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
Resource Information
The item Capacity planning and resource acquisition decisions using robust optimization, by Aldis Jakubovskis represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from all library branches.
Resource Information
The item Capacity planning and resource acquisition decisions using robust optimization, by Aldis Jakubovskis represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from all library branches.
- 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
- Language
- eng
- Extent
- 1 online resource (v, 126 pages)
- Note
- Title from title page of PDF (University of Missouri--St. Louis, viewed June 25, 2015)
- 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
- 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
- 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
- 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
- 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
Library Locations
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St. Louis Mercantile LibraryBorrow it1 University Blvd, St. Louis, MO, 63121, US38.710138 -90.311107
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University ArchivesBorrow it703 Lewis Hall, Columbia, MO, 65211, US
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University of Missouri-St. Louis Libraries DepositoryBorrow it2908 Lemone Blvd, Columbia, MO, 65201, US38.919360 -92.291620
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University of Missouri-St. Louis Libraries DepositoryBorrow it2908 Lemone Blvd, Columbia, MO, 65201, US38.919360 -92.291620
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Ward E Barnes Education LibraryBorrow it8001 Natural Bridge Rd, St. Louis, MO, 63121, US38.707079 -90.311355
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Capacity-planning-and-resource-acquisition/4q-R0r6Baik/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Capacity-planning-and-resource-acquisition/4q-R0r6Baik/">Capacity planning and resource acquisition decisions using robust optimization, by Aldis Jakubovskis</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
