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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Quantity and collection decisions in a closed-loop supply chain with technology licensing
TL;DR: This work considers a manufacturer, as the patent holder, who produces new and remanufactured products and, simultaneously, he and a remanufacturer (as the licensee), competitively collects used products from the market in a two-period closed-loop supply chain (CLSC).
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A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis
TL;DR: This review study aims to investigate the studies in the area of RL&CLSCM published in IJPR from 2000 until July 2017 by presenting a thorough bibliometric and content analysis of 94 studies.
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Barriers in green lean six sigma product development process: an ISM approach
TL;DR: In this article, an attempt has been made to address barriers in GLS product development (GLSPD) from an extensive literature review and from experts' opinions towards developing a hierarchical model structuring these barriers.
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Sustainable material selection for construction industry – A hybrid multi criteria decision making approach
TL;DR: In this article, the authors proposed a model to evaluate the best sustainable construction material based on sustainable indicators through a hybrid multi criteria decision making (MCDM) methodology with a specific examination of the UAE.
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An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty
TL;DR: A hybrid approach of fuzzy analysis network process, fuzzy decision-making trial and evaluation laboratory, and multi-objective mixed-integer linear programming models are developed for circular supplier selection and order allocation in a multi-product circular closed-loop supply chain (C-CLSC).