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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An integrated model to assess the leanness and agility of the automotive industry
TL;DR: In this article, the authors propose an index to assess the agility and leanness of individual companies and the corresponding supply chain, named Agilean, which is obtained from a set of Agile and Lean supply chain practices integrated in an assessment model.
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Evaluation of barriers of corporate social responsibility using an analytical hierarchy process under a fuzzy environment - A textile case
TL;DR: In this article, the authors reveal the factors that are resisting the implementation of CSR in the textiles industry with the assistance of a proposed model, and this model is validated with a case industry situated in southern India.
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Competitive closed-loop supply chain network design with price-dependent demands
TL;DR: A bi-level model for the strategic reverse network design (upper level) and tactical/operational planning (lower level) of a closed-loop single-period supply chain operating in a competitive environment with price-dependent market demand is presented.
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Analysing green supply chain management practices in Brazil’s electrical/electronics industry using interpretive structural modelling
Kannan Govindan,Devika Kannan,K. Mathiyazhagan,Ana Beatriz Lopes de Sousa Jabbour,Charbel José Chiappetta Jabbour +4 more
TL;DR: In this paper, the authors identify the relationship of driving and dependence that exists between green supply chain management practices with regard to their adoption within Brazilian electrical/electronic industry with the help of interpretive structural modelling.
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Greenways for rural sustainable development: An integration between geographic information systems and group analytic hierarchy process
Giovanni Ottomano Palmisano,Giovanni Ottomano Palmisano,Kannan Govindan,Rosa Viviana Loisi,Pasquale Dal Sasso,Rocco Roma +5 more
TL;DR: In this paper, a decision-making framework consisting of a Multiple Criteria Spatial Decision Support System (MC-SDSS) that integrates a Geographic Information System (GIS) with the multiple criterion decision-aiding (MCDA) technique "Group Analytic Hierarchy Process" (GAHP).