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Business Models for Commercializing Predictive Maintenance in the Context of Industrial Sustainability
Journal
Progress in IS
Smart Services Summit
ISSN
2196-8705
2196-8713
ISBN
978-3-031-36697-0
Type
conference paper
Date Issued
2023-08-30
Author(s)
Editor(s)
Jürg Meierhofer
Shaun West
Thierry Buecheler
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.
Language
English
Keywords
Predictive maintenance
Sustainability
Commercialization
Sustainable business model
Smart services
HSG Classification
contribution to scientific community
Book title
Smart Services Summit - Smart Services Creating Sustainability
Publisher
Springer Nature Switzerland AG
Publisher place
Cham
Start page
163
End page
170
Pages
8
Division(s)