur Gesamtkostenreduzierung drehen, In: massivUMFORMUNG (September 2021), 2021, S. 23-26.
Boos, W.; Kelzenberg, C.; Boshof, J. & Frey, C.
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Total-Cost-of-Ownership-Betrachtung. In: BLECH, Jahrgang. 30 (08/2021), 2021, S. 50-51.
Boos, W.; Kelzenberg, C.; Ebbecke, C. & Frey, C.
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Operationalisierung von digitalen Schatten im Werkzeugbau. Dissertation RWTH Aachen, Aachen, 2022.
Graberg, T.
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Standzeitoptimierung bei Blechverarbeitungswerkzeugen. In: BLECH. Das Fachmagazin für die Bearbeitung von Blechen, Rohren und Profilen, Jahrgang. 31 (02/2022), 2022, S. 50-51.
Boos, W.; Kelzenberg, C.; Ebbecke, C. & Haase, B.
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Calculation of product service systems in single and small batch production. Journal of Revenue and Pricing Management, 24(1), 43-49.
Schuh, Günther; Lukas, Gerret; Schweins, Julian; Trisjono, Julian & Frank, Julius
