TY - JOUR
T1 - An effective uncertainty based framework for sustainable industrial product-service system transformation
AU - Erkoyuncu, John Ahmet
AU - Roy, Rajkumar
AU - Shehab, Essam
AU - Durugbo, Christopher
AU - Khan, Samir
AU - Datta, Partha
N1 - Funding Information:
The authors would like to acknowledge the contributions made by the collaborating organisations. This research was partially supported by the Engineering and Physical Sciences Research Council (EPSRC), United Kingdom (UK) through the Centre for Innovative Manufacturing – Through-life Engineering Services. Grant number EP/1033246/1. The core members of the Centre include Ministry of Defence, BAE Systems, Bombardier Transportation and Rolls Royce and Babcock International. Data underlying this study can be accessed through the Cranfield University repository at https://doi.org/10.17862/cranfield.rd.7182446.
Funding Information:
The authors would like to acknowledge the contributions made by the collaborating organisations. This research was partially supported by the Engineering and Physical Sciences Research Council (EPSRC), United Kingdom (UK) through the Centre for Innovative Manufacturing – Through-life Engineering Services. Grant number EP/1033246/1 . The core members of the Centre include Ministry of Defence, BAE Systems, Bombardier Transportation and Rolls Royce and Babcock International. Data underlying this study can be accessed through the Cranfield University repository at https://doi.org/10.17862/cranfield.rd.7182446.
Publisher Copyright:
© 2018 The Authors
PY - 2019/1/20
Y1 - 2019/1/20
N2 - Industrial Product-Service Systems (IPS2) can provide insights to enhance the environmental sustainability and lower environmental impact. However, its successful realisation for preventing the production of waste, while increasing efficiencies in the uses of energy and human capital remains a highly convoluted problem. This research article aims to address this issue by presenting an innovative uncertainty-based framework that can be used to assist in achieving increased sustainability within the context of IPS2. The developed framework explains the drivers for decision-making and cost to enable sustainability improvements in transforming to industrial services. This is based on academic literature, and multiple case studies of seven industrial companies with over 30 h of semi-structured interviews. The validation of the framework through two case studies demonstrates that uncertainty management can enable resource efficiency and offer sustainable transformation to service provision.
AB - Industrial Product-Service Systems (IPS2) can provide insights to enhance the environmental sustainability and lower environmental impact. However, its successful realisation for preventing the production of waste, while increasing efficiencies in the uses of energy and human capital remains a highly convoluted problem. This research article aims to address this issue by presenting an innovative uncertainty-based framework that can be used to assist in achieving increased sustainability within the context of IPS2. The developed framework explains the drivers for decision-making and cost to enable sustainability improvements in transforming to industrial services. This is based on academic literature, and multiple case studies of seven industrial companies with over 30 h of semi-structured interviews. The validation of the framework through two case studies demonstrates that uncertainty management can enable resource efficiency and offer sustainable transformation to service provision.
KW - Contracts
KW - Industrial services
KW - Sustainability
KW - Transformation
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85055972576&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2018.09.182
DO - 10.1016/j.jclepro.2018.09.182
M3 - Article
AN - SCOPUS:85055972576
SN - 0959-6526
VL - 208
SP - 160
EP - 177
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -
