Papers

3

Total Citations

36

H-Index

2

About

Irina Ioachim’s research focuses on the optimization of robotic production systems, particularly through the lens of scheduling and cycle-time efficiency. Her major contributions lie in the analysis and modeling of robotic flow shops, where she developed foundational frameworks for evaluating productivity under repetitive robot move cycles. Her most cited work, "Schedule efficiency in a robotic production cell" (1995, 24 citations), examines the interplay between robot scheduling and cell throughput, offering insights into how identical or different parts can be processed efficiently. In her 2001 paper, "The Basic Cyclic Scheduling Model For Robotic Flow Shops" (10 citations), Ioachim formalized a cyclic scheduling model for cells with multiple machines and one or more robot arms, providing a rigorous method for cycle-time evaluation. This work is particularly notable for its practical relevance to manufacturing automation, helping engineers design more productive robotic cells. Though her citation counts are modest, Ioachim’s research is a cornerstone in the study of robotic scheduling, offering clear, actionable models that continue to inform both academic research and industrial applications in production optimization.

Research Focus

Key Achievements

2
H-Index
3
Papers
36
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Schedule efficiency in a robotic production cell
24 citations · 1995
📈 Most Prolific Year: 1995 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Group for Research in Decision Analysis, Delta Air Lines (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago