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Elkafi Hassini

Researcher at McMaster University

Publications -  73
Citations -  4108

Elkafi Hassini is an academic researcher from McMaster University. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 18, co-authored 59 publications receiving 3228 citations. Previous affiliations of Elkafi Hassini include University of Waterloo.

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A literature review and a case study of sustainable supply chains with a focus on metrics

TL;DR: In this paper, the authors review the literature on sustainable supply chains during the last decade; 2000-2010; and provide frameworks for sustainable supply chain management and performance measures, and also provide a case study to illustrate the experience of a utility supply chain in setting performance indicators.
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Internet of things and supply chain management: a literature review

TL;DR: This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review and finds that most studies have focused on conceptualising the impact of IoT with limited analytical models and empirical studies.
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Supplier selection and order lot sizing modeling: A review

TL;DR: A literature review that covers the entire purchasing process, considers both parts and services outsourcing activities, and covers internet-based procurement environments such as electronic marketplaces auctions is presented.
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An interactive possibilistic programming approach for multiple objective supply chain master planning

TL;DR: In this article, a multi-objective possibilistic mixed integer linear programming model (MOPMILP) is proposed for integrating procurement, production and distribution planning considering various conflicting objectives simultaneously as well as the imprecise nature of some critical parameters such as market demands, cost/time coefficients and capacity levels.
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A data envelopment analysis approach to evaluate sustainability in supply chain networks

TL;DR: In this article, the authors focus on the evaluation of supply chain operations that maximize economic returns, minimize environment impacts, and meet social expectations, and develop a multi-stage data envelopment analysis model that is apt to evaluate the sustainability of a chain of business partners.