Marco Taisch

Politecnico di Milano

Papers

10

Total Citations

90

H-Index

6

About

Marco Taisch is a prominent researcher specializing in advanced manufacturing systems, Industry 4.0, and cyber-physical production technologies. His work sits at the intersection of human-centered manufacturing, reconfigurable production systems, and digital automation, addressing the pressing challenges facing modern European and global industry. Taisch has made significant contributions through his involvement in the PERFoRM project, which developed harmonized, flexible, and reconfigurable cyber-physical systems capable of integrating emerging technologies such as the Internet of Things and Industrie 4.0 frameworks. His research explores how production systems can rapidly adapt to volatile market demands, shorter product lifecycles, and increasing product customization — problems central to contemporary manufacturing competitiveness. Among his notable achievements, Taisch has investigated human-robot collaboration, demonstrating how collaborative robots can capture and transfer expert knowledge to operators during new product introductions. His work on aggregate production planning using hybrid modeling and quantum-inspired evolutionary algorithms reflects his commitment to sophisticated computational approaches in manufacturing optimization. With cumulative citations across his most recognized publications, Taisch's research has meaningfully shaped discourse on smart manufacturing transitions, migration strategies toward digital automation, and KPI frameworks for reconfigurable systems. His body of work offers valuable guidance for researchers and industry practitioners navigating the evolving landscape of intelligent, human-centered production environments.

Research Focus

Key Achievements

6
H-Index
10
Papers
90
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Human-Centered Manufacturing Challenges Affecting European Industry 4.0 Enabling Technologies
24 citations · 2019
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Politecnico di Milano

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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