Business Models for Commercializing Predictive Maintenance in the Context of Industrial Sustainability

Jean Paul Potthoff (), Christoph Tienken and Thomas Friedli
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Jean Paul Potthoff: University of St. Gallen
Christoph Tienken: University of St. Gallen
Thomas Friedli: University of St. Gallen

A chapter in Smart Services Summit, 2023, pp 163-170 from Springer

Abstract: Abstract As a digital technology, predictive maintenance (PdM) can contribute substantially to the necessary sustainable transformation of the manufacturing industry by maintaining assets more efficiently, increasing material and energy efficiency, and reducing associated waste. But as manufacturing companies struggle to implement sustainability, sustainable business models (SBM) for PdM might be a viable approach to systematically integrate sustainability. Hence the current PdM business models of manufacturing companies were analyzed by means of an exploratory case study. In a second step, elements of SBM that are already supported by today’s PdM business models, as well as respective gaps to be addressed in the future, were identified. This study concludes that many elements of SBMs are already supported today, but the main emphasis lies purely on the economic benefits, and ecological and social benefits are currently disregarded. To develop SBMs for PdM, ecological and social aspects need to be systematically evaluated and integrated.

Keywords: Predictive maintenance; Sustainability; Commercialization; Sustainable business model; Smart services (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-36698-7_17

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DOI: 10.1007/978-3-031-36698-7_17

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