Papers
15
Total Citations
446
H-Index
9
About
Milind Dawande is a distinguished operations researcher whose work centers on the scheduling, optimization, and throughput maximization of robotic manufacturing systems, with particular emphasis on semiconductor wafer fabrication. His research has made foundational contributions to understanding how robotic cells—automated systems using single- and dual-gripper robots to move parts through sequential processing stages—can be optimally scheduled to maximize productivity. Dawande's most influential work, "Throughput Optimization in Robotic Cells" (2007, 117 citations), helped establish rigorous frameworks for analyzing cyclic scheduling problems in bufferless robotic environments. He has systematically extended these foundations to increasingly complex settings, including dual-gripper robots, parallel machines, interval robotic cells, and cluster tools used in semiconductor manufacturing processes such as etching and chemical vapor deposition. His research demonstrates that cyclic solutions dominate optimal scheduling strategies, a theoretically and practically significant result. Beyond scheduling algorithms, Dawande has explored the quantifiable relationship between manufacturing layout and productivity, addressing a gap that practitioners often approximate poorly. With a body of work accumulating hundreds of citations, his research bridges rigorous mathematical optimization and real-world industrial application, making him an essential reference for researchers and engineers working at the intersection of operations research and advanced manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Throughput Optimization in Robotic Cells117 citations · 2007
- 2Throughput optimization in dual-gripper interval robotic cells53 citations · 2009
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- 4Approximation algorithms for k-unit cyclic solutions in robotic cells46 citations · 2003
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