A Multiparametric Programming Approach for Linear Process Engineering Problems under Uncertainty
- 1 March 1997
- journal article
- research article
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 36 (3) , 717-728
- https://doi.org/10.1021/ie960451l
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- A Parametric MINLP Algorithm for Process Synthesis Problems under UncertaintyIndustrial & Engineering Chemistry Research, 1996
- Novel Optimization Approach of Stochastic Planning ModelsIndustrial & Engineering Chemistry Research, 1994
- Design of multipurpose batch plants with uncertain production requirementsIndustrial & Engineering Chemistry Research, 1992
- Mixed-integer linear programming reformulations for batch process design with discrete equipment sizesIndustrial & Engineering Chemistry Research, 1992
- Optimal long-term campaign planning and design of batch operationsIndustrial & Engineering Chemistry Research, 1991
- Parametric methods in integer linear programmingAnnals of Operations Research, 1990
- A reduced hessian strategy for sensitivity analysis of optimal flowsheetsAIChE Journal, 1987
- A computational comparison of gomory and knapsack cutsComputers & Operations Research, 1987
- Postoptimality analysis in integer programming by implicit enumeration: The mixed integer caseNaval Research Logistics Quarterly, 1974
- Optimal Design of a Large Complex System from the Viewpoint of Sensitivity AnalysisIndustrial & Engineering Chemistry Process Design and Development, 1970