Portfolio Decision Analysis

Author: Ahti Salo
Publisher: Springer Science & Business Media
ISBN: 9781441999436
Format: PDF, Kindle
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Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to 'lumpy' investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities. In particular, it discusses the evolution of these methods, presents new methodological advances and illustrates their use across several application domains. The book offers a many-faceted treatment of portfolio decision analysis (PDA). Among other things, it (i) synthesizes the state-of-play in PDA, (ii) describes novel methodologies, (iii) fosters the deployment of these methodologies, and (iv) contributes to the strengthening of research on PDA. Portfolio problems are widely regarded as the single most important application context of decision analysis, and, with its extensive and unique coverage of these problems, this book is a much-needed addition to the literature. The book also presents innovative treatments of new methodological approaches and their uses in applications. The intended audience consists of practitioners and researchers who wish to gain a good understanding of portfolio decision analysis and insights into how PDA methods can be leveraged in different application contexts. The book can also be employed in courses at the post-graduate level.

New Perspectives on Applied Industrial Tools and Techniques

Author: Jorge Luis García-Alcaraz
Publisher: Springer
ISBN: 331956871X
Format: PDF, Docs
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This book disseminates the current trends among innovative and high-quality research regarding the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced industrial tools and techniques and their application in different fields. It presents a collection of theoretical, real-world and original research works in the field of applied industrial tools and techniques. The text goes beyond the state-of-the-art in the field of industrial and software engineering, listing successful applications and use cases of studies of new approaches, applications, methods, techniques for developing advanced industrial tools, methodologies and techniques and their application in different fields. The topics covered in this book are of interest to academics, researchers, students, stakeholders and consultants.

Technology Portfolio Planning and Management

Author: Oliver Yu
Publisher: Springer Science & Business Media
ISBN: 0387354484
Format: PDF, ePub
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This book examines concepts and tools for selecting and modifying a combination of technologies that will be either developed by a technology supply organization, such as a national laboratory or a corporate research center, or adopted by a technology application organization, such as a government administrative office or a corporation management department, to either advance public goals or enhance corporate strategies.

Optimizing Corporate Portfolio Management

Author: Anand Sanwal
Publisher: John Wiley & Sons
ISBN: 9780470149607
Format: PDF, Mobi
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If where an organization allocates its resources determines its strategy, why is it that so few companies actively manage the resource allocation process? "Optimizing Corporate Portfolio Management: Aligning Investment Proposals with Organizational Strategy" goes beyond platitudes about why you should use corporate portfolio management (CPM) by offering a practical methodology to bring this powerful discipline to your organization. "Optimizing Corporate Portfolio Management" takes an expansive view of where CPM can be utilized by demonstrating that it can be used across any business line, product group or functional area, e.g., IT, R&D, innovation, marketing, salesforce, capital expenditure, etc. CPM is appropriate anywhere discretionary investments are being selected and executed. As a result, other terms used to describe portfolio management such as IT portfolio management, enterprise portfolio management, and project portfolio management are all merely subsets or slices of CPM. The book is written by Anand Sanwal, an expert on CPM, who has led American Express' CPM discipline (referred to as American Express Investment Optimization). American Express' CPM efforts are widely recognized as the most extensive, substantial and progressive deployment of CPM across any organization. Sanwal avoids academic theories and consultant jargon to ultimately deliver pragmatic and proven recommendations on how to make CPM a reality. The book features a foreword by Gary Crittenden, former CFO and EVP of American Express, and several case studies from leading financial services, technology, and government organizations utilizing CPM. Additionally, the book has received significant praise from thought leaders at Google, HP, American Express, The CFO Executive Board, Gartner, Accenture Marketing Sciences, The Wharton School of Business and many others.

Multicriteria and Multiobjective Models for Risk Reliability and Maintenance Decision Analysis

Author: Adiel Teixeira de Almeida
Publisher: Springer
ISBN: 3319179691
Format: PDF, ePub, Docs
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This book integrates multiple criteria concepts and methods for problems within the Risk, Reliability and Maintenance (RRM) context. The concepts and foundations related to RRM are considered for this integration with multicriteria approaches. In the book, a general framework for building decision models is presented and this is illustrated in various chapters by discussing many different decision models related to the RRM context. The scope of the book is related to ways of how to integrate Applied Probability and Decision Making. In Applied Probability, this mainly includes: decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance. In Decision Making, it includes a broad range of topics in MCDM (Multi-Criteria Decision Making) and MCDA (Multi-Criteria Decision Aiding; also known as Multi-Criteria Decision Analysis). In addition to decision analysis, some of the topics related to Mathematical Programming area are briefly considered, such as multiobjective optimization, since methods related to these topics have been applied to the context of RRM. The book addresses an innovative treatment for the decision making in RRM, thereby improving the integration of fundamental concepts from the areas of both RRM and decision making. This is accomplished by presenting an overview of the literature on decision making in RRM. Some pitfalls of decision models when applying them to RRM in practice are discussed and guidance on overcoming these drawbacks is offered. The procedure enables multicriteria models to be built for the RRM context, including guidance on choosing an appropriate multicriteria method for a particular problem faced in the RRM context. The book also includes many research advances in these topics. Most of the multicriteria decision models that are described are specific applications that have been influenced by this research and the advances in this field. Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis is implicitly structured in three parts, with 12 chapters. The first part deals with MCDM/A concepts methods and decision processes. The second part presents the main concepts and foundations of RRM. Finally the third part deals with specific decision problems in the RRM context approached with MCDM/A models.

