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Fuzzy multicriteria analysis for performance evaluation of internet-of-things-based supply chains

journal contribution
posted on 07.05.2019, 00:00 by Santoso WibowoSantoso Wibowo, Srimannarayana GrandhiSrimannarayana Grandhi
This paper presents a fuzzy multicriteria analysis model for evaluating the performance of Internet of Things (IoT)-based supply chains. The inherent uncertainty and imprecision of the performance evaluation process was handled by using intuitionistic fuzzy numbers. A new fuzzy multicriteria group decision making algorithm based on the technique ordered preference by similarity to the ideal solution (TOPSIS) approach, and the concept of similarity measures was developed for determining the overall performance of each alternative. The advantage of the proposed fuzzy multicriteria analysis model is that it can overcome the limitations of the existing approaches in an intuitionistic fuzzy environment. The fuzzy multicriteria group decision-making model provides organizations with the ability to evaluate the performance of their IoT-based supply chains for improving their competitiveness. An example is presented to highlight the usefulness of the proposed model for tackling a real world IoT performance evaluation problem. © 2018 by the authors.

History

Volume

10

Issue

11

Start Page

1

End Page

14

Number of Pages

14

eISSN

2073-8994

Publisher

MDPI AG, Switzerland

Additional Rights

CC BY 4.0

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

04/11/2018

Era Eligible

Yes

Journal

Symmetry