Process Scheduling Under Uncertainty Professors in Global

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Reza Abbasi
University College London United Kingdom
process modelling
process control
process design
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Ziv Scully
Cornell University Netherlands
decision-making under uncertainty
scheduling
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Marina Epelman
University of Michigan United States of America
optimization under uncertainty
production scheduling
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Aleida Braaksma
University of Twente Netherlands
decision making under uncertainty
scheduling
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Ziv Scully
Cornell University Netherlands
decision making under uncertainty
scheduling
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Mark Daskin
University of Michigan United States of America
uncertainty
production scheduling
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Nan Kong
Purdue University United States of America
global optimization under uncertainty
scheduling
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Sharareh Taghipour
Toronto Metropolitan University Canada
uncertainty
scheduling
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Juergen Branke
Warwick Business School United Kingdom
decision making under uncertainty
logistics scheduling
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Tjark Vredeveld
Maastricht University Netherlands
uncertainty in optimization
scheduling
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Matus Mihalak
Maastricht University Netherlands
uncertain data
scheduling
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Photios Ioannou
University of Michigan United States of America
decision making under uncertainty
project scheduling control
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Alejandro Vital Soto
Dalhousie University Canada
production scheduling
process planning
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Georg Stadler
New York University United States of America
optimization under uncertainty
uncertainty quantification
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Igor Averbakh
University of Toronto Canada
uncertainty
routing scheduling
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Igor Averbakh
University of Toronto Canada
uncertainty
routing scheduling
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Debangsu Bhattacharyya
West Virginia University United States of America
scheduling
uncertainty quantification
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David Gamarnik
Massachusetts Institute of Technology United States of America
scheduling
business processes
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Luis Ricardez-sandoval
University of Waterloo Canada
control and scheduling
optimal process scheduling
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Matthew Realff
Georgia Institute of Technology United States of America
scheduling
process design
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Rhian Silvestro
University of Warwick United Kingdom
workforce scheduling
process improvement
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