K
Kannan Govindan
Researcher at University of Southern Denmark
Publications - 369
Citations - 32959
Kannan Govindan is an academic researcher from University of Southern Denmark. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 83, co-authored 309 publications receiving 23633 citations. Previous affiliations of Kannan Govindan include Chinese Academy of Sciences & Universidade Federal de Santa Catarina.
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Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain
TL;DR: This study pioneers using the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy sets to handle the important and causal relationships between GSCM practices and performances to find the main practices to improve both environmental and economic performances.
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A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19).
TL;DR: For the first time, a practical decision support system based on physicians' knowledge and fuzzy inference system (FIS) is developed in order to help with the demand management in the healthcare supply chain, to reduce stress in the community, to break down the COVID-19 propagation chain, and, generally, to mitigate the epidemic outbreaks for Healthcare supply chain disruptions.
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Trust Computations and Trust Dynamics in Mobile Adhoc Networks: A Survey
TL;DR: A detailed survey on various trust computing approaches that are geared towards MANETs is presented, including trust propagation, prediction and aggregation algorithms, the influence of network dynamics on trust dynamics and the impact of trust on security services are analyzed.
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Application of fuzzy VIKOR for evaluation of green supply chain management practices
TL;DR: A quantitative evaluation model to measure the uncertainty of GSCM activities is developed and an approach based on Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method which is an extension of intuitionistic fuzzy environment aiming to solve the green multi-criteria decision making (GMCDM) problem is applied.
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Analysis of third party reverse logistics provider using interpretive structural modeling
TL;DR: In this paper, an Interpretive Structured Modeling (ISM) was used for identifying and summarizing relationships among specific attributes for selecting the best third party reverse logistics provider among the ‘ n ’ 3PRLPs.