His main research concerns Supply chain, Risk analysis, Mathematical optimization, Supply chain engineering and Operations research. His research in Supply chain intersects with topics in Industry 4.0, Scheduling, Ripple effect and Resilience. His work carried out in the field of Risk analysis brings together such families of science as Enterprise risk management, Marketing, Service level and Systems engineering.
His Mathematical optimization research is multidisciplinary, relying on both Probability distribution, Workstation and Random variable. His Supply chain engineering course of study focuses on Manufacturing engineering and Dynamic pricing and Outsourcing. His work deals with themes such as Supply and demand, Microeconomics, Profit, Nash equilibrium and Mathematical model, which intersect with Operations research.
His primary scientific interests are in Mathematical optimization, Supply chain, Machining, Operations research and Lead time. His Mathematical optimization study combines topics from a wide range of disciplines, such as Workstation, Set and Transfer line. His Supply chain research is multidisciplinary, incorporating perspectives in Risk analysis, Ripple effect and Resilience.
His Machining research includes themes of Transfer, Manufacturing engineering and Engineering drawing. Operations research and Production are commonly linked in his work. The study incorporates disciplines such as Supply planning, Component and Inventory control in addition to Lead time.
Alexandre Dolgui mainly investigates Supply chain, Mathematical optimization, Risk analysis, Resilience and Production. His Supply chain research includes elements of Industry 4.0 and Ripple effect. His studies deal with areas such as Lead time and Component as well as Mathematical optimization.
His Risk analysis study integrates concerns from other disciplines, such as Disruption risk and Risk analysis. His studies in Resilience integrate themes in fields like Supply chain resilience and Control reconfiguration. His Production study incorporates themes from Multi-objective optimization, Manufacturing engineering and Line.
His primary scientific interests are in Supply chain, Risk analysis, Industry 4.0, Supply chain risk management and Ripple effect. His work in the fields of Supply chain engineering, Supply chain resilience and Supply chain management overlaps with other areas such as Ripple. His study in Risk analysis is interdisciplinary in nature, drawing from both Disruption risk and Risk aversion.
Alexandre Dolgui interconnects Optimal control, Scheduling, Operations management, Control and Analytics in the investigation of issues within Industry 4.0. His Downstream study also includes
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A taxonomy of line balancing problems and their solutionapproaches
Olga Battaïa;Alexandre Dolgui.
International Journal of Production Economics (2013)
A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0
Dmitry Ivanov;Alexandre Dolgui;Boris Sokolov;Frank Werner.
International Journal of Production Research (2016)
A stochastic model for operating room planning with elective and emergency demand for surgery
Mehdi Lamiri;Xiaolan Xie;Alexandre Dolgui;Frédéric Grimaud.
European Journal of Operational Research (2008)
The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
Dmitry A. Ivanov;Alexandre Dolgui;Boris V. Sokolov.
International Journal of Production Research (2019)
State of art of optimization methods for assembly line design
Brahim Rekiek;Alexandre Dolgui;Alain Delchambre;Antoneta Iuliana Bratcu.
Annual Reviews in Control (2002)
The Ripple effect in supply chains: trade-off 'efficiency-flexibility-resilience' in disruption management
Dmitry Ivanov;Boris Sokolov;Alexandre Dolgui.
International Journal of Production Research (2014)
Supply Chain Engineering: Useful Methods and Techniques
Alexandre Dolgui;Jean-Marie Proth.
(2010)
Ripple effect in the supply chain: an analysis and recent literature
Alexandre Dolgui;Dmitry A. Ivanov;Boris V. Sokolov.
International Journal of Production Research (2018)
Literature review on disruption recovery in the supply chain
Dmitry A. Ivanov;Alexandre Dolgui;Boris V. Sokolov;Marina Ivanova.
International Journal of Production Research (2017)
Supply planning under uncertainties in MRP environments: A state of the art
Alexandre Dolgui;Caroline Prodhon.
Annual Reviews in Control (2007)
Profile was last updated on December 6th, 2021.
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