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Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain

Computers & operations research, 2014-09, Vol.49, p.47-58

2014

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Data-driven multi-stage scenario tree generation via statistical property and distribution matching

Computers & chemical engineering, 2014-09, Vol.68, p.7-23

2014

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Recent Developments and Challenges in Optimization-Based Process Synthesis

Annual review of chemical and biomolecular engineering, 2017-06, Vol.8, p.249

2017

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Scheduling optimization under uncertainty—an alternative approach

Computers & chemical engineering, 2003-04, Vol.27 (4), p.469-490

2003

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A model predictive control strategy for supply chain optimization

Computers & chemical engineering, 2003-09, Vol.27 (8), p.1201-1218

2003

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Approximation to Multistage Stochastic Optimization in Multiperiod Batch Plant Scheduling under Demand Uncertainty

Industrial & engineering chemistry research, 2004-07, Vol.43 (14), p.3695-3713

2004

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Optimal Design of Distributed Wastewater Treatment Networks

Industrial & engineering chemistry research, 1998-10, Vol.37 (10), p.4036-4048

1998

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A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations

Computers & chemical engineering, 2013-03, Vol.50, p.184-195

2013

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Modeling of discrete/continuous optimization problems: characterization and formulation of disjunctions and their relaxations

Computers & chemical engineering, 2003-03, Vol.27 (3), p.433-448

2003

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Time for global action: an optimised cooperative approach towards effective climate change mitigation

Energy & environmental science, 2018-01, Vol.11 (3), p.572-581

2018

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Global optimization of bilinear process networks with multicomponent flows

Computers & chemical engineering, 1995, Vol.19 (12), p.1219-1242

1995

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Data-driven individual and joint chance-constrained optimization via kernel smoothing

Computers & chemical engineering, 2015-07, Vol.78, p.51-69

2015

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Synthesis and operational planning of utility systems for multiperiod operation

Computers & chemical engineering, 1998-01, Vol.22 (7), p.979-993

1998

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Optimal procurement contract selection with price optimization under uncertainty for process networks

Computers & chemical engineering, 2015-11, Vol.82, p.330-343

2015

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Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment

Computers & chemical engineering, 2004-12, Vol.29 (1), p.29-39

Grossmann, Ignacio E.

2004

Volltextzugriff (PDF)

Retrospective on optimization

Computers & chemical engineering, 2004-07, Vol.28 (8), p.1169-1192

2004

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A stochastic programming approach to planning of offshore gas field developments under uncertainty in reserves

Computers & chemical engineering, 2004-07, Vol.28 (8), p.1409-1429

2004

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Optimal Planning and Scheduling of Offshore Oil Field Infrastructure Investment and Operations

Industrial & engineering chemistry research, 1998-04, Vol.37 (4), p.1380-1397

1998

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Mathematical Programming Techniques for Optimization under Uncertainty and Their Application in Process Systems Engineering

Theoretical foundations of chemical engineering, 2017-11, Vol.51 (6), p.893-909

2017

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An LP/NLP based branch and bound algorithm for convex MINLP optimization problems

Computers & chemical engineering, 1992-10, Vol.16 (10), p.937-947

1992

Volltextzugriff (PDF)

Optimizing the tactical planning in the Fast Moving Consumer Goods industry considering shelf-life restrictions

Computers & chemical engineering, 2014-07, Vol.66, p.98-109

2014

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Part II. Future perspective on optimization

Computers & chemical engineering, 2004-07, Vol.28 (8), p.1193-1218

2004

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An SKU decomposition algorithm for the tactical planning in the FMCG industry

Computers & chemical engineering, 2014-03, Vol.62, p.80-95

2014

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Aggregated Models for Integrated Distillation Systems

Industrial & engineering chemistry research, 1999-06, Vol.38 (6), p.2330-2344

1999

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New developments and capabilities in prosyn—An automated topology and parameter process synthesizer

Computers & chemical engineering, 1994-11, Vol.18 (11), p.1097-1114

1994

Volltextzugriff (PDF)

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Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain

Data-driven multi-stage scenario tree generation via statistical property and distribution matching

Recent Developments and Challenges in Optimization-Based Process Synthesis

Scheduling optimization under uncertainty—an alternative approach

A model predictive control strategy for supply chain optimization

Approximation to Multistage Stochastic Optimization in Multiperiod Batch Plant Scheduling under Demand Uncertainty

Optimal Design of Distributed Wastewater Treatment Networks

A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations

Modeling of discrete/continuous optimization problems: characterization and formulation of disjunctions and their relaxations

Time for global action: an optimised cooperative approach towards effective climate change mitigation

Global optimization of bilinear process networks with multicomponent flows

Data-driven individual and joint chance-constrained optimization via kernel smoothing

Synthesis and operational planning of utility systems for multiperiod operation

Optimal procurement contract selection with price optimization under uncertainty for process networks

Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment

Retrospective on optimization

A stochastic programming approach to planning of offshore gas field developments under uncertainty in reserves

Optimal Planning and Scheduling of Offshore Oil Field Infrastructure Investment and Operations

Mathematical Programming Techniques for Optimization under Uncertainty and Their Application in Process Systems Engineering

An LP/NLP based branch and bound algorithm for convex MINLP optimization problems

Optimizing the tactical planning in the Fast Moving Consumer Goods industry considering shelf-life restrictions

Part II. Future perspective on optimization

An SKU decomposition algorithm for the tactical planning in the FMCG industry

Aggregated Models for Integrated Distillation Systems

New developments and capabilities in prosyn—An automated topology and parameter process synthesizer

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