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Decision Aids for Selection Problems de David L. Olson

Decision Aids for Selection Problems: Springer Series in Operations Research and Financial Engineering

Autor David L. Olson
en Limba Engleză Hardback – 3 noi 1995
One of the most important tasks faced by decision-makers in business and government is that of selection. Selection problems are challenging in that they require the balancing of multiple, often conflicting, criteria. In recent years, a number of interesting decision aids have become available to assist in such decisions.
The aim of this book is to provide a comparative survey of many of the decision aids currently available. The first chapters present general ideas which underpin the methodologies used to design these aids. Subsequent chapters then focus on specific decision aids and demonstrate some of the software which implement these ideas. A final chapter provides a comparative analysis of their strengths and weaknesses.
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Specificații

ISBN-13: 9780387945606
ISBN-10: 0387945601
Pagini: 212
Ilustrații: XII, 194 p.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.44 kg
Ediția:1996
Editura: Springer
Colecția Springer Series in Operations Research and Financial Engineering
Seria Springer Series in Operations Research and Financial Engineering

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

1 Introduction.- Multiple Criteria Decision Making.- Value.- Software Sources.- References.- 2 Developing Criteria Hierarchies.- Hierarchies.- Attributes.- Hierarchy Development Process.- Suggestions for Cases where Preferential Independence is Absent.- Energy Hierarchies.- Conclusions.- References.- 3 Multiattribute Utility Theory.- Case: Nuclear Depository Siting.- Multiattribute Utility Theory.- Tradeoff Analysis.- Nuclear Dump Site Selection.- House Selection.- Conclusions.- References.- 4 Smart.- The SMART Technique.- Independence.- Nuclear Dump Site Example.- House Selection Example.- SMARTS.- Nuclear Site Selection with SMARTS.- SMARTER.- House Selection Example Using SMARTER.- Summary.- References.- 5 The Analytic Hierarchy Process.- Description of AHP.- Hierarchy Development.- Subjective Pairwise Comparisons.- Calculation of Implied Weights.- Consistency Measure.- Synthesis.- Calculations for the Nuclear Waste Disposal Siting Problem.- Calculations for the Housing Selection Decision.- Real-World Applications of AHP.- Computer Support for AHP.- Summary.- Appendix: Calculation of Maximum Eigen Value and Eigenvector.- References.- 6 Geometric Mean Technique.- Geometric Mean Solution.- REMBRANDT.- Nuclear Disposal Site Selection Problem.- House Selection Calculations.- References.- 7 Preference Cones.- Procedure.- Basing Objective on Current Best Choice.- Basing Objective on Worst Choice to Date.- Adjacency Formulation.- Cellular Manufacturing Example.- Basing Objective on Current Best Choice.- Basing Objective on Worst Choice to Date.- Automation Example.- Nuclear Dump Site Selection.- Conclusions.- References.- 8 Outranking Methods.- ELECTRE.- Cellular Manufacturing Example.- Automation Example.- Nuclear Dump Site Selection — ELECTRE II.- PROMETHEE.- GAIAOutput.- Nuclear Dump Site Selection—PROMETHEE.- Applications of Outranking Methods.- Conclusions.- References.- 9 Zapros.- Demonstration Model.- Nuclear Dump Site Selection.- House Selection.- Conclusions.- References.- Appendix: Input Files.- 10 Aspiration-Level Interactive Model.- Methodology.- Nuclear Dump Site Selection.- Cellular Manufacturing Example.- Summary.- References.- 11 Visual Interactive Method.- VIMDA Overview.- VIMDA Procedure.- Nuclear Dump Site Selection.- Cellular Manufacturing Example.- Summary.- References.- 12 Models with Uncertain Estimates.- ARIADNE.- Parking Example.- Nuclear Waste Disposal Siting Problem.- Uncertain Value Contributions.- House Buying Example.- HIPRE 3+.- Parking Example.- Nuclear Dump Site Example.- Summary.- References.- 13 Comparisons.- Task Type.- Task Dimensionality.- Task Uniqueness.- Decision Maker Cognitive Effort.- Human Subject Responses.- Aid to Decision Maker Learning.- Synthesis.- Conclusion.- References.- Author Index.- Topic Index.

Recenzii

"...should be on the shelf of every decision maker. There is a wealth of information one would want to dip into from time to time." - Jnl of the Operational Research Society

Notă biografică

David L. Olson ist der James & H.K. Stuart Chancellor's Distinguished Chair und ordentlicher Professor an der University of Nebraska. Er hat in über 150 begutachteten Zeitschriftenartikeln Forschungsergebnisse veröffentlicht, vor allem zu den Themen Entscheidungsfindung mit mehreren Zielen, Informationstechnologie, Risikomanagement in der Lieferkette und Data Mining. Er lehrt in den Bereichen Management-Informationssysteme, Management-Wissenschaft und Operations Management. Er hat über 20 Bücher verfasst. Er ist Mitglied des Decision Sciences Institute, des Institute for Operations Research and Management Sciences und der Multiple Criteria Decision Making Society. Von 1999 bis 2001 war er Lowry-Mays-Stiftungsprofessor an der Texas A&M University. Im Jahr 2002 wurde er mit dem Raymond E. Miles Distinguished Scholar Award ausgezeichnet, und von 2005 bis 2006 war er James C. and Rhonda Seacrest Fellow. Im Jahr 2006 wurde er von der IFIP zum "Best Enterprise Information Systems Educator" ernannt. Er ist ein Fellow des Decision Sciences Institute.
Dr. Georg Lauhoff führt bei IBM Forschungs- und Entwicklungsarbeiten auf dem Gebiet der Materialwissenschaft und ihrer Anwendung in Datenspeichern durch und verwendet auch die in diesem Buch beschriebenen Techniken für seine Arbeit. Er ist Mitverfasser von 38 begutachteten Zeitschriftenartikeln und über 30 Konferenzvorträgen, hauptsächlich zu den Themen Materialwissenschaft, Datenspeichermaterialien und magnetische Dünnschichten. Er erhielt Stipendien und Forschungszuschüsse in Großbritannien und Japan. Von 1995 bis 1998 war er der Clerk-Maxwell Scholar und ist Fellow der Cambridge Philosophical Society. Er studierte Physik in Aachen (Diplom) und an der Universität Cambridge (Master und Ph.D.) und spezialisierte sich dabei auf die Bereiche Materialwissenschaften und magnetische Dünnschichten und Sensoren. Nach seinem Abschluss ging er nach Japan und arbeitete als Assistentprofessor für Materialwissenschaft und Werkstoffkunde am Toyota Technological Institute in Nagoya. Anschließend forschte er an der Universität Cambridge auf dem Gebiet der DNA-Sequenzierung mit Hilfe magnetischer Sensoren, bevor er 2005 in die Datenspeicherindustrie im Silicon Valley wechselte und bei Maxtor, Samsung, Western Digital und nun IBM Almaden für die Entwicklung von Festplattenlaufwerke und magnetisch Bandlaufwerke verantwortlich ist. Georg studierte neben seiner Arbeit von 2015-2020 an der University of Nebraska-Lincoln Betriebswirtschaftslehre (MBA).