Project Selection Under Uncertainty

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Publisher : Springer Science & Business Media
ISBN 13 : 1441990801
Total Pages : 152 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Project Selection Under Uncertainty by : Stylianos Kavadias

Download or read book Project Selection Under Uncertainty written by Stylianos Kavadias and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project Selection Under Uncertainty is the result of a five-year research program on the selection of projects in New Product Development (NPD). Choosing the New Product Development portfolio is of critical importance in today's business environment. The NPD portfolio has considerable strategic effect on the "middle term" success of a business. This book takes a step in developing a theory that addresses the need for quantitative prioritization criteria within the broader strategic context of the R&D portfolios. Its foundation lies in mathematical theory of resource-constrained optimization with the goal to maximize quantitative returns. The book seeks to broaden the portfolio discussion in two ways. First, simplified models - appropriate for the data-poor NPD context - are developed, which attempt to illuminate the structure of the choice problem and robust qualitative rules of thumb, rather than detailed algorithmic decision support. Such robust rules can be applied in the R&D environment of poor data availability. Second, the annual portfolio review is not the only important choice in resource allocation. In addition, the book discusses how ideas might be pre-screened as they emerge, and how projects should be prioritized once they are funded and ongoing.

Models & Methods for Project Selection

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Publisher : Springer Science & Business Media
ISBN 13 : 1461502802
Total Pages : 203 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Models & Methods for Project Selection by : Samuel B. Graves

Download or read book Models & Methods for Project Selection written by Samuel B. Graves and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes: *Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem. *Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. *Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.

Models & Methods for Project Selection

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Publisher : Springer
ISBN 13 : 9781461350019
Total Pages : 193 pages
Book Rating : 4.3/5 (5 download)

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Book Synopsis Models & Methods for Project Selection by : Samuel B. Graves

Download or read book Models & Methods for Project Selection written by Samuel B. Graves and published by Springer. This book was released on 2012-12-22 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes: *Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem. *Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. *Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.

A Goal Programming Approach to Project Selection Under Uncertainty

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Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (797 download)

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Book Synopsis A Goal Programming Approach to Project Selection Under Uncertainty by : Eduardo Miguel Jimenez

Download or read book A Goal Programming Approach to Project Selection Under Uncertainty written by Eduardo Miguel Jimenez and published by . This book was released on 1983 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Project Selection Under Uncertainty

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Publisher :
ISBN 13 : 9781441990815
Total Pages : 164 pages
Book Rating : 4.9/5 (98 download)

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Book Synopsis Project Selection Under Uncertainty by : Stylianos Kavadias

Download or read book Project Selection Under Uncertainty written by Stylianos Kavadias and published by . This book was released on 2004-01-01 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling

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Publisher : Springer Nature
ISBN 13 : 3030883159
Total Pages : 218 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling by : Kyle Robert Harrison

Download or read book Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling written by Kyle Robert Harrison and published by Springer Nature. This book was released on 2021-11-13 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times. It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this problem make use of exact solvers. While exact solvers provide definitive optimal solutions, they quickly become prohibitively expensive in terms of computation time when the problem size is increased. In contrast, evolutionary and memetic computing afford the capability for autonomous heuristic approaches and expert knowledge to be combined and thereby provide an efficient means for high-quality approximation solutions to be attained. As such, these approaches can provide near real-time decision support information for portfolio design that can be used to augment and improve existing human-centric strategic decision-making processes. This edited book provides the reader with a broad overview of the PPSSP, its associated challenges, and approaches to addressing the problem using evolutionary and memetic computing.

Optimal Investment Decision-making for Highway Transportation Asset Management Under Risk and Uncertainty

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Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Optimal Investment Decision-making for Highway Transportation Asset Management Under Risk and Uncertainty by : Zongzhi Li

Download or read book Optimal Investment Decision-making for Highway Transportation Asset Management Under Risk and Uncertainty written by Zongzhi Li and published by . This book was released on 2007 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook on Project Management and Scheduling Vol. 2

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Publisher : Springer
ISBN 13 : 3319059157
Total Pages : 768 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Handbook on Project Management and Scheduling Vol. 2 by : Christoph Schwindt

Download or read book Handbook on Project Management and Scheduling Vol. 2 written by Christoph Schwindt and published by Springer. This book was released on 2015-01-13 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increasing importance of product differentiation and collapsing product life cycles, a growing number of value-adding activities in the industry and service sector are organized in projects. Projects come in many forms, often taking considerable time and consuming a large amount of resources. The management and scheduling of projects represents a challenging task and project performance may have a considerable impact on an organization's competitiveness. This handbook presents state-of-the-art approaches to project management and scheduling. More than sixty contributions written by leading experts in the field provide an authoritative survey of recent developments. The book serves as a comprehensive reference, both, for researchers and project management professionals. The handbook consists of two volumes. Volume 1 is devoted to single-modal and multi-modal project scheduling. Volume 2 presents multi-project problems, project scheduling under uncertainty and vagueness, managerial approaches and a separate part on applications, case studies and information systems.

