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University of Illinois at Urbana-Champaign

Optimization tools for process planning

Abstract

dc:description

The 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 × 2

Rights

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

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Liu, Ming-Long. Optimization tools for process planning. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/20940