Multi-objective decision analysis: managing trade-offs and uncertainty
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[New York, N.Y.] (222 East 46th Street, New York, NY 10017)
Business Expert Press
2013
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | 2013 digital library
Quantitative approaches to decision making collection |
| Schlagworte: | |
| Beschreibung: | Part of: 2013 digital library. - Mode of access: World Wide Web. - System requirements: Adobe Acrobat reader Includes bibliographical references (p. 151-156) and index Whether managing strategy, operations, or products, making the best decision in a complex, uncertain business environment is challenging. One of the major difficulties facing decision makers is that they often have multiple, competing objectives, which means trade-offs will need to be made. To further complicate matters, uncertainty in the business environment makes it hard to explicitly understand how different objectives will impact potential outcomes. Fortunately, these problems can be solved with a structured framework for multiobjective decision analysis that measures trade-offs among objectives and incorporates uncertainties and risk preferences. This book is designed to help decision makers by providing such an analysis framework implemented as a simple spreadsheet tool. This framework helps structure the decision-making process by identifying what information is needed in order to make the decision, defining how that information should be combined to make the decision, and, finally, providing quantifiable evidence to clearly communicate and justify the final decision. The process itself involves minimal overhead and is perfect for busy professionals who need a simple, structured process for making, tracking, and communicating decisions. With this process, decision making is made more efficient by focusing only on information and factors that are well defined, measureable, and relevant to the decision at hand. The clear characterization of the decision required by the framework ensures that a decision can be traced and is consistent with the intended objectives and organizational values. Using this structured decision-making framework, anyone can effectively and consistently make better decisions to gain a competitive and strategic advantage |
| Beschreibung: | 1 Online-Ressource (x, 160 p.) |
| ISBN: | 9781606494530 9781606494523 |
Internformat
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| 245 | 1 | 0 | |a Multi-objective decision analysis |b managing trade-offs and uncertainty |c Clinton W. Brownley |
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| 300 | |a 1 Online-Ressource (x, 160 p.) | ||
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| 490 | 0 | |a 2013 digital library | |
| 490 | 0 | |a Quantitative approaches to decision making collection | |
| 500 | |a Part of: 2013 digital library. - Mode of access: World Wide Web. - System requirements: Adobe Acrobat reader | ||
| 500 | |a Includes bibliographical references (p. 151-156) and index | ||
| 500 | |a Whether managing strategy, operations, or products, making the best decision in a complex, uncertain business environment is challenging. One of the major difficulties facing decision makers is that they often have multiple, competing objectives, which means trade-offs will need to be made. To further complicate matters, uncertainty in the business environment makes it hard to explicitly understand how different objectives will impact potential outcomes. Fortunately, these problems can be solved with a structured framework for multiobjective decision analysis that measures trade-offs among objectives and incorporates uncertainties and risk preferences. This book is designed to help decision makers by providing such an analysis framework implemented as a simple spreadsheet tool. This framework helps structure the decision-making process by identifying what information is needed in order to make the decision, defining how that information should be combined to make the decision, and, finally, providing quantifiable evidence to clearly communicate and justify the final decision. The process itself involves minimal overhead and is perfect for busy professionals who need a simple, structured process for making, tracking, and communicating decisions. With this process, decision making is made more efficient by focusing only on information and factors that are well defined, measureable, and relevant to the decision at hand. The clear characterization of the decision required by the framework ensures that a decision can be traced and is consistent with the intended objectives and organizational values. Using this structured decision-making framework, anyone can effectively and consistently make better decisions to gain a competitive and strategic advantage | ||
| 505 | 0 | |a Acknowledgments -- 1. Introduction to multiobjective decision analysis -- 2. Structuring objectives and developing alternatives -- 3. Value functions and preference weights -- 4. Uncertainty: probability distributions and expected value -- 5. Uncertainty: risk tolerance and expected utility -- 6. Multiobjective decision analysis under uncertainty -- 7. Conclusion -- Notes -- References -- Index | |
| 650 | 4 | |a decision making | |
| 650 | 4 | |a decision analysis | |
| 650 | 4 | |a decision modeling | |
| 650 | 4 | |a strategic decisions | |
| 650 | 4 | |a business decisions | |
| 650 | 4 | |a how to decide | |
| 650 | 4 | |a trade-offs | |
| 650 | 4 | |a multiobjective | |
| 650 | 4 | |a values | |
| 650 | 4 | |a weights | |
| 650 | 4 | |a value functions | |
| 650 | 4 | |a objectives | |
| 650 | 4 | |a measures | |
| 650 | 4 | |a alternatives | |
| 650 | 4 | |a uncertainty | |
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| 650 | 4 | |a continuous | |
| 650 | 4 | |a linear | |
| 650 | 4 | |a exponential | |
| 650 | 4 | |a expected value | |
| 650 | 4 | |a utility | |
| 650 | 4 | |a expected utility | |
| 650 | 4 | |a risk tolerance | |
| 650 | 4 | |a certainty equivalents | |
| 650 | 4 | |a Multiple criteria decision making | |
| 912 | |a ZDB-38-EBR | ||
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Datensatz im Suchindex
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| author | Brownley, Clinton W. |
| author_facet | Brownley, Clinton W. |
| author_role | aut |
| author_sort | Brownley, Clinton W. |
| author_variant | c w b cw cwb |
| building | Verbundindex |
| bvnumber | BV041072552 |
