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CATEGORIES:Lecture
DESCRIPTION:Challenges in the Application of Mathematical Programming Appro
 aches to Enterprise-wide Optimization of Process Industries\n\nIgnacio E. G
 rossmann\n\nCenter for Advanced Process Decision-making\n\nDepartment of Ch
 emical Engineering\n\nCarnegie Mellon University\n\nPittsburgh\, 15217\, US
 A\n\nEnterprise-wide optimization (EWO) is a new emerging area that lies at
  the interface of chemical engineering and operations research\, and has be
 come a major goal in the process industries due to the increasing pressures
  for remaining competitive in the global marketplace.  EWO involves optimiz
 ing the operations of supply\, production and distribution activities of a 
 company to reduce costs and inventories. A major focus in EWO is the optimi
 zation of manufacturing plants as part of the overall optimization of the s
 upply chain. Major operational items include production planning\, scheduli
 ng\, and control.  This talk provides an overview of major modeling and com
 putational challenges in the development of deterministic and stochastic li
 near/nonlinear mixed-integer optimization models for planning and schedulin
 g for the optimization of plants and entire supply chains that are involved
  in EWO problems. We address the following major challenges in this area: a
 ) multi-scale optimization\, b) linear vs. nonlinear models\, c) handling o
 f uncertainty and disruption\, d) multiobjective and multilevel optimizatio
 n. We illustrate these challenges in areas such as industrial gases\, petro
 leum processing\, and chemical process networks. These problems have been a
 ddressed in collaboration with industry\, and have led to substantial econo
 mic savings.
DTEND:20190308T220000Z
DTSTAMP:20260313T201621Z
DTSTART:20190308T210000Z
LOCATION:Olin Hall\, 155
SEQUENCE:0
SUMMARY:Julian C. Smith Lecture Series: Ignacio Grossmann\, Carnegie Mellon
  University
UID:tag:localist.com\,2008:EventInstance_4361597
URL:https://events.cornell.edu/event/julian_c_smith_lecture_series_ignacio_
 grossmann_carnegie_mellon_university_9807
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