When a venture seems to be faltering, do you persist and hope that things will get better or do you cut your losses? This may be one of the most important decisions business or project owners may ever have to make. Persistence involves the risk of throwing good money (or resources) after bad, but owners may feel they have too much invested to quit now. Escalation in Decision-Making reveals why social scientists believe that owners may not respond rationally to such predicaments. Instead of exiting when the odds are clearly stacked against them, they re-invest and end up compounding their losses - a phenomenon known as escalation of commitment. The authors, Helga Drummond and Julia Hodgson, also introduce the concept of entrapment, a variation whereby decision-makers passively drift towards insolvency as the cost of changing direction becomes too high. So: A* what drives escalation? A* why do some owners quit whilst others persist until the bailiffs arrive? A* what can we learn from owners' mistakes? A* what makes newcomers believe they can succeed where others are conspicuously failing? These questions of behavioural economics are answered using a narrative that analyses decisions made by market traders facing economic extinction. Many highly successful entrepreneurs started their careers in markets - it was once an almost guaranteed route to prosperity - now market traders are struggling to survive. Although the market traders featured are small entrepreneurs, the ubiquitous phenomenon of escalation at the heart of these stories is widely relevant to practitioners such as project managers in large organizations and to those responsible for managing risk in many situations. Rich in case studies involving real business decisions and dilemmas, Escalation in Decision-Making provides an accessible introduction to the application of theory against a background of growing interest in behavioural economics, now being researched and taught in univ

The book shows readers exactly how to use Lean tools to design healthcare work that is smooth, efficient, error free and focused on patients and patient outcomes. It includes in-depth discussions of every important Lean tool, including value stream maps, takt time, spaghetti diagrams, workcell design, 5S, SMED, A3, Kanban, Kaizen and many more, all presented in the context of healthcare. For example, the book explains the importance of quick operating room or exam room changeovers and shows the reader specific methods for drastically reducing changeover time. Readers will learn to create healthcare value streams where workflows are based on the pull of customer/patient demand. The book also presents a variety of ways to continue improving after initial Lean successes. Methods for finding the root causes of problems and implementing effective solutions are described and demonstrated. The approach taught here is based on the Toyota Production System, which has been adopted worldwide by healthcare organizations for use in clinical, non-clinical and administrative areas.

Following careers in the military and in industry, Robert Grattan has devoted himself to the subject of strategy and its related theory through his research into the strategy implementation employed by business, governments and the military. Strategy process is widely studied and taught but, argues Robert Grattan, comprehensive prescriptive theories have yet to be developed. This book is based on analysis of the strategic defence review (SDR) conducted by the UK Ministry of Defence, the methodology for which has been employed in other countries. The study focuses on how the review was managed through the twin lenses of strategic business management theory and the 'Essence of Decision' theory of governmental decision-making closely associated with the John F. Kennedy School of Government in the USA. The author has been fortunate in being granted interviews with the leading figures in Government, the Civil Service and the Military who participated in the SDR process and in having gained access to information in Ministry of Defence files under Freedom of Information legislation. The result is Strategic Review, a book that provides vivid insights into what happened in a large complex organisation during a major strategic review and highlights the problems likely to be encountered during the process of formulating strategy in business, in government, in sport and any other human endeavour. It will appeal to many in business intrigued by the similarities between the issues facing business and military strategists; to those involved in public policy-making; to the defence community; and to academics and higher level students with an interest in this rich field of study.

The aim of this book is to bring students of economics and finance who have only an introductory background in mathematics up to a quite advanced level in the subject, thus preparing them for the core mathematical demands of econometrics, economic theory, quantitative finance and mathematical economics, which they are likely to encounter in their final-year courses and beyond. The level of the book will also be useful for those embarking on the first year of their graduate studies in Business, Economics or Finance. The book also serves as an introduction to quantitative economics and finance for mathematics students at undergraduate level and above. In recent years, mathematics graduates have been increasingly expected to have skills in practical subjects such as economics and finance, just as economics graduates have been expected to have an increasingly strong grounding in mathematics. The authors avoid the pitfalls of many texts that become too theoretical. The use of mathematical methods in the real world is never lost sight of and quantitative analysis is brought to bear on a variety of topics including foreign exchange rates and other macro level issues.

