Designing Complex Organizations
Designing Complex Organizations
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
A Structural Approach to Measuring Uncertainty in Supply Chains
International Journal of Electronic Commerce
Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry
Expert Systems with Applications: An International Journal
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Computers and Industrial Engineering
A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain
Expert Systems with Applications: An International Journal
A systematic decision-making approach for the optimal product-service system planning
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Improved hierarchical fuzzy TOPSIS for road safety performance evaluation
Knowledge-Based Systems
Hi-index | 12.05 |
More and more manufacturers are transitioning from product-focused operations towards global service-oriented operations through approaches such as an industrial product-service system (IPS^2). These systems deliver a blend of goods, equipment and services for improved value/revenue streams and there is a need to leverage the knowledge of domain experts in evaluating the uncertainties of IPS^2 adoption. Along these lines, this article proposes a hybrid fuzzy methodology that leverages the knowledge of domain experts for evaluating the uncertainty of service networks that deliver an IPS^2. The proposed methodology conceptualises a framework of network uncertainty metrics and applies a set of fuzzy-based techniques (fuzzy Delphi, fuzzy Analytical Hierarchy Process (fuzzy AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS)) to evaluate levels of fuzziness for transitions from traditional product-focused operations towards service-oriented operations. The applicability of the proposed methodology is demonstrated through a case study of a stainless steel manufacturer and the limitations and generalisation potentials of the research are used to highlight future research challenges for service-oriented uncertainty evaluation.