Manage risk of sustainable product–service systems: a case-based operations research approach

Xiaojun Wang, Xu Chen*, Christopher Durugbo, Ziming Cai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

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 languageEnglish
Pages (from-to)897-920
Number of pages24
JournalAnnals of Operations Research
Volume291
Issue number1-2
DOIs
Publication statusPublished - 1 Aug 2020
Externally publishedYes

Keywords

  • Multi-criteria decision-making
  • Product–service systems
  • Supply network risks
  • Sustainability

Fingerprint

Dive into the research topics of 'Manage risk of sustainable product–service systems: a case-based operations research approach'. Together they form a unique fingerprint.

Cite this