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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Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles
TL;DR: Examination of the resilient sustainable reverse logistics network process for end-of-life vehicles (ELVs) in Iran shows that cost savings for organizations are achieved through optimal planning of the centers' capacity to save cost, increase services, and ensure effective government response to cost-effective and instrumental market competition.
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Drivers and value-relevance of CSR performance in the logistics sector: A cross-country firm-level investigation
TL;DR: In this article, the authors explore the drivers and value-relevance of corporate social responsibility performance in the logistics sector by particularly focusing on board characteristics and ownership structure, and find that board gender diversity is positively associated with overall corporate socially responsibility performance and governance performance.
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In search for classification and selection of spare parts suitable for additive manufacturing: a literature review
Casper Selmer Frandsen,Martin Mathias Nielsen,Atanu Chaudhuri,Jayanth Jayaram,Kannan Govindan +4 more
TL;DR: There is limited research that addresses identifying processes for spare parts selection for AM, even though companies have identified this to be a key challenge in adopting AM, and seven areas for future research are identified.
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Terminal appointment system design by non-stationary M(t)/Ek/c(t) queueing model and genetic algorithm
TL;DR: The concept of DTAS is proposed, which is much easier to apply and can assist individual trucker in making appointment by providing real-time estimation of waiting time based on existing appointments, and reveals DTAS can significantly increase the system flexibility.
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Exploring the impact of dynamic capabilities on sustainable supply chain firm's performance using Grey-Analytical Hierarchy Process
TL;DR: In this article, the impact of dynamic capabilities (DCs) on a firm's performance is explored by offering a review of literature to identify the various associated DCs and performance measures of a firm cited in peer reviewed journals.