A
Alexandre Dolgui
Researcher at Centre national de la recherche scientifique
Publications - 623
Citations - 18796
Alexandre Dolgui is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 57, co-authored 574 publications receiving 12944 citations. Previous affiliations of Alexandre Dolgui include Mines Saint-Etienne & Saint Petersburg State University.
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The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
TL;DR: This paper analyses recent literature and case-studies seeking to bring the discussion further with the help of a conceptual framework for researching the relationships between digitalisation and SC disruptions risks and emerges with an SC risk analytics framework.
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Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak
Dmitry Ivanov,Alexandre Dolgui +1 more
TL;DR: An intertwined supply network (ISN) is an entirety of interconnected supply chains (SC) which, in their integrity secure the provision of society and markets with goods and services.
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A taxonomy of line balancing problems and their solutionapproaches
Olga Battaïa,Alexandre Dolgui +1 more
TL;DR: The objective of this survey is to analyze recent research on balancing flow lines within many different industrial contexts in order to classify and compare the means for input data modelling, constraints and objective functions used.
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Review of quantitative methods for supply chain resilience analysis
TL;DR: This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity.
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A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0
Dmitry Ivanov,Alexandre Dolgui +1 more
TL;DR: In this article, the authors introduce the notion of a digital supply chain twin, a computerized model that represents network states for any given moment in real time, and explore the conditions surrounding the design an...