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Author: Carnero, María Carmen
Publisher: IGI Global
ISBN: 1522506527
Category : Business & Economics
Languages : en
Pages : 523
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Book Description
Asset management is becoming increasingly important to an organization’s strategy, given its effects on cost, production, and quality. No matter the sector, important decisions are made based on techniques and theories that are thought to optimize results; asset management models and techniques could help maximize effectiveness while reducing risk. Optimum Decision Making in Asset Management posits that effective decision making can be augmented by asset management based on mathematical techniques and models. Resolving the problems associated with minimizing uncertainty, this publication outlines a myriad of methodologies, procedures, case studies, and management tools that can help any organization achieve world-class maintenance. This book is ideal for managers, manufacturing engineers, programmers, academics, and advanced management students.
Author: Carnero, María Carmen
Publisher: IGI Global
ISBN: 1522506527
Category : Business & Economics
Languages : en
Pages : 523
Get Book
Book Description
Asset management is becoming increasingly important to an organization’s strategy, given its effects on cost, production, and quality. No matter the sector, important decisions are made based on techniques and theories that are thought to optimize results; asset management models and techniques could help maximize effectiveness while reducing risk. Optimum Decision Making in Asset Management posits that effective decision making can be augmented by asset management based on mathematical techniques and models. Resolving the problems associated with minimizing uncertainty, this publication outlines a myriad of methodologies, procedures, case studies, and management tools that can help any organization achieve world-class maintenance. This book is ideal for managers, manufacturing engineers, programmers, academics, and advanced management students.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309089190
Category : Technology & Engineering
Languages : en
Pages : 160
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Book Description
Facilities now owned by the Federal Government are valued at over $300 billion. It also spends over $25 billion per year for acquisition, renovation, and upkeep. Despite the size of these sums, there is a growing litany of problems with federal facilities that continues to put a drain on the federal budget and compromise the effectiveness of federal services. To examine ways to address these problems, the sponsoring agencies of the Federal Facilities Council (FFC) asked the National Research Council (NRC) to develop guidelines for making improved decisions about investment in and renewal, maintenance, and replacement of federal facilities. This report provides the result of that assessment. It presents a review of both public and private practices used to support such decision making and identifies appropriate objectives, practices, and performance measures. The report presents a series of recommendations designed to assist federal agencies and departments improve management of and investment decision making for their facilities.
Author: Rengarajan Srinivasan
Publisher: ICE Publishing
ISBN: 9780727760616
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
Whole-Life Value-Based Decision-Making in Asset Management is a comprehensive guide to improving the effectiveness of infrastructure asset management by determining the level of expenditure on infrastructure assets in order to maximise life-cycle value.
Author: Zongzhi Li
Publisher:
ISBN:
Category : Highway departments
Languages : en
Pages : 220
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Book Description
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95
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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author: González-Prida, Vicente
Publisher: IGI Global
ISBN: 1799832481
Category : Business & Economics
Languages : en
Pages : 423
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Book Description
Business industries depend on advanced models and tools that provide an optimal and objective decision-making process, ultimately guaranteeing improved competitiveness, reducing risk, and eliminating uncertainty. Thanks in part to the digital era of the modern world, reducing these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts provides research exploring the theoretical and practical aspects of effective decision making based not only on mathematical techniques, but also on those technological tools that are available nowadays in the Fourth Industrial Revolution. Featuring coverage on a broad range of topics such as industrial informatics, knowledge management, and production planning, this book is ideally designed for decision makers, researchers, engineers, academicians, and students.
Author: Marcia W. Blenko
Publisher: Harvard Business Press
ISBN: 1422147576
Category : Business & Economics
Languages : en
Pages : 182
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Book Description
-Identify your critical decisions. Focus on those that matter most to your company's performance. --
Author: Maclean Leonard C
Publisher: World Scientific
ISBN: 981441736X
Category : Business & Economics
Languages : en
Pages : 940
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Book Description
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2nd edition published in 2006).
Author: Giorgio Consigli
Publisher: Springer
ISBN: 3319416138
Category : Business & Economics
Languages : en
Pages : 298
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Book Description
The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management. The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows: Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas. Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applications The inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods. Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems. Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.
Author: Alireza Mohammadi
Publisher: Springer Nature
ISBN: 3030976149
Category : Business & Economics
Languages : en
Pages : 210
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Book Description
This textbook provides practical and concrete guidance for the step-by-step implementation of decision-making for infrastructure asset management. Examples are used to illustrate how data from condition assessment are used to develop performance models, to estimate the effectiveness of investments that are prioritized and scheduled to accomplish reliable and convenient infrastructure for the wellbeing of the public and regional economic competitiveness. Book illustrates numerous worked problems to clarify ambiguity in developing a decision-making platform to prioritize assets and distribute budgets effectively and efficiently. Ensures reader understanding of the benefits and challenges of infrastructure asset management; Provides a step-by-step guide for the development of each component of an asset management decision-making system; Includes worked examples to clarify decision-making and budget allocation process.
