LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
The US Industrial manufacturers face numerous challenges such as increasing complexity of production processes, fluctuating customer demands and expansion of supply chains. Output is expected to increase only 3.5% in 2019, according to the International Monetary Fund. The global expansion has weakened, foreign trade is at historically low levels, and nationalist governments around the world are threatening to further undermine the free flow of goods, creating more uncertainty and constraints upon manufacturing growth. In such a slow-growth environment, productivity gains are essential and there is an opportunity to profit from innovative strategies. In the field of operations research and process systems engineering, the main strategy to combat the emerging challenges and improve the efficiency of process industry is the pursue of optimal operating conditions through an enterprise-wide optimization (EWO).
EWO involves optimizing the operations of supply, manufacturing and distributions activities of a company. A major focus in EWO is the optimal operation of manufacturing facilities, which involves the decision-making processes of planning, scheduling and real-time operational control. Traditionally, these decision-making problems are addressed individually and in a hierarchical manner, solved in a sequential way. An upper level problem is often solved with few or none information from lower levels. Its result is then transmitted to the lower levels, which must be optimized given the conditions already set by upper level problems. Consequently, sequential approaches may result in sub-optimal and infeasible solutions that can be avoided by an appropriate integration of different decision layers.
The objective of this work is to provide tools and the technology to establish optimal operating conditions by modernizing and integrating the decision-making process within a company. The integration is achieved by using simulation-based optimization techniques, surrogate modelling and feasibility analysis to transmit the information from lower levels to upper levels of the decision-making hierarchy. The problem of integrating scheduling and control is first addressed, followed by the problem of integrating planning and scheduling problems. By coupling the fundamentals of the developed integration strategies, enterprise wide optimization is achieved. The problem of planning, scheduling and control of a complex industrial-sized problem is then solved to demonstrate the adaptability, viability and performance of the proposed framework.
Subject (authority = RUETD)
Topic
Chemical and Biochemical Engineering
Subject (authority = local)
Topic
Scheduling of production
Subject (authority = LCSH)
Topic
Chemical industry -- Management
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_10368
PhysicalDescription
Form (authority = gmd)
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xi, 188 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.