The 'MisLeadership' of this book's title is a description of the phenomenon the authors have uncovered through their analysis of the validity, or otherwise, of current leadership styles and achievements, in the light of the challenges leaders face, and particularly of the urgent global issues with which business leaders are now confronted. John Rayment and Jonathan Smith examine existing approaches to leadership with a focus on their shortcomings, categorized according to the four main types of misLeadership the authors have identified - Missing, Misguided, Misinformed and Machiavellian leadership. Each of these forms of misleadership has a corollary in one of the four elements of the kind of holistic leadership that the authors advocate - the capacity for effective decision making, the adoption of a global perspective, the move to a new business paradigm to replace the current economic and social one, and commitment to a contemporary mission. From Rayment and Smith's passionately argued, but well reasoned perspective, leaders, the led and those responsible for leadership development will gain an insight into the prevalence and causes of misleadership and into ways in which it can be identified and overcome. A range of examples and case studies is provided to enable the concepts presented here to be related to practice. As well as illustrating instances of 'misleadership' these also demonstrate that the emphasis in relation to the decision making models currently available to leaders may not be the most important stages of the processes involved. The global perspective emphasized by the authors is not just about globality in the geographical sense. An important part of the way forward suggested here involves considering all aspects of humanity - the physical, mental and spiritual strength, stamina and fitness of individuals, groups and societies, in the context of a 'Global Fitness Framework'. All this is presented in a practical and approachable style that enables these authors to introduce a new approach to a key element of management thinking, in a way that will encourage and empower individuals to think on a different scale, challenge assumptions and exercise effective leadership.

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.

Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques. This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.

Spatial planning is about dealing with our 'everyday' environment. In A Planner's Encounter with Complexity we present various understandings of complexity and how the environment is considered accordingly. One of these considerations is the environment as subject to processes of continuous change, being either progressive or destructive, evolving non-linearly and alternating between stable and dynamic periods. If the environment that is subject to change is adaptive, self-organizing, robust and flexible in relation to this change, a process of evolution and co-evolution can be expected. This understanding of an evolving environment is not mainstream to every planner. However, in A Planner's Encounter with Complexity, we argue that environments confronted with discontinuous, non-linear evolving processes might be more real than the idea that an environment is simply a planner's creation. Above all, we argue that recognizing the 'complexity' of our environment offers an entirely new perspective on our world and our environment, on planning theory and practice, and on the raison d'Atre of the planners that we are. A Planner's Encounter with Complexity is organized into 17 chapters. It begins with the interplay of planning and complexity from the perspective of contemporary planning theory. It continues by critically assessing planning theory and practice in the light of the interdisciplinary debate regarding complexity thinking. As the book progresses, it positions itself ever closer to the perspective of complexity thinking, looking at the planning discipline 'from the outside in', clarifying the facets of complexity and its importance in planning. Finally, conceptual and theoretical developments towards more applied examples are identified in order to see the interplay of planning and complexity in practice. This book emphasizes the importance of complexity in planning, clarifies many of the concepts and theories, presents examples on planning and complexity, and proposes new ideas and methods for planning.

