This book offers a timely snapshot of research and developments in the area of air traffic engineering and management. It covers mathematical, modeling, reliability and optimization methods applied for improving different stages of flight operations, including both aerodrome and terminal airspace operations. It analyses and highlights important legal and safety aspects, and discusses timely issues such as those concerned with Brexit and the use of unmanned aerial vehicles. Gathering selected papers presented at the 6th edition of the International Scientific Conference on Air Traffic Engineering, ATE 2020, held in October 2020 in Warsaw, Poland, this book offers a timely and inspiring source of information for both researchers and professionals in the field of air traffic engineering and management.

Field Programmable Gate Arrays (FPGAs) are currently recognized as the most suitable platform for the implementation of complex digital systems targeting an increasing number of industrial electronics applications. They cover a huge variety of application areas, such as: aerospace, food industry, art, industrial automation, automotive, biomedicine, process control, military, logistics, power electronics, chemistry, sensor networks, robotics, ultrasound, security, and artificial vision. This book first presents the basic architectures of the devices to familiarize the reader with the fundamentals of FPGAs before identifying and discussing new resources that extend the ability of the devices to solve problems in new application domains. Design methodologies are discussed and application examples are included for some of these domains, e.g., mechatronics, robotics, and power systems.

This handbook includes three parts, corresponding to the following three domains of OR/MS research related to sustainability: (i) Systems Design, Innovation, and Technology, (ii) Manufacturing, Logistics, and Transportation, and (iii) Sustainable Natural Resource Management. The first part of the handbook (Chapters 2-6) will focus on the creation and development of sustainable products, services, value chains, and organizations from a systems perspective. Key areas to be covered include Green Design & Innovation, Technology and Engineering Management, Sustainable Value Chain Systems, Sustainability Standards and Performance Evaluation, and Circular Economy and New Research Directions in Sustainability. The second part of the handbook (Chapters 7-11) will concentrate on the major operational and logistic issues faced by today's industries in pursuing sustainability. Key areas to be covered include Remanufacturing, Reverse Logistics, Closed-Loop Supply Chains, Sustainable Transportation, and New Research Directions in Green Supply Chain Management. The third part of the proposed handbook (Chapters 12-16) will center on major sustainability issues in managing engineering infrastructure and natural resources. Key areas to be covered include Renewable Energy, Sustainable Water Resource, Biofuel Infrastructure, Natural Gas, and New Research Direction in Sustainable Resource Management. The handbook aims to bridge the three main OR/MS research domains in sustainability: "Systems Design, Innovation, and Technology," "Manufacturing, Logistics, and Transportation," and "Sustainable Natural Resource Management." Traditionally, these domains are treated separately in the OR/MS literature. By combining the three domains, the handbook will provide a more holistic treatment of MS/OR methodologies to address critical sustainability issues faced by today's society. Unlike most existing handbooks which only focus on current OR/MS research in sustainability within a domain, this handbook will include a concluding chapter in each of the three parts to discuss and identify potential future research directions in each of the three main domains.

Network Function Virtualization (NFV) has recently attracted considerable attention from both research and industrial communities. Numerous papers have been published regarding solving the resource- allocation problems in NFV, from various perspectives, considering different constraints, and adopting a range of techniques. However, it is difficult to get a clear impression of how to understand and classify different kinds of resource allocation problems in NFV and how to design solutions to solve these problems efficiently. This book addresses these concerns by offering a comprehensive overview and explanation of different resource allocation problems in NFV and presenting efficient solutions to solve them. It covers resource allocation problems in NFV, including an introduction to NFV and QoS parameters modelling as well as related problem definition, formulation and the respective state-of-the-art algorithms. This book allows readers to gain a comprehensive understanding of and deep insights into the resource allocation problems in NFV. It does so by exploring (1) the working principle and architecture of NFV, (2) how to model the Quality of Service (QoS) parameters in NFV services, (3) definition, formulation and analysis of different kinds of resource allocation problems in various NFV scenarios, (4) solutions for solving the resource allocation problem in NFV, and (5) possible future work in the respective area.