Decision Making under Deep Uncertainty

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Publisher : Springer
ISBN 13 : 3030052524
Total Pages : 408 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Decision Making under Deep Uncertainty by : Vincent A. W. J. Marchau

Download or read book Decision Making under Deep Uncertainty written by Vincent A. W. J. Marchau and published by Springer. This book was released on 2019-04-04 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Advances in Intelligent Systems and Computing

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Publisher : Springer
ISBN 13 : 3319459910
Total Pages : 322 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Advances in Intelligent Systems and Computing by : Natalya Shakhovska

Download or read book Advances in Intelligent Systems and Computing written by Natalya Shakhovska and published by Springer. This book was released on 2016-09-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issue in big data and cloud computing, computation linguistics, cyber-physical systems as well as topics in intelligent information management. Written by active researchers, the different chapters are based on contributions presented at the workshop in intelligent systems and computing (ISC), held during CSIT 2016, September 6-9, and jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. All in all, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and it is expected to foster new discussions and collaborations among different groups.

A Normative Model of R & D Project Selection Under Uncertainty

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Publisher :
ISBN 13 :
Total Pages : 556 pages
Book Rating : 4.:/5 (244 download)

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Book Synopsis A Normative Model of R & D Project Selection Under Uncertainty by : Henry Ford

Download or read book A Normative Model of R & D Project Selection Under Uncertainty written by Henry Ford and published by . This book was released on 1978 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Industry 4.0 and 5G Technology

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Publisher : John Wiley & Sons
ISBN 13 : 1119798760
Total Pages : 356 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Artificial Intelligence in Industry 4.0 and 5G Technology by : Pandian Vasant

Download or read book Artificial Intelligence in Industry 4.0 and 5G Technology written by Pandian Vasant and published by John Wiley & Sons. This book was released on 2022-07-20 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.

Techniques for Project Appraisal Under Uncertainty

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Publisher : Johns Hopkins University Press
ISBN 13 :
Total Pages : 120 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Techniques for Project Appraisal Under Uncertainty by : Shlomo Reutlinger

Download or read book Techniques for Project Appraisal Under Uncertainty written by Shlomo Reutlinger and published by Johns Hopkins University Press. This book was released on 1970 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The appraisal of events that have uncertain outcomes is discussed with particular reference to a feasible method for evaluating the riskiness of investment projects. The essence of the uncertainty problem is that many of the variables affecting the outcome of a particular plan are outside of the planner's control. Uncertainty, which is relevant for most decisions, is best characterized in terms of a decision agent's subjective beliefs about probabilities. The probabilistic approach lends itself best to an appraisal of possible outcomes of a project that is affected by uncertainties from many sources. Probability judgments about many basic variables and parameters affecting the final outcome can be aggregated into an estimate of the probability distribution of that final outcome. This aggregation method is demonstrated for calculation of the economic returns of a project. The method of approximation by a simulated sample is described, and its application to probability distribution rates of returns from actual projects is explained. The preparation of a mathematical model is detailed, emphasizing the usefulness of computerized calculations. Fourteen tables and nine figures are provided.

Operations Research and Enterprise Systems

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Publisher : Springer Nature
ISBN 13 : 303110725X
Total Pages : 240 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Operations Research and Enterprise Systems by : Greg H. Parlier

Download or read book Operations Research and Enterprise Systems written by Greg H. Parlier and published by Springer Nature. This book was released on 2022-07-29 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes extended and revised versions of selected papers from the 9th and 10th edition of the International Conference on Operations Research and Enterprise Systems (ICORES 2020 and ICORES 2021). ICORES 2020 was held in Valletta, Malta from 22 – 24 of February 2020, and ICORES 2021 was held as an online event due to the Covid-19 pandemic, from 4 – 6 of February 2021. The 11 full papers included in this book were carefully reviewed and selected from 132 submissions. The ICORES 2020 and 2021 book contains extended and revised version of proceedings papers dealing with operations research and enterprise systems.

Decision Support for Product Development

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Publisher : Springer Nature
ISBN 13 : 303043897X
Total Pages : 124 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Decision Support for Product Development by : Marcin Relich

Download or read book Decision Support for Product Development written by Marcin Relich and published by Springer Nature. This book was released on 2020-11-22 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling. The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.

Decision Making in the Manufacturing Environment

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Publisher : Springer Science & Business Media
ISBN 13 : 1846288193
Total Pages : 369 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Decision Making in the Manufacturing Environment by : Ravipudi Venkata Rao

Download or read book Decision Making in the Manufacturing Environment written by Ravipudi Venkata Rao and published by Springer Science & Business Media. This book was released on 2007-06-06 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be used in manufacturing. It proposes a methodology that will make decision making in the manufacturing environment structured and systematic. The book uses case studies to present the applications of decision making methods in real manufacturing situations.

Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM

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Publisher : Springer Nature
ISBN 13 : 3030436160
Total Pages : 548 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM by : Zoran Anisic

Download or read book Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM written by Zoran Anisic and published by Springer Nature. This book was released on 2020-03-20 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the conference proceedings of the 25th edition of the International Joint Conference on Industrial Engineering and Operations Management. The conference is organized by 6 institutions (from different countries and continents) that gather a large number of members in the field of operational management, industrial engineering and engineering management. This edition of the conference had the title: THE NEXT GENERATION OF PRODUCTION AND SERVICE SYSTEMS in order to emphasis unpredictable and very changeable future. This conference is aimed to enhance connection between academia and industry and to gather researchers and practitioners specializing in operation management, industrial engineering, engineering management and other related disciplines from around the world.