No matter how many resources we consume we never seem to have enough. The Economics of Abundance is a balanced book in which Wolfgang Hoeschele challenges why this is so. He claims that our current capitalist economy can exist only on the basis of manufactured scarcity created by 'scarcity-generating institutions', and these institutions manipulate both demand and supply of commodities. Therefore demand consistently exceeds supply, and profits and economic growth can continue - at the cost of individual freedom, social equity, and ecological sustainability. The fact that continual increases in demand are so vital to our economy leads to an impasse: many people see no alternative to the generation of ever more demand, but at the same time recognize that it is clearly unsustainable ecologically and socially. So, can demand only be reduced by curtailing freedom and is this acceptable? This book argues that, by analyzing how scarcity-generating institutions work and then reforming or dismantling them, we can enhance individual freedom and support entrepreneurial initiative, and at the same time make progress toward social justice and environmental sustainability by reducing demands on vital resources. This vision would enable activists in many fields (social justice, civil liberties, and environmental protection), as well as many entrepreneurs and other members of civil society to work together much more effectively, make it more difficult to portray all these groups as contradictory special interests, and thereby help generate momentum for positive change. Meanwhile, for academics in many fields of study, the concept of the creation of scarcity or abundance may be a highly useful analytical tool.

Russell Ackoff is a very special management thinker. As an architect, city planner, doctor of philosophy, behavioral scientist, trailblazer in the fields of organizational, operations, and systems theory, bestselling author, distinguished Wharton School professor, and head of his own management education and consulting firm, he qualifies, as do few others in this century, for the title of "Renaissance Man." Fortunately, he makes up for this grievous shortcoming by also being an outrageously funny observer of homo commercium. Now, Ackoff's Best offers you an opportunity to become acquainted with this irreverent genius who, over the past forty years, has done so much to shape our understanding of the modern business organization.

Compiled by the author, Ackoff's Best encapsulates the author's most controversial, influential, and wittiest work to appear since the 1970s. Ackoff's groundbreaking exploration of systems theory and its effect on business provides the backbone of this collection. Also included are his most lasting and thought-provoking writings on an array of topics in business, society, and human behavior that well reflect the sweeping scope of Ackoff's intellect and expertise. From managing teams, maximizing the effectiveness of information systems, and problem solving, to creativity, crime, and the role of the corporation in a democratic society, these writings are a cornucopia of insights, observations, and powerful lessons that will help you maximize your personal development and the effectiveness of your organization.

An excellent introduction for newcomers to Russell Ackoff, and a welcome compendium of Ackoff's pithiest writings for those already familiar with his ideas from such classic works as Creating the Corporate Future and The Art of Problem Solving, Ackoff's Best is required reading for every intelligent businessperson.

"The range, depth, and perspectives of these essays on management illustrate, once again, Russ Ackoff's unique genius."—Warren Bennis, University Professor, University of Southern California, and Co-author, Co-Leaders

"Russ Ackoff uses words that cut through the familiar and open doors in one's brain."—Arie P. de Geus, Author, The Living Company

"Ackoff's Best captures the lucid and compelling explorations of one of the most profound and influential thinkers of our time."—Ray Stata, Chairman of the Board, Analog Devices

"This collection reminds me that I have learned my most valuable lessons from Russ Ackoff."—Vince Barabba, General Manager, Corporate Strategy and Knowledge Development, General Motors Corporation

This book identifies the responsibilities of management in the regulatory territories of the FAA (USA), the EASA (European Union) and the GCAA (UAE), identifying the daily challenges of leadership in ensuring their company is meeting the regulatory obligations of compliance, safety and security that will satisfy the regulator while also meeting the fiducial responsibilities of running an economically viable and efficient lean company that will satisfy the shareholders.

Detailing each responsibility of the Accountable Manager, the author breaks them down to understandable and achievable elements where methods, systems and techniques can be applied to ensure the role holder is knowledgeable of accountabilities and is confident that they are not only compliant with the civil aviation regulations but also running an efficient and effective operation. This includes the defining of an Accountable Manager "tool kit" as well as possible software "dashboards" that focus the Accountable Manager on the important analytics, such as the information and data available, as well as making the maximum use of their expert post holder team.

