Complex Managerial Decisions Involving Multiple Objectives


Complex Managerial Decisions Involving Multiple Objectives
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Complex Managerial Decisions Involving Multiple Objectives


Complex Managerial Decisions Involving Multiple Objectives
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Author : Allan Easton
language : en
Publisher: John Wiley & Sons
Release Date : 1973

Complex Managerial Decisions Involving Multiple Objectives written by Allan Easton and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Business & Economics categories.




Decisions With Multiple Objectives


Decisions With Multiple Objectives
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Author : Ralph L. Keeney
language : en
Publisher: Cambridge University Press
Release Date : 1993-07

Decisions With Multiple Objectives written by Ralph L. Keeney and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-07 with Business & Economics categories.


This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe their thoughts and feelings in order to make the critically important trade-offs between incommensurable objectives.



Value Added Decision Making For Managers


Value Added Decision Making For Managers
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Author : Kenneth Chelst
language : en
Publisher: CRC Press
Release Date : 2011-10-05

Value Added Decision Making For Managers written by Kenneth Chelst and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-05 with Business & Economics categories.


Developed from the authors’ longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives, enabling decision makers to improve on these alternatives by adding value and reducing risk. The core of the text addresses decisions that involve selecting the best alternative from diverse choices. The decisions include buying a car, picking a supplier or home contractor, selecting a technology, picking a location for a manufacturing plant or sports stadium, hiring an employee or selecting among job offers, deciding on the size of a sales force, making a late design change, and sourcing to emerging markets. The book also covers more complex decisions arising in negotiations, strategy, and ethics that involve multiple dimensions simultaneously. Numerous activities interspersed throughout the text highlight real-world situations, helping readers see how the concepts presented can be used in their own work environment or personal life. Each chapter also includes discussion questions and references. Web Resource The book’s website at http://ise.wayne.edu/research/decision.php offers tutorials of Logical Decisions software for multi-objective decisions and Precision Tree software for probabilistic decisions. Directions for downloading student versions of the DecisionTools Suite and Logical Decisions software can be found in the appendices. Password-protected PowerPoint presentations for each chapter and solutions to all of the numeric examples are available for instructors.



Decision Analysis For Management Judgment


Decision Analysis For Management Judgment
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Author : Paul Goodwin
language : en
Publisher: John Wiley & Sons
Release Date : 2014-05-12

Decision Analysis For Management Judgment written by Paul Goodwin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Business & Economics categories.


Decision Analysis for Management Judgment is unique in its breadth of coverage of decision analysis methods. It covers both the psychological problems that are associated with unaided managerial decision making and the decision analysis methods designed to overcome them. It is presented and explained in a clear, straightforward manner without using mathematical notation. This latest edition has been fully revised and updated and includes a number of changes to reflect the latest developments in the field.



Handbook Of Decision Analysis


Handbook Of Decision Analysis
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Author : Gregory S. Parnell
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-24

Handbook Of Decision Analysis written by Gregory S. Parnell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Business & Economics categories.


A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.



Multiple Objective Decision Making Methods And Applications


Multiple Objective Decision Making Methods And Applications
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Author : C.-L. Hwang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Multiple Objective Decision Making Methods And Applications written by C.-L. Hwang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently non commensurable. Mathematically, these problems can be represented as: (1. 1 ) subject to: gi(~) ~ 0, ,', . . . ,. ! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together.



Multiple Objective Decision Making Methods And Applications


Multiple Objective Decision Making Methods And Applications
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Author : C.-L. Hwang
language : en
Publisher: Springer
Release Date : 1979-02-05

Multiple Objective Decision Making Methods And Applications written by C.-L. Hwang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979-02-05 with Business & Economics categories.


Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently nonƯ commensurable. Mathematically, these problems can be represented as: (1. 1) subject to: gi(~) ~ 0,' ..., .! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together.



Multiobjective Programming And Planning


Multiobjective Programming And Planning
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Author : Jared L. Cohon
language : en
Publisher: Courier Corporation
Release Date : 2013-01-18

Multiobjective Programming And Planning written by Jared L. Cohon and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-18 with Mathematics categories.


This text takes a broad view of multiobjective programming, emphasizing the methods most useful for continuous problems. It reviews methods in the context of public decision-making problems. 1978 edition.



Interactive Multiple Goal Programming


Interactive Multiple Goal Programming
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Author : J. Spronk
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Interactive Multiple Goal Programming written by J. Spronk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


1. 1. Motivation This book is based on the view-tx)int that both public and private decision making, in practice, can often be ilrproved upon by means of fonnal (nonnative) decision nodels and methods. To sane extent, the validity of this statement can be measured by the irrpressive number of su=esses of disciplines as operations research and management science. Hcwever, as witnessed by the many discussions in the professional journals in these fields, many rrodels and methods do not completely meet the requirements of decision making in prac tice. Of all possible origins of these clear shortcomings, we main-· ly focus on only one: the fact that nost of these nodels and methods are unsuitable for decision situations in which multiple and possi bly conflicting objectives playa role, because they are concentra ted on the (optimal) fulfilment of only one objective. The need to account for multiple goals was observed relatively early. Hoffman [1955], while describing 'what seem to be the prin cipal areas (in linear prograrrrning) where new ideas and new methods are needed' gives an exanple with conflicting goals. In this pro blem, the assignrrent of relative weights is a great problem for the planning staff and is 'probably not the province of the mathemati cian engaged in solving this problem'. These remarks were true pre cursors of later develor:nents. Nevertheless, the need for methods dealing with multiple goals was not widely recognized until much later.



Intelligent Strategies For Meta Multiple Criteria Decision Making


Intelligent Strategies For Meta Multiple Criteria Decision Making
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Author : Thomas Hanne
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Intelligent Strategies For Meta Multiple Criteria Decision Making written by Thomas Hanne and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Over the past twenty years, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is today's problem for a decision support researcher and decision-maker. Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems.