[APDIO] Seminário CEG-IST com Ignacio E. Grossman (Carnegie Mellon University) - 14 de Setembro de 2012

[João Lourenço <joao.lourenco@ist.utl.pt>]

Caros colegas,

No âmbito do Ciclo de Seminários do CEG-IST, temos o prazer de anunciar o seguinte seminário:

Sexta-feira, 14 de Setembro de 2012, 11:00-13:00

Tema: "Challenges in the Application of Mathematical Programming in the Enterprise-wide Optimization of Process Industries"

Palestrante: Ignacio E. Grossmann (Center for Advanced Process Decision-making, Department of Chemical Engineering, Carnegie Mellon University)

Local: Anfiteatro QA 1.1, Torre Sul (IST - Campus Alameda, Lisboa)

Abstract: Enterprise-wide optimization (EWO) is a new emerging area that lies at the interface of chemical engineering and operations research, and has become a major goal in the process industries due to the increasing pressures for remaining competitive in the global marketplace.  EWO involves optimizing the operations of supply, production and distribution activities of a company to reduce costs and inventories. A major focus in EWO is the optimization of manufacturing plants as part of the overall optimization of the supply chain. Major operational items include production planning, scheduling, and control.  This talk provides an overview of major modeling and computational challenges in the development of deterministic and stochastic linear/nonlinear mixed-integer optimization models for planning and scheduling for the optimization of plants and entire supply chains that are involved in EWO problems. We illustrate the application of these ideas in four major problems: a) integration of planning and scheduling in batch processes that lead to large-scale mixed-integer linear programs, b) optimization of responsive process supply chains that lead to large-scale bicriterion mixed-integer optimization problems, c) optimization of distribution-inventory planning of industrial gases that lead to integration of planning and vehicle-routing models, d) optimization of oilfield infrastructures under uncertainty that lead to multistage stochastic programming problems with endogenous uncertain parameters. We outline the solution methods that have been developed. Also, these problems have been addressed in collaboration with industry, and have led to substantial economic savings.

Os seminários do CEG-IST são de acesso livre.

Cumprimentos,

João Lourenço

CEG-IST