This book will be of interest to leadership of all aviation- related companies, such as airlines, charter operators, private and executive operators, flying schools, aircraft and component maintenance facilities, aircraft manufacturers, engine manufacturers, component manufacturers, regulators, legal companies, leasing companies, banks and finance houses, departments of transport, etc; any relevant organisation regulated and licensed by civil aviation authority. It can also be used by students within a wide range of aviation courses at colleges, universities and training academies.

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.

This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

This Element deals with the know-how and show-how to accomplish high velocity business operations. The basis of these operations is real-time data and low latency processing. Relevant applications are pervasive due to the emerging technologies of IoT, 5G, AI and data analytics. This Element explores theories and methods of configuring, formulating and implementing high velocity business operations with properly designed and developed platforms and processes. Current mobile transformation is enabling the unwiring of businesses, de-territorializing them, and creating more opportunities for these operations. High velocity business processes increase throughput and efficiency, offering first-mover advantage. They also provide location-independence due to use of mobile platforms and devices (smartphones, tablets and wearables). This Element present mobility as a critical attribute of high velocity business operations, taking advantage of world-wide resources and expertise with well-designed mobile platforms and their data.

Global Logistics Network Modelling and Policy provides guidelines on quality policy, covering investments, management and planning for port and hinterland infrastructure, roads, railways and inland waterway ports. The book first describes the authors' concept and formulation models, followed by a description and analysis of the applied data. As shipping companies fiercely compete in an effort to achieve greater efficiency and impact infrastructure policy and plan for the entire supply chain, they need tactics that drive quality transportation policy and new ways to model and simulate worldwide cargo movements, all while estimating demand and capacity of systems. This book provides quantitative tools for modeling, analysis, and simulation of worldwide, inter-modal cargo movement - helping forecast the impacts of logistics and related policies in each region of the world. It covers useful applications for every region of the world, allowing policymakers to tailor results for their own specific uses.

Industry consolidation, mergers, changes to business models, the emergence of new threats all require managers to understand highly complex situations, assess risk and opportunity and make informed decisions. How can senior managers do this effectively when so often they are wrestling with brand new scenarios? One of the emerging solutions is business wargaming. Daniel F. Oriesek and Jan Oliver Schwarz provide the first comprehensive look at wargaming as a business tool in a book that explores the anatomy and success factors of a typical wargame. The authors explain how and when wargaming can be used to test strategies, plan and prepare for crises, manage change or increase your organization's ability to anticipate and adapt for the future. Creating imaginative and credible scenarios, and testing them against smart opponents who are eager to find holes and counter your strategy, allows you to learn about a plan or a new venture in the security of the conference room rather than learning the hard way when you go live. Business wargames are sophisticated but they are also very demanding in terms of time and resources. Business Wargaming: Securing Corporate Value will enable you to assess the potential value of the technique for your own organization, to understand what you will be committing to and develop an informed business case and brief for working with the organization that will facilitate the game.

Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented point of view. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects. An appendix summarizes some of the basics of optimization needed to interpret the material in the book. In detail, the topics the book covers in its three parts are as follows: Stop location - Does it make sense to open new stations along existing bus or railway lines? If yes, in which locations? The problem is modeled as a continuous covering problem. To solve it, the author develops a finite dominating set and shows that efficient methods are possible if the special structure of the covering matrix is used; Delay management - Should a train wait for delayed feeder trains or should it depart in time?

Intellectual property has rapidly become one of the most important, as well as most controversial, subjects in recent years amongst productive thinkers of many kinds all over the world. Scientific work and technological progress now depend largely on questions of who owns what, as do the success and profits of countless authors, artists, inventors, researchers and industrialists. Economic, legal and ethical issues play a central role in the increasingly complex balance between unilateral gains and universal benefits from the "knowledge society." Economics, Law and Intellectual Property explores the field in both depth and breadth through the latest views of leading experts in Europe and the United States. It provides a fundamental understanding of the problems and potential solutions, not only in doing practical business with ideas and innovations, but also on the level of institutions that influence such business. Addressing a range of readers from individual scholars to company managers and policy makers, it gives a unique perspective on current developments.