This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes. Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different contexts and how to implement them. Of particular appeal are the instructions on (i) how to write the codes for different SFA models on STATA, (ii) how to write a VBA Macro for repetitive solution of the DEA problem for each production unit on Excel Solver, and (iii) how to write the codes for the Nonparametric Convex Frontier estimation. The three other papers in the volume are primarily theoretical and will be of interest to PhD students and researchers hoping to make methodological and conceptual contributions to the field of nonparametric efficiency analysis.

Over the last three decades the world economy has grown strongly on the back of 'globalization' supported by the policies of free-trade, open markets and privatisation. Support has also grown for the concept of 'sustainability', meeting the needs of the present without compromising the ability of future generations to meet their own needs. But as the Earth's systems come under increasing strain, the inherent conflict between sustainability and globalization has been exposed. Green Outcomes in a Real World examines the shift in thinking required to reconcile these two important areas of policy. In this ground breaking book, Peter McManners has coined the term 'Proximization' to define a new policy framework. The principles of Proximization are: 'sustainability', 'subsidiarity', 'primacy of the state' and 'market economics' and the application of these familiar concepts towards a sustainable globalised world is novel and different. The author argues that adherence to the principles of proximization will return world society to a stable natural order, and will mean changes. Global commodity flows will reduce and barriers to migration will increase. National governments will demand more control over their finances leading to restrictions on capital flows. Indeed, Peter believes that an element of 'selfish determination' is needed. The new world order will be sustainable by design. Global organisations such as the UN, national governments and global corporations will have to understand and apply a different paradigm. The arguments in this book do not reflect the idealism or even naivety of some of the green movement. This book is about hard-edged reality presented by an author with huge experience and a deep understanding of the business perspective. It will appeal to a wide range of professionals involved in setting policy and future direction for businesses, governments, and non-governmental bodies, as well as to those with an academic interest in business, economics, social and environmental issues, and public policy.

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and stochastic processes with a special emphasis on their applications in science, engineering, finance, computer science, and operations research. It covers the theoretical foundations for modeling time-dependent random phenomena in these areas and illustrates applications through the analysis of numerous practical examples. The author draws on his 50 years of experience in the field to give your students a better understanding of probability theory and stochastic processes and enable them to use stochastic modeling in their work. New to the Second Edition Completely rewritten part on probability theory-now more than double in size New sections on time series analysis, random walks, branching processes, and spectral analysis of stationary stochastic processes Comprehensive numerical discussions of examples, which replace the more theoretically challenging sections Additional examples, exercises, and figures Presenting the material in a student-friendly, application-oriented manner, this non-measure theoretic text only assumes a mathematical maturity that applied science students acquire during their undergraduate studies in mathematics. Many exercises allow students to assess their understanding of the topics. In addition, the book occasionally describes connections between probabilistic concepts and corresponding statistical approaches to facilitate comprehension. Some important proofs and challenging examples and exercises are also included for more theoretically interested readers.

This book serves as an introductory text in mathematical programming and optimization for students having a mathematical background that includes one semester of linear algebra and a complete calculus sequence. It includes computational examples to aid students develop computational skills.

Prevailing models of organisation divide people into owners, managers and employees, forcing especially the latter to obey, to behave, and to function well within a hierarchical and managerial pecking order. However, there is no natural law suggesting the need for such organisations, not in market economies and definitely not in modern democratic societies - and there is no justification for such types of organisation. Arguing that most current organisations are orthodox, hierarchical, anti-democratic, oppressive, unfair, and unjust, this book presents a viable alternative, a better type of organisation - the democratic organisation. Diefenbach develops and provides step by step a systematic, comprehensive, thorough, and detailed general model of the democratic organisation. He describes the democratic organisation's fundamental principles, values, governance, management, structures, and processes, and the ways it functions and operates both within the organisation and towards others and the environment. Crucially, and most importantly, the democratic organisation provides the institutions and organisational context for individuals to maintain and pursue their fundamental freedoms, inalienable rights, and dignity; to manage organisations in democratic, participative, and cooperative ways; and to conduct business in considerate, balanced, and sustainable ways. This book will be of interest to researchers, academics, practitioners, and students in the fields of management, organisation studies, strategic management, business ethics, entrepreneurship, and family business.

