Analysing network uncertainty for industrial product-service delivery: A hybrid fuzzy approach

Communicating supply chain risks and mitigation strategies: a comprehensive framework

“…In their study, there is no systematic approach to identify supply chain risks, and instead quantifying of probability and severity of risk, the score for the risk types is estimated through calculating their proximity to the ideal value. Wang and Durugbo (2013) applied fuzzy TOPSIS to evaluate alternative solutions through analysing network uncertainty for industrial product-service delivery. The main focus of their study is centred on evaluating the uncertainty of service networks that deliver an industrial product-service system but not how to communicate the assessment of supply chain risks and the evaluation of risk mitigation strategies, which is the focus of this research.…”

“…It is capable of capturing the vagueness of uncertainty in the evaluation of alternative risk mitigation strategies and provides the efficiency in the decision-making (Büyüközkan and Çifçi 2012;Samedi et al 2013;Wang 2015). Following the sources of Wang and Durugbo (2013) and Wang (2015), the mathematical steps involved in the fuzzy TOPSIS method are described Appendix 2.…”

An integrated fuzzy approach for evaluating remanufacturing alternatives of a product design

“…Now, the difference distances of each of the alternatives (d k + and d k − ) can be calculated as in Equations 22,23,24. Finally, combining the difference distances, the relative closeness index for each alternative can be obtained.…”

“…Despite its popularity and simplicity in concept, TOPSIS is often criticized for its inability to deal with uncertainty and imprecision inherent in the process of mapping the perceptions of experts [23]. To address the limitation, scholars have made use of fuzzy TOPSIS (combination of fuzzy logic with TOPSIS) for expert systems in areas such as plant location selection [21], supplier selection and evaluation [20], analysis of network uncertainty [24] and assessment of green supply chain initiatives [25]. Fuzzy hierarchical TOPSIS will benefit from both the superiority of the hierarchical structure and easiness of implementation of TOPSIS in a fuzzy environment.…”

Managing Partnership Uncertainty for Sustainable Services: A Conceptual Model

“…strategic partnerships that share common visions of delivery systems for sustainable services (e.g. [10], [11], [12] and [13]). These partnerships focus on multi-level communications and complex relationships among platform providers, other providers that are needed to complete the system, as well as intermediate-and end-users of the system.…”