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Nadia Lehoux

Researcher at Laval University

Publications -  57
Citations -  858

Nadia Lehoux is an academic researcher from Laval University. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 12, co-authored 43 publications receiving 633 citations.

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A framework for an efficient implementation of logistics collaborations

TL;DR: This article explains how efficiently build and manage inter-firms relationships and proposes five coordination mechanisms that contribute to ensure information sharing, the coordination of logistics activities and the share of benefits.
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Inter-firm collaborations and supply chain coordination: review of key elements and case study

TL;DR: In this paper, the authors present a case study of collaboration in the forest industry that shows the benefits of implementing coordination mechanisms as well as the necessity of using incentives to better share these benefits.
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Two-echelon pharmaceutical reverse supply chain coordination with customers incentives

TL;DR: In this paper, the authors explore the role of providing incentives to customers in order to facilitate leftover returns and improve the sustainability for a real pharmaceutical reverse supply chain (RSC), and investigate the effect of having a proper coordination method between a producer of medications and third-party logistics (3PL) companies, responsible for collecting unwanted medications from customer zones.
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Coordinating a green reverse supply chain in pharmaceutical sector by negotiation

TL;DR: This paper investigates the pharmaceutical reverse supply chain and proposes a coordination model for a real pharmaceutical RSC using a Lagrangian relaxation method, and a bonus sharing technique is proposed based on each entity's investment in the coordination process.
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Main Motivations and Barriers for Using Wood in Multi-Story and Non-Residential Construction Projects

TL;DR: In this article, the main motivations and barriers to wood adoption for structural uses in non-residential buildings are highlighted, based on an analysis of grey literature concerning some well-known buildings and on scientific literature.