The book begins with an introduction to software reliability, models and techniques. The book is an informative book covering the strategies needed to assess software failure behaviour and its quality, as well as the application of optimization tools for major managerial decisions related to the software development process. It features a broad range of topics including software reliability assessment and apportionment, optimal allocation and selection decisions and upgradations problems. It moves through a variety of problems related to the evolving field of optimization of software reliability engineering, including software release time, resource allocating, budget planning and warranty models, which are each explored in depth in dedicated chapters. This book provides a comprehensive insight into present-day practices in software reliability engineering, making it relevant to students, researchers, academics and practising consultants and engineers.

This textbook provides an innovative pedagogy to students who will be the policy makers of tomorrow. It provides thoughts on sustainability and the complexity among its different dimensions. It guides students through experience, processes of complex decision making, and sharpen their clarity of thought, to enhance their communication abilities and help them develop critical thinking. It provides key competencies to address the complexities of sustainable development. By combining game-based learning with an analytical style of education, supplemental materials are provided to make the definitions of various sustainability aspects more concrete and allows students to experiment in a consequence-free environment, with scenario examples. Board Game and a hypothetical management course, dealing with various topics like transportation sustainability, societal metabolism, etc. as well as with decision making under those contexts, will formalize the mathematics needed to make robust decisions.

This textbook introduces systems science as an entry point to present a basic introduction to research models and methods in management science (operation research). This textbook selects the classic quantitative models and methods as well as rich cases and detailed examples, which are suitable for students with a certain management and economics knowledge for further study, and helps to develop the abilities of using the basic models in real life.

In the aftermath of the financial crisis, and regular corporate scandals, there has been a growing concern with the moral and ethical foundations of business. Often these concerns are limited to narrow accounts of governance codes, regulatory procedures or behaviour incentives, which are often characterized by neoliberal bias underpinned by western masculine logics. This book challenges these limited accounts of ethics and responsibility. It looks at the writing of Gayatri C. Spivak who takes globally networked markets, people and ideas and provides tools to rethink subjectivity, ethics and corporate governance. Eschewing strict hierarchical notions of authority and identity, Spivak's work invites us to consider who speaks for whom and for what in organizational contexts. Relationality is also to be found in the radical politics and feminist ethics of Judith Butler who continues to draw on and develop her account of performativity to interpret contemporary organizations, management and work. While popular accounts of corporate ethics often concern themselves with the aims and actions of those at the top of organizations, Lauren Berlant focuses on the struggles of those at the bottom of the new social structures created by contemporary forms of capital. Finally, the book also considers ecological challenges through the work of Val Plumwood, who spent a lifetime considering the threats and responsibilities we face in environmental terms, and developed a feminist ecological philosophy for understanding social and species differences. This book will be relevant to students and researchers across business and management, organizational studies, critical management studies, gender studies and sociology.

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data's impact on mobility patterns and urban planning.

This book analyzes the security of critical infrastructures such as road, rail, water, health, and electricity networks that are vital for a nation's society and economy, and assesses the resilience of these networks to intentional attacks. The book combines the analytical capabilities of experts in operations research and management, economics, risk analysis, and defense management, and presents graph theoretical analysis, advanced statistics, and applied modeling methods. In many chapters, the authors provide reproducible code that is available from the publisher's website. Lastly, the book identifies and discusses implications for risk assessment, policy, and insurability. The insights it offers are globally applicable, and not limited to particular locations, countries or contexts. Researchers, intelligence analysts, homeland security staff, and professionals who operate critical infrastructures will greatly benefit from the methods, models and findings presented. While each of the twelve chapters is self-contained, taken together they provide a sound basis for informed decision-making and more effective operations, policy, and defense.

