Abstract
dc:descriptionThe increasing competitiveness in the industry necessitates the development of optimization tools for chemical process planning. The problem of selecting processes and capacity expansion policies for a chemical complex can be formulated as a multiperiod, mixed-integer linear program (MILP). This MILP can then be reformulated by exploiting lot sizing substructures. While the reformulation produces a tight linear programming relaxation, it also introduces a large number of variables and constraints.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Industrial Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Liu, Ming-Long
- Contributors dc:contributor
-
- Sahinidis, Nikolaos V.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- Copyright 1995 Liu, Ming-Long
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9629016
(UMI)AAI9629016 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/20940