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Alain Martel

Researcher at Laval University

Publications -  85
Citations -  6239

Alain Martel is an academic researcher from Laval University. The author has contributed to research in topics: Supply chain & Time horizon. The author has an hindex of 30, co-authored 85 publications receiving 5948 citations. Previous affiliations of Alain Martel include KEDGE Business School & University of Birmingham.

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Circulating microRNAs in sera correlate with soluble biomarkers of immune activation but do not predict mortality in ART treated individuals with HIV-1 infection : a case control study

Daniel D Murray, +1489 more
- 14 Oct 2015 - 
TL;DR: No associations with mortality were found with any circulating miRNAs studied and these results cast doubt onto the effectiveness of circulating miRNA as early predictors of mortality or the major underlying diseases that contribute to mortality in participants treated for HIV-1 infection.
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The Design of Robust Value-Creating Supply Chain Networks: A Critical Review †

TL;DR: This paper argues for the assessment of SCN robustness as a necessary condition to ensure sustainable value creation and contributes to framing the foundations for a robust SCN design methodology.
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Scenario-based Supply Chain Network risk modeling

TL;DR: A risk modeling approach to facilitate the evaluation and the design of Supply Chain Networks (SCNs) operating under uncertainty is provided and how it can be used to obtain resilient SCNs under disruptions is demonstrated.
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Designing logistics networks in divergent process industries: A methodology and its application to the lumber industry

TL;DR: A generic methodology to design the production-distribution network of divergent process industry companies in a multinational context using a mathematical programming model to maximize global after tax profit in a predetermined currency is presented.
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Modeling approaches for the design of resilient supply networks under disruptions

TL;DR: This paper studies various modeling approaches to design resilient supply networks for the location–transportation problem under uncertainty, and proposes several stochastic programming models incorporating alternative resilience seeking formulations.