Strategic Decision Making

Author: Craig W. Kirkwood
Publisher: Duxbury Resource Center
Format: PDF
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This work on strategic decision making focuses on multi-objective decision analysis with spreadsheets

Multi Criteria Decision Analysis to Support Healthcare Decisions

Author: Kevin Marsh
Publisher: Springer
ISBN: 3319475401
Format: PDF
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Representing the first collection on the topic, this book builds from foundations to case studies, to future prospects, providing the reader with a rich and comprehensive understanding of the use of multi-criteria decision analysis (MCDA) in healthcare. The first section of the collection presents the foundations of MCDA as it is applied to healthcare decisions, providing guidance on the ethical and theoretical underpinnings of MCDA and how to select MCDA methods appropriate to different decision settings. Section two comprises a collection of case studies spanning the decision continuum, including portfolio development, benefit–risk assessment, health technology assessment, priority setting, resource optimisation, clinical practice and shared decision making. Section three explores future directions in the application of MCDA to healthcare and identifies opportunities for further research to support these.

Theory and Methods for Supporting High Level Military Decisionmaking

Author: Paul K. Davis
Publisher: Rand Corporation
ISBN: 0833040391
Format: PDF
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This report describes an approach to high-level decision support that deals explicitly with uncertainty in effects-based operations or planning future forces with the methods of capabilities-based planning. Two approaches are described, one using portfolio-style thinking and analysis, the other a novel modification of foresight exercises that addresses inclusion of humans in dealing with uncertainty. Some investment priorities are also recommended.

Project Portfolio Management Strategies for Effective Organizational Operations

Author: Romano, Luca
Publisher: IGI Global
ISBN: 1522521526
Format: PDF, Docs
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Continuous improvements in project portfolio management have allowed for optimized strategic planning and business process improvement. This not only leads to more streamlined processes, methods, and technologies, but it increases the overall productivity of companies. Project Portfolio Management Strategies for Effective Organizational Operations is a key resource on the latest advances and research regarding strategic initiatives for portfolio and program management. Highlighting multidisciplinary studies on value creation, portfolio governance and communication, and integrated circular models, this publication is an ideal reference source for professionals, researchers, business managers, consultants, and university students in economics, management, and engineering.

Strategic Allocation of Resources Using Linear Programming Model with Parametric Analysis in MATLAB and Excel Solver

Author: Dinesh Gupta
Publisher: Anchor Academic Publishing (aap_verlag)
ISBN: 3954892804
Format: PDF
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Since the late 1940s, linear programming models have been used for many different purposes. Airline companies apply these models to optimize their use of planes and staff. NASA has been using them for many years to optimize their use of limited resources. Oil companies use them to optimize their refinery operations. Small and medium-sized businesses use linear programming to solve a huge variety of problems, often involving resource allocation. In my study, a typical product-mix problem in a manufacturing system producing two products (each product consists of two sub-assemblies) is solved for its optimal solution through the use of the latest versions of MATLAB having the command simlp, which is very much like linprog. As analysts, we try to find a good enough solution for the decision maker to make a final decision. Our attempt is to give the mathematical description of the product-mix optimization problem and bring the problem into a form ready to call MATLAB’s simlp command. The objective of this study is to find the best product mix that maximizes profit. The graph obtained using MATLAB commands, give the shaded area enclosed by the constraints called the feasible region, which is the set of points satisfying all the constraints. To find the optimal solution we look at the lines of equal profit to find the corner of the feasible region which yield the highest profit. This corner can be found out at the farthest line of equal profit, which still touches the feasible region. The most critical part is the sensitivity analysis, using Excel Solver, and Parametric Analysis, using computer software, which allows us to study the effect on optimal solution due to discrete and continuous change in parameters of the LP model including to identify bottlenecks. We have examined other options like product outsourcing, one-time cost, cross training of one operator, manufacturing of hypothetical third product on under-utilized machines and optimal sequencing of jobs on machines.