This research monograph summarizes a line of research that maps certain classical problems of discrete mathematics and operations research - such as the Hamiltonian Cycle and the Travelling Salesman Problems - into convex domains where continuum analysis can be carried out. Arguably, the inherent difficulty of these, now classical, problems stems precisely from the discrete nature of domains in which these problems are posed. The convexification of domains underpinning these results is achieved by assigning probabilistic interpretation to key elements of the original deterministic problems. In particular, the approaches summarized here build on a technique that embeds Hamiltonian Cycle and Travelling Salesman Problems in a structured singularly perturbed Markov decision process. The unifying idea is to interpret subgraphs traced out by deterministic policies (including Hamiltonian cycles, if any) as extreme points of a convex polyhedron in a space filled with randomized policies. The above innovative approach has now evolved to the point where there are many, both theoretical and algorithmic, results that exploit the nexus between graph theoretic structures and both probabilistic and algebraic entities of related Markov chains. The latter include moments of first return times, limiting frequencies of visits to nodes, or the spectra of certain matrices traditionally associated with the analysis of Markov chains. However, these results and algorithms are dispersed over many research papers appearing in journals catering to disparate audiences. As a result, the published manuscripts are often written in a very terse manner and use disparate notation, thereby making it difficult for new researchers to make use of the many reported advances. Hence the main purpose of this book is to present a concise and yet easily accessible synthesis of the majority of the theoretical and algorithmic results obtained so far. In addition, the book discusses numerous open questions and problems that arise from this body of work and which are yet to be fully solved. The approach casts the Hamiltonian Cycle Problem in a mathematical framework that permits analytical concepts and techniques, not used hitherto in this context, to be brought to bear to further clarify both the underlying difficulty of NP-completeness of this problem and the relative exceptionality of truly difficult instances. Finally, the material is arranged in such a manner that the introductory chapters require very little mathematical background and discuss instances of graphs with interesting structures that motivated a lot of the research in this topic. More difficult results are introduced later and are illustrated with numerous examples.

Sociological theories of crime include: theories of strain blame crime on personal stressors; theories of social learning blame crime on its social rewards, and see crime more as an institution in conflict with other institutions rather than as in- vidual deviance; and theories of control look at crime as natural and rewarding, and explore the formation of institutions that control crime. Theorists of corruption generally agree that corruption is an expression of the Patron-Client relationship in which a person with access to resources trades resources with kin and members of the community in exchange for loyalty. Some approaches to modeling crime and corruption do not involve an explicit simulation: rule based systems; Bayesian networks; game theoretic approaches, often based on rational choice theory; and Neoclassical Econometrics, a rational choice-based approach. Simulation-based approaches take into account greater complexities of interacting parts of social phenomena. These include fuzzy cognitive maps and fuzzy rule sets that may incorporate feedback; and agent-based simulation, which can go a step farther by computing new social structures not previously identified in theory. The latter include cognitive agent models, in which agents learn how to perceive their en- ronment and act upon the perceptions of their individual experiences; and reactive agent simulation, which, while less capable than cognitive-agent simulation, is adequate for testing a policy's effects with existing societal structures. For example, NNL is a cognitive agent model based on the REPAST Simphony toolkit.

This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas. The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list: * Next Generation Gravity Missions * Continuous-Thrust Trajectories by Evolutionary Neurocontrol * Nonparametric Importance Sampling for Launcher Stage Fallout * Dynamic System Control Dispatch * Optimal Launch Date of Interplanetary Missions * Optimal Topological Design * Evidence-Based Robust Optimization * Interplanetary Trajectory Design by Machine Learning * Real-Time Optimal Control * Optimal Finite Thrust Orbital Transfers * Planning and Scheduling of Multiple Satellite Missions * Trajectory Performance Analysis * Ascent Trajectory and Guidance Optimization * Small Satellite Attitude Determination and Control