Papers

9

Total Citations

141

H-Index

6

About

Paul-Eric Dossou is a prominent researcher specializing in Industry 4.0, supply chain optimization, lean manufacturing, and enterprise modeling. His work sits at the intersection of digital transformation and industrial performance, with a particular focus on helping companies navigate the challenges of globalization and evolving customer demands. Dossou's most influential contribution, "Industry 4.0 concepts and lean manufacturing implementation for optimizing a company logistics flows" (2022, 38 citations), demonstrates how automated processes and flexible production systems can dramatically improve manufacturing performance. His 2017 paper "Modeling Supply Chain Performance" (31 citations) introduced application of GRAI methodology to Supply Chain 4.0, while his 2019 framework for implementing Industry 4.0 (28 citations) provides practical guidance for companies seeking competitive advantage in uncertain global markets. Beyond systems modeling, Dossou has expanded his research into human-machine collaboration, robotic programming support, and computer vision applications for SMEs, reflecting a growing interest in making advanced technologies accessible to smaller enterprises. His more recent explorations into archaeological robotics suggest an exciting interdisciplinary trajectory. With nearly 140 total citations across his portfolio, Dossou's work offers both theoretical rigor and actionable insight for researchers and practitioners working to modernize industrial operations.

Research Focus

Key Achievements

6
H-Index
9
Papers
141
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Industry 4.0 concepts and lean manufacturing implementation for optimizing a company logistics flows
38 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Université Gustave Eiffel, Institut Catholique d'Arts et Métiers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago