Books in the International Series in Operations Research & Management Science series

This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems arising in global financial and commodity markets from the perspective of Operations Research and Management Science. The book is structured in three parts, emphasizing common methodological approaches arising in the areas of interest: -          Part I: Optimization techniques -          Part II: Pricing and Valuation -          Part III: Risk Modeling The book presents to a wide community of Academics and Practitioners a selection of theoretical and applied contributions on topics that have recently attracted increasing interest in commodity and financial markets. Within a structure based on the three parts, it presents recent state-of-the-art and original works related to: -          The adoption of multi-criteria and dynamic optimization approaches in financial and insurance markets in presence of market stress and growing systemic risk; -          Decision paradigms, based on behavioral finance or factor-based, or more classical stochastic optimization techniques, applied to portfolio selection problems including new asset classes such as alternative investments; -          Risk measurement methodologies, including model risk assessment, recently applied to energy spot and future markets and new risk measures recently proposed to evaluate risk-reward trade-offs in global financial and commodity markets; and derivatives portfolio hedging and pricing methods recently put forward in the financial community in the aftermath of the global financial crisis.

This book focuses on optimal control and systems engineering in the big data era. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications.

This book is an expository introduction to the methodology of sensitivity analysis of model output.

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance.

This book grows from a conference on the state of the art and recent advances in Efficiency and Productivity. Papers were commissioned from leading researchers in the field, and include eight explorations into the analytical foundations of efficiency and productivity analysis. Chapters on modeling advances include reverse directional distance function, a new method for estimating technological production possibilities, a new distance function called a loss distance function, an analysis of productivity and price recovery indices, the relation of technical efficiency measures to productivity measures, the implications for benchmarking and target setting of imposing weight restrictions on DEA models, weight restrictions in a regulatory setting, and the Principle of Least Action.Chapters on empirical applications include a study of innovative firms that use innovation inputs to produce innovation outputs, a study of the impact of potential ¿coopetition¿ or cooperation among competitors on the financial performance of European automobile plants, using SFA to estimate the eco-efficiency of dairy farms in Spain, a DEA bankruptcy prediction model, a combined stochastic cost frontier analysis model/mixture hazard model, the evolution of energy intensity in nine Spanish manufacturing industries, and the productivity of US farmers as they age.

This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.

This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them.

This book begins with a review of basic results in optimal search for a stationary target. Next it develops methods for computing optimal search plans involving multiple targets and multiple searchers with realistic operational constraints on search movement.

This book provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust.

Chapter 1. Introduction to scheduling in Industry 4.0 and cloud manufacturing systems.- Chapter 2. Proactive scheduling and reactive real time control in Industry 4.0 .- Chapter 3. Using a digital-twin for production planning and control in Industry 4.0.- Chapter 4. Adaptive Scheduling in the era of Cloud Manufacturing.- Chapter 5. Cloud Material Handling Systems: conceptual model and cloud-based scheduling of handling activities.- Chapter 6. Coupling robust optimization and Model-Checking techniques for robust scheduling in the context of Industry 4.0.- Chapter 7. Integrated scheduling of information services and logistics flows in the omnichannel system.- Chapter 8. Human-oriented assembly line balancing and sequencing model in the Industry 4.0 era.- Chapter 9. A generic decision support tool to planning and assignment problems: Industrial applications & Industry 4.0.- Chapter 10. The Manufacturing Planning and Control system: a journey towards the new perspectives in Industry 4.0 architectures.- Chapter 11. Multi-criteria single batch machine scheduling under time-of-use tariffs.- Chapter 12. Service composition in cloud manufacturing: a DQN-based approach.- Chapter 13. The Tolerance Scheduling Problem in a single machine case.

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.

These three clusters are further subdivided into five parts which correspond to the main phases of the railway network planning process: network assessment, capacity planning, timetabling, resource planning, and operational planning.

This volume provides a survey of current research problems and results in humanitarian operations research. Additionally, it discusses existing applications of humanitarian operations research, and considers new research efforts that clearly extend existing research and applications.

This book provides the first unified treatment of logistics systems available to the field. There has been considerable growth in the logistics area and as a result, there is a need for a book that examines these developments as a systematic whole.

By exposing students to a variety of applications in a variety of areas and explaining how they can be modeled and solved, the book helps students develop the skills needed for modeling and solving problems that they may face in the workplace.

Game theory has been applied to a growing list of practical problems, from antitrust analysis to monetary policy; The purpose of Game Theory and Business Applications is to show how game theory can be used to model and analyze business decisions.

This book reviews operations research theory, applications and practice in airline planning and operations. It examines the business and technical landscape, details best practices, and identifies open questions and areas for future research.

The new edition of this book shows how economists can use the analytical network process to supplement mathematical models, how it helps social scientists derive measurements for intangibles, and how engineers can link hard measurement to human values.

This book covers recent advances in efficiency evaluations, particularly data envelopment analysis (DEA) and stochastic frontier analysis (SFA) methods. It introduces the underlying theories, demonstrates the necessary calculations and discusses applications.

This book is focused on the impact of ocean transport logistics on global supply chains. Finally Part III explores at shippers and global supply chain management, with chapters on transportation service procurement, hinterland transportation, green corridors, as well as competition and co-operation in maritime logistics operations.

a

In the foreword to Supply Chain Structures, Professor Paul Zipkin notes three global changes that have enabled the recent vast developments in the field of supply chains.

As optimization technology improves, the electric power industry is undergoing radical restructuring, and the role of commitment models is changing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions.

This text addresses the modeling of scenarios in virtually every combat area including shooting without feedback, shooting with feedback, target defense, attrition models, game theory and wargames, search, unmanned aerial vehicles, and terror and insurgency.

Project scheduling problems are, generally speaking, the problems of allocating scarce resources over time to perform a given set of activities. ), Advances in Project Scheduling, Elsevier, 1989, summarizing the state-of-the-art across project scheduling problems, was published.

Other goals are to edit the known results in a unified manner, classify them and identify where and how they relate to each other, and fill in some gaps with new results. we have highlighted the results For each topic covered in the book, that, in our opinion, are the most important.

The generalized area of multiple criteria decision making (MCDM) can be defined as the body of methods and procedures by which the concern for multiple conflicting criteria can be formally incorporated into the analytical process.

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems.

It unifies the field, drawing from industry sources as well as relevant research from disparate disciplines, as well as documenting industry practices and implementation details. Successful hardcover version published in April 2004.