Kouroush Jenab

About

Kouroush Jenab is a leading researcher in the optimization of robotic manufacturing systems, with a primary focus on the scheduling and productivity analysis of robotic cells. His work addresses critical challenges in cycle time minimization, particularly in complex configurations such as reentrant robotic cells and hybrid robotic cells where robots perform concurrent operations. Jenab’s major contributions include developing analytical models for cycle time analysis in cells with swap ability and improved pure cycles, which have become foundational references in the field. His most cited paper, "Cycle time analysis in reentrant robotic cells with swap ability" (2012, 30 citations), provides key insights into two-machine reentrant cell scheduling. Another highly influential work, "Analysis of flexible robotic cells with improved pure cycle" (2012, 27 citations), explores flexibility in robot type, pickup category, and cell layout. Jenab has also advanced the field by integrating robot selection models under uncertainty, as seen in his 2015 work. With a career spanning impactful studies from 2008 onward, his research continues to guide both academic inquiry and industrial applications in automated manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   Cycle time analysis in reentrant robotic cells with swap ability

   30 citations · 2012
2. 2
   Analysis of flexible robotic cells with improved pure cycle

   27 citations · 2012
3. 3
   Productivity analysis in a robotic cell

   17 citations · 2008
4. 4
   An integrated model for robot selection in robotic cells under uncertain situations

   5 citations · 2015
5. 5
   AN OPERATION-ORIENTED ANALYSIS OF HYBRID ROBOTIC CELLS

   2 citations · 2013
6. 6
   Stochastic cycle time analysis in robotic cells

   2 citations · 2010

Key Collaborators

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