Indra Gunawan
Papers
2
Total Citations
39
H-Index
2
About
Indra Gunawan is a researcher specializing in intelligent manufacturing systems, robotic cell scheduling, and optimization of automated production environments. His work addresses some of the most challenging computational and operational problems encountered in modern industrial robotics, with a particular focus on maximizing throughput and ensuring operational reliability in complex workcell configurations. Among his most notable contributions is his development of methodologies to optimize the production rate of multifunction robots (MFRs) operating within rotationally arranged robotic cells, as presented in his 2015 study on feasibility and optimality conditions for small-scale multifunction robotic cell scheduling — a work that has accumulated 26 citations and remains a key reference in the field. Gunawan has also made significant strides in addressing the often-overlooked problem of deadlock in robotic manufacturing cells, proposing both avoidance and recovery strategies within systems incorporating post-process inspection, earning 13 citations for that contribution. His research collectively advances the frontier of automated manufacturing by tackling real-world constraints such as pickup restrictions and system deadlocks, providing practitioners and theorists alike with robust frameworks for designing more efficient and resilient robotic production systems.
Research Focus
Key Achievements
Top Papers
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