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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Journal ArticleDOI
Barriers to the adoption of green operational practices at Brazilian companies: effects on green and operational performance
Charbel José Chiappetta Jabbour,Ana Beatriz Lopes de Sousa Jabbour,Kannan Govindan,Thiago Pignatti de Freitas,Davi Fouad Soubihia,Devika Kannan,Hengky Latan +6 more
TL;DR: In this paper, a conceptual framework with 8 hypotheses is proposed and tested at 75 companies using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with WarpPLS 4.0.
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A PDCA-based approach to Environmental Value Stream Mapping (E-VSM)
TL;DR: The results of the case study indicate that the proposed PDCA-based approach to E-VSM can be an effective alternative to improve the green performance of operations and provides a guiding reference for operations managers who may want to make the operations of their organisations more sustainable and environmentally friendly.
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Probability Density of the Received Power in Mobile Networks
TL;DR: This paper derives probability density of the received power for mobile networks with random mobility models by considering the power received at an access point from a particular mobile node using Random Direction and Random way-point models.
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Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis
Somayeh Soheilirad,Kannan Govindan,Abbas Mardani,Edmundas Kazimieras Zavadskas,Mehrbakhsh Nilashi,Mehrbakhsh Nilashi,Norhayati Zakuan +6 more
TL;DR: Results of this review paper indicated that data envelopment analysis showed great promise to be a good evaluative tool for future evaluation on supply chain management, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire.
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Designing a sustainable supply chain network integrated with vehicle routing: A comparison of hybrid swarm intelligence metaheuristics
TL;DR: This paper models a distribution network in which the triple bottom lines of sustainability are captured, and three hybrid swarm intelligence techniques are proposed, and each is hybridized with variable neighborhood search (VNS).