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Brownley 205 $a1st ed. 210 $a[New York, N.Y.] (222 East 46th Street, New York, NY 10017) $cBusiness Expert Press$d2013 215 $a1 online resource (174 p.) 225 1 $aQuantitative approaches to decision making collection,$x2163-9582 300 $aPart of: 2013 digital library. 311 $a1-60649-452-X 320 $aIncludes bibliographical references (p. 151-156) and index. 327 $aAcknowledgments -- 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. 330 3 $aWhether managing strategy, operations, or products, making the best decision in a complex, uncertain business environment is challenging. One of the major difficulties facing decision makers is that they often have multiple, competing objectives, which means trade-offs will need to be made. To further complicate matters, uncertainty in the business environment makes it hard to explicitly understand how different objectives will impact potential outcomes. Fortunately, these problems can be solved with a structured framework for multiobjective decision analysis that measures trade-offs among objectives and incorporates uncertainties and risk preferences. This book is designed to help decision makers by providing such an analysis framework implemented as a simple spreadsheet tool. This framework helps structure the decision-making process by identifying what information is needed in order to make the decision, defining how that information should be combined to make the decision, and, finally, providing quantifiable evidence to clearly communicate and justify the final decision. The process itself involves minimal overhead and is perfect for busy professionals who need a simple, structured process for making, tracking, and communicating decisions. With this process, decision making is made more efficient by focusing only on information and factors that are well defined, measureable, and relevant to the decision at hand. The clear characterization of the decision required by the framework ensures that a decision can be traced and is consistent with the intended objectives and organizational values. Using this structured decision-making framework, anyone can effectively and consistently make better decisions to gain a competitive and strategic advantage. 410 0$a2013 digital library. 410 0$aQuantitative approaches to decision making collection.$x2163-9582 606 $aMultiple criteria decision making 608 $aElectronic books. 610 $adecision making 610 $adecision analysis 610 $adecision modeling 610 $astrategic decisions 610 $abusiness decisions 610 $ahow to decide 610 $atrade-offs 610 $amultiobjective 610 $avalues 610 $aweights 610 $avalue functions 610 $aobjectives 610 $ameasures 610 $aalternatives 610 $auncertainty 610 $aprobability 610 $adiscrete 610 $acontinuous 610 $alinear 610 $aexponential 610 $aexpected value 610 $autility 610 $aexpected utility 610 $arisk tolerance 610 $acertainty equivalents 615 0$aMultiple criteria decision making. 676 $a658.403 700 $aBrownley$b Clinton W$0980793 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910452388103321 996 $aMulti-objective decision analysis$92238205 997 $aUNINA