The Resource Capacity planning and resource acquisition decisions using robust optimization, by Aldis Jakubovskis

Capacity planning and resource acquisition decisions using robust optimization, by Aldis Jakubovskis

Label
Capacity planning and resource acquisition decisions using robust optimization
Title
Capacity planning and resource acquisition decisions using robust optimization
Statement of responsibility
by Aldis Jakubovskis
Creator
Subject
Genre
Language
eng
Summary
This dissertation studies strategic capacity planning and resource acquisition decisions, including the facility location problem and the technology choice problem. These decisions are modeled in an integrative manner, and the main purpose of the proposed models and numerical experiments is to examine the effects of economies of scale, economies of scope, and the combined effects of scale and scope under uncertain demand realizations using robust optimization. The type of capacities, or technology alternatives, that a firm can acquire can be classified on two basic dimensions. The first dimension relates to the effects of scale via distinction between labor-intensive (less automated) technologies and capital-intensive (more automated) technologies. The second dimension relates to the effects of scope via distinction between product-dedicated and flexible technologies. Moreover, each of the product-dedicated and flexible technologies can have different levels of labor or capital-intensiveness, leading to the joint effects of economies of scale and economies of scope. Each of the technology alternatives possesses certain cost structures. Labor-intensive technologies are characterized by low fixed costs and high variable costs, whereas capital-intensive technologies are characterized by just the opposite cost structure, i.e., high fixed costs and low variable costs. Flexible technologies cost more than product-dedicated technologies, both in terms of fixed and variable costs. Robust optimization methodology is used to investigate how different levels of robustness, and facility and technology costs affect the quantities, types and allocation of technologies to facilities. Results show that specific technology choice patterns emerge depending on various cost structures and different levels of model robustness specified to accommodate uncertain demand realizations. The results obtained by the two-stage robust optimization approach are compared to the results obtained by a non-robust approach and a stochastic programming approach
Member of
Cataloging source
UMS
http://library.link/vocab/creatorName
Jakubovskis, Aldis
Degree
Ph.D.
Dissertation year
2015.
Granting institution
University of Missouri--St. Louis
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Robust optimization
  • Facility management
  • Business planning
  • Appropriate technology
  • Industrial location
  • Strategic planning
  • Product management
Label
Capacity planning and resource acquisition decisions using robust optimization, by Aldis Jakubovskis
Instantiates
Publication
Copyright
Note
Title from title page of PDF (University of Missouri--St. Louis, viewed June 25, 2015)
Bibliography note
Includes bibliographical references (pages 120-126)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Control code
911640856
Extent
1 online resource (v, 126 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other physical details
illustrations (some colored)
Specific material designation
remote
System control number
(OCoLC)911640856
Label
Capacity planning and resource acquisition decisions using robust optimization, by Aldis Jakubovskis
Publication
Copyright
Note
Title from title page of PDF (University of Missouri--St. Louis, viewed June 25, 2015)
Bibliography note
Includes bibliographical references (pages 120-126)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Control code
911640856
Extent
1 online resource (v, 126 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other physical details
illustrations (some colored)
Specific material designation
remote
System control number
(OCoLC)911640856

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