The purpose of Business Process Engineering: Advancing the State of the Art is to outline the structure of Business Process Engineering (BPE), its practices, methods, and theory for implementing successful organization restructuring. BPE is the design and implementation of efficient and effective business processes, and the corresponding alignment of enabling information technologies and systems. The editors have assembled the best research on BPE and recreated a structured volume that provides academic researchers and practitioners with a theoretical and practical framework for implementing specific BPE solutions for business and government. Hence, the book covers theoretical efforts towards the creation of new methods in BPE and practical issues that relate to its actual implementation in the real world of business and government. Authors from industry, government, and academia have contributed individual chapters. The emphasis is on methodology that can be replicated. Industry and governmental contributors have provided a synthesis of BPE experiences or individual case studies. In both cases, the work is intended to lead to lessons learned that may be successfully employed by others. The academically oriented chapters relate BPE methodologies to other forms of organizational change, building on previous research in related areas. The chapters are grouped as follows: Structures for BPE, Model Development, Information Technology for BPE, Tools for BPE, and Case Studies of BPE. The goal of this volume is to present works that clarify the definition of the field and establish factors that lead to success in implementation. The editors' premise is that the objective of BPE is to bringabout organizational improvement by the application of scientific principles and the use of enabling information technologies. This new methodology, founded and nurtured in practice, will evolve into a mature academic field that will involve many diverse academic disciplines. This volume is intended to contribute to that development.

Global Business Intelligence refers to an organization's ability to gather, process and analyze pertinent international information in order to make optimal business decisions in a timely manner. With a challenging economic and geopolitical environment, companies and executives need to be adept at information gathering in order to manage emerging challenges and gain competitive advantages. This book Global Business Intelligence assembles a cast of international experts and thought leaders and explores the implications of business intelligence on contemporary management. Global Business Intelligence will be a key resource for researchers, academics, students and policy makers alike in the fields of International Business & Management, Business Strategy, and Geopolitics as well as related disciplines like Political Science, Economics, and Geography.

This is a book on how and why workers come together. Almost coincident with its inception, worker organisation is a central and enduring element of capitalism. In the 19th and 20th centuries' mobilisation by workers played a substantial role in reshaping critical elements of these societies in Europe, North America, Australasia and elsewhere including the introduction of minimum labour standards (living wage rates, maximum hours etc), workplace safety and compensation laws and the rise of welfare state more generally. Notwithstanding setbacks in recent decades, worker organisation represents a pivotal countervailing force to moderate the excesses of capitalism and is likely to become even more influential as the social consequences of rising global inequality become more manifest. Indeed, instability and periodic shifts in the respective influence of capital and labour are endemic to capitalism. As formal institutions have declined in some countries or unions outlawed and severely repressed in others, there has been growing recognition of informal strike activity by workers and wider alliances between unions and community organisations in others. While such developments are seen as new they aren't. Indeed, understanding of worker organisation is often ahistorical and even those understandings informed by historical research are, this book will argue, in need of revision. This book provides a new perspective on and new insights into how and why workers organise, and what shapes this organisation. The Origins of Worker Mobilisation will be key reading for scholars, academics and policy makers the fields of industrial relations, HRM, labour economics, labour history and related disciplines.

Two-person zero-sum game theory deals with situations that are perfectly competitive there are exactly two decision makers for whom there is no possibility of cooperation or compromise. It is the most fundamental part of game theory, and the part most commonly applied. There are diverse applications to military battles, sports, parlor games, economics and politics. The theory was born in World War II, and has by now matured into a significant and tractable body of knowledge about competitive decision making. The advent of modern, powerful computers has enabled the solution of many games that were once beyond computational reach.