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| contents | Acknowledgments -- 1. Introduction to multiobjective decision analysis -- 2. Structuring objectives and developing alternatives -- 3. Value functions and preference weights -- 4. Uncertainty: probability distributions and expected value -- 5. Uncertainty: risk tolerance and expected utility -- 6. Multiobjective decision analysis under uncertainty -- 7. Conclusion -- Notes -- References -- Index |
| ctrlnum | (OCoLC)840921132 (DE-599)BVBBV041072552 |
| dewey-full | 658.403 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.403 |
| dewey-search | 658.403 |
| dewey-sort | 3658.403 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV041072552 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:38:56Z |
| institution | BVB |
| isbn | 9781606494530 9781606494523 |
| language | English |
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| spelling | Brownley, Clinton W. Verfasser aut Multi-objective decision analysis managing trade-offs and uncertainty Clinton W. Brownley 1st ed [New York, N.Y.] (222 East 46th Street, New York, NY 10017) Business Expert Press 2013 1 Online-Ressource (x, 160 p.) txt rdacontent c rdamedia cr rdacarrier 2013 digital library Quantitative approaches to decision making collection Part of: 2013 digital library. - Mode of access: World Wide Web. - System requirements: Adobe Acrobat reader Includes bibliographical references (p. 151-156) and index Whether managing strategy, operations, or products, making the best decision in a complex, uncertain business environment is challenging. One of the major difficulties facing decision makers is that they often have multiple, competing objectives, which means trade-offs will need to be made. To further complicate matters, uncertainty in the business environment makes it hard to explicitly understand how different objectives will impact potential outcomes. Fortunately, these problems can be solved with a structured framework for multiobjective decision analysis that measures trade-offs among objectives and incorporates uncertainties and risk preferences. This book is designed to help decision makers by providing such an analysis framework implemented as a simple spreadsheet tool. This framework helps structure the decision-making process by identifying what information is needed in order to make the decision, defining how that information should be combined to make the decision, and, finally, providing quantifiable evidence to clearly communicate and justify the final decision. The process itself involves minimal overhead and is perfect for busy professionals who need a simple, structured process for making, tracking, and communicating decisions. With this process, decision making is made more efficient by focusing only on information and factors that are well defined, measureable, and relevant to the decision at hand. The clear characterization of the decision required by the framework ensures that a decision can be traced and is consistent with the intended objectives and organizational values. Using this structured decision-making framework, anyone can effectively and consistently make better decisions to gain a competitive and strategic advantage Acknowledgments -- 1. Introduction to multiobjective decision analysis -- 2. Structuring objectives and developing alternatives -- 3. Value functions and preference weights -- 4. Uncertainty: probability distributions and expected value -- 5. Uncertainty: risk tolerance and expected utility -- 6. Multiobjective decision analysis under uncertainty -- 7. Conclusion -- Notes -- References -- Index decision making decision analysis decision modeling strategic decisions business decisions how to decide trade-offs multiobjective values weights value functions objectives measures alternatives uncertainty probability discrete continuous linear exponential expected value utility expected utility risk tolerance certainty equivalents Multiple criteria decision making |
| spellingShingle | Brownley, Clinton W. Multi-objective decision analysis managing trade-offs and uncertainty Acknowledgments -- 1. Introduction to multiobjective decision analysis -- 2. Structuring objectives and developing alternatives -- 3. Value functions and preference weights -- 4. Uncertainty: probability distributions and expected value -- 5. Uncertainty: risk tolerance and expected utility -- 6. Multiobjective decision analysis under uncertainty -- 7. Conclusion -- Notes -- References -- Index decision making decision analysis decision modeling strategic decisions business decisions how to decide trade-offs multiobjective values weights value functions objectives measures alternatives uncertainty probability discrete continuous linear exponential expected value utility expected utility risk tolerance certainty equivalents Multiple criteria decision making |
| title | Multi-objective decision analysis managing trade-offs and uncertainty |
| title_auth | Multi-objective decision analysis managing trade-offs and uncertainty |
| title_exact_search | Multi-objective decision analysis managing trade-offs and uncertainty |
| title_full | Multi-objective decision analysis managing trade-offs and uncertainty Clinton W. Brownley |
| title_fullStr | Multi-objective decision analysis managing trade-offs and uncertainty Clinton W. Brownley |
| title_full_unstemmed | Multi-objective decision analysis managing trade-offs and uncertainty Clinton W. Brownley |
| title_short | Multi-objective decision analysis |
| title_sort | multi objective decision analysis managing trade offs and uncertainty |
| title_sub | managing trade-offs and uncertainty |
| topic | decision making decision analysis decision modeling strategic decisions business decisions how to decide trade-offs multiobjective values weights value functions objectives measures alternatives uncertainty probability discrete continuous linear exponential expected value utility expected utility risk tolerance certainty equivalents Multiple criteria decision making |
| topic_facet | decision making decision analysis decision modeling strategic decisions business decisions how to decide trade-offs multiobjective values weights value functions objectives measures alternatives uncertainty probability discrete continuous linear exponential expected value utility expected utility risk tolerance certainty equivalents Multiple criteria decision making |
| work_keys_str_mv | AT brownleyclintonw multiobjectivedecisionanalysismanagingtradeoffsanduncertainty |