Peter Higgins

Queen's University Belfast

Papers

1

Total Citations

2

H-Index

1

About

Peter Higgins is a forward-thinking researcher in digital manufacturing and industrial engineering, with a focused expertise on the intersection of discrete event simulation, cost modeling, and digital twin technologies. His most-cited work, "Steps towards a Connected Digital Factory Cost Model" (2023, 2 citations), lays critical groundwork for integrating cost analysis into digital transformation frameworks—a gap that has long hindered the full realization of smart factory capabilities. By proposing a connected digital factory cost model, Higgins addresses the infancy of digital twin applications in manufacturing, offering a pathway to more accurate, real-time decision-making. While his citation count is still emerging, his contribution is notable for its practical relevance to Industry 4.0, particularly in bridging simulation and cost modeling to enhance factory efficiency. Higgins’ work is essential reading for researchers and practitioners seeking to move beyond isolated digital tools toward a truly integrated, cost-aware digital factory ecosystem.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Steps towards a Connected Digital Factory Cost Model
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Queen's University Belfast

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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