"Two-Person Zero-Sum Games, 4th Ed." offers an up-to-date introduction to the subject, especially its computational aspects. Any finite game can be solved by the brute force method of enumerating all possible strategies and then applying linear programming. The trouble is that many interesting games have far too many strategies to enumerate, even with the aid of computers. After introducing ideas, terminology, and the brute force method in the initial chapters, the rest of the book is devoted to classes of games that can be solved without enumerating every strategy. Numerous examples are given, as well as an extensive set of exercises. Many of the exercises are keyed to sheets of an included Excel workbook that can be freely downloaded from the SpringerExtras website. This new edition can be used as either a reference book or as a textbook."

Interest in the phenomenon known as "lean" has grown significantly in recent years. This is the first volume to provide an academically rigorous overview of the field of lean management, introducing the reader to the application of lean in diverse application areas, from the production floor to sales and marketing, from the automobile industry to academic institutions. The volume collects contributions from well-known lean experts and up-and-coming scholars from around the world. The chapters provide a detailed description of lean management across the manufacturing enterprise (supply chain, accounting, production, sales, IT etc.), and offer important perspectives for applying lean across different industries (construction, healthcare, logistics). The contributors address challenges and opportunities for future development in each of the lean application areas, concluding most chapters with a short case study to illustrate current best practice. The book is divided into three parts: The Lean Enterprise Lean across Industries A Lean World. This handbook is an excellent resource for business and management students as well as any academics, scholars, practitioners, and consultants interested in the "lean world."

Conservation and balance laws on networks have been the subject of much research interest given their wide range of applications to real-world processes, particularly traffic flow. This open access monograph is the first to investigate different types of control problems for conservation laws that arise in the modeling of vehicular traffic. Four types of control problems are discussed - boundary, decentralized, distributed, and Lagrangian control - corresponding to, respectively, entrance points and tolls, traffic signals at junctions, variable speed limits, and the use of autonomy and communication. Because conservation laws are strictly connected to Hamilton-Jacobi equations, control of the latter is also considered. An appendix reviewing the general theory of initial-boundary value problems for balance laws is included, as well as an appendix illustrating the main concepts in the theory of conservation laws on networks.

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There is a growing need in major industries such as airline, trucking, financial engineering, etc. to solve very large linear and integer linear optimization problems. Because of the dramatic increase in computing power, it is now possible to solve these problems. Along with the increase in computer power, the mathematical programming community has developed better and more powerful algorithms to solve very large problems. These algorithms are of interest to many researchers in the areas of operations research/management science, computer science, and engineering. In this book, Kipp Martin has systematically provided users with a unified treatment of the algorithms and the implementation of the algorithms that are important in solving large problems. Parts I and II of Large Scale Linear and Integer Programming provide an introduction to linear optimization using two simple but unifying ideas-projection and inverse projection. The ideas of projection and inverse projection are also extended to integer linear optimization. With the projection-inverse projection approach, theoretical results in integer linear optimization become much more analogous to their linear optimization counterparts. Hence, with an understanding of these two concepts, the reader is equipped to understand fundamental theorems in an intuitive way. Part III presents the most important algorithms that are used in commercial software for solving real-world problems. Part IV shows how to take advantage of the special structure in very large scale applications through decomposition. Part V describes how to take advantage of special structureby modifying and enhancing the algorithms developed in Part III. This sectioncontains a discussion of the current research in linear and integer linear programming. The author also shows in Part V how to take different problem formulations and appropriately modify' them so that the algorithms from Part III are more efficient. Again, the projection and inverse projection concepts are used in Part V to present the current research in linear and integer linear optimization in a very unified way. While the book is written for a mathematically mature audience, no prior knowledge of linear or integer linear optimization is assumed. The audience is upper-level undergraduate students and graduate students in computer science, applied mathematics, industrial engineering and operations research/management science. Course work in linear algebra and analysis is sufficient background.

This book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.