Engineering Managerial Economic Decision and Risk Analysis, Cotter
Автор: Cotter Название: Engineering Managerial Economic Decision and Risk Analysis ISBN: 3030877663 ISBN-13(EAN): 9783030877668 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Нет в наличии. Описание: This book directs the engineering manager or the undergraduate student preparing to become an engineering manager, who is or will become actively engaged in the management of economic-risk trade-off decisions for engineering investments within an organizational system.
Название: Productivity and Efficiency Analysis ISBN: 9811329826 ISBN-13(EAN): 9789811329821 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Linking fields as diverse as index number theory, data envelopment analysis and stochastic frontier analysis, the book explains how to compute measures of input and output quantity change that are consistent with measurement theory.
Автор: Adam Rose; Fynnwin Prager; Zhenhua Chen; Samrat Ch Название: Economic Consequence Analysis of Disasters ISBN: 9811025665 ISBN-13(EAN): 9789811025662 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Yoe Название: Primer on Risk Analysis ISBN: 1138312282 ISBN-13(EAN): 9781138312289 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: New in this edition is an expanded risk management emphasis that includes an overview chapter on enterprise risk management and a chapter on decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and their outcomes.
Автор: Yoe Название: Primer on Risk Analysis ISBN: 0367075180 ISBN-13(EAN): 9780367075187 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: New in this edition is an expanded risk management emphasis that includes an overview chapter on enterprise risk management and a chapter on decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and their outcomes.
Автор: Louis Anthony Cox Jr.; Douglas A. Popken; Richard Название: Causal Analytics for Applied Risk Analysis ISBN: 3030086534 ISBN-13(EAN): 9783030086534 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.
The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.
Chapter 1: Risk assessment: indicators and organizational models
Chapter 2: An integrated Bayesian BWM and classifiable TOPSIS model for risk assessment
Chapter 3: A modified risk prioritization approach using best-worst method
Chapter 4: Fuzzy Risk Assessment In the Presence of Uncertainties in Heterogeneous Preferences Elicitation and Reliability
Chapter 5: Assessment of COVID-19 transmission risk through fuzzy inference system; an application for mining activities
Chapter 6: Simulation Output Analysis for Risk Assessment and Mitigation
Chapter 7: Cause-Effect Analysis, Barriers Identification and Policy Implications for China's Energy Security
Chapter 8: Quantitative Risk Assessment and Management of Cash-in-Transit Vehicle Routing Problems
Chapter 9: Mitigating Energy Supply Risks: Factors Identification and Pathway Selection for China's Renewable Energy Development Fuzzy PROMETHEE
Chapter 10: Sustainability risks of resource-exhausted cities in China: A principal component analysis
Автор: Render, Barry Munson, Chuck Название: Managerial decision modeling ISBN: 1501515101 ISBN-13(EAN): 9781501515101 Издательство: Walter de Gruyter Рейтинг: Цена: 215090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations.
The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models.
The additional material files
Chapter 12
Excel files for each chapter
Excel modules for Windows
Excel modules for Mac
4th edition errata
can be found at https: //www.degruyter.com/view/product/486941
Автор: Frederik Drescher Название: Insolvency Timing and Managerial Decision-Making ISBN: 3658028181 ISBN-13(EAN): 9783658028183 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: ГЇВїВЅ Frederik Drescher addresses the timing of non-mandatory insolvency filings based on threatening illiquidity ( 18 InsO) with the aim of a company`s restructuring as an agency problem between owners and management.
Автор: Porter Remington Название: Managerial Decision Modeling ISBN: 1635491703 ISBN-13(EAN): 9781635491708 Издательство: Неизвестно Цена: 152350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book aims to shed light on some of the unexplored aspects of managerial decision modeling. It provides the students with the basic information related to this subject. Managerial decision model refers to a decision model that contains an action axiom. This axiomatic system has four steps namely, formulate, then evaluate, appraise and finally refine. This text is a valuable compilation of topics, ranging from the basic to the most complex theories and principles in the field of managerial decision modeling. It unfolds the innovative aspects of managerial decision modeling which will be crucial for the holistic understanding of the subject matter. This textbook is meant for students who are looking for an elaborate reference text on the subject.
Автор: Zhaohao Sun Название: Managerial Perspectives on Intelligent Big Data Analytics ISBN: 1522572775 ISBN-13(EAN): 9781522572770 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 219910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.
Автор: Woody Liao, Andrew Schiff, Stacy Kline, Hsihui Chang Название: Cost Accounting for Managerial Planning, Decision Making and Control ISBN: 1621311023 ISBN-13(EAN): 9781621311027 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 126590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Emphasizes the analysis and evaluation of cost accounting information for managerial planning, control, and decision-making. The goal is to help students (future managers) understand how cost accounting information adds value to an organisation in a highly competitive business environment.
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