Abstract
Sustainable product–service systems (SusPSSs) offer an innovation-driven approach to production based on providing results or functions with minimal material use and emissions. Networks of SusPSSs partners are central to the decision-making of sustainability policies. Evaluations and assessments of network-oriented risks sources are therefore crucial to informing an industrial firm’s reorientation towards SusPSS. Traditionally, these risks beleaguer production and continue to grow in significance with complex production and innovation processes. This article presents a novel operations research application for evaluating network-oriented risks of industrial firms in pursuing SusPSSs. The model conceptualises a framework for network risk metrics and applies a fuzzy-based multi-criteria decision-making technique to evaluate levels of risk associated with reorientations to SusPSS approaches. It takes explicit account of multiple risk sources in aiding decision-making and assists in indicating strategies for improving business sustainability. In addition, it compares and ranks alternative SusPSSs as a system and on an indicator basis, which is a practical and effective decision support tool. A case study of an industrial firm is conducted to verify the effectiveness and applicability of the proposed approach in supporting firms’ decision on SusPSSs.
Original language | English |
---|---|
Pages (from-to) | 897-920 |
Number of pages | 24 |
Journal | Annals of Operations Research |
Volume | 291 |
Issue number | 1-2 |
DOIs | |
Publication status | Published - 1 Aug 2020 |
Bibliographical note
Funding Information:This research is partially supported by the National Natural Science Foundation of China (Nos. 71272128, 71432003, 91646109).
Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
Keywords
- Multi-criteria decision-making
- Product–service systems
- Supply network risks
- Sustainability
ASJC Scopus subject areas
- General Decision Sciences
- Management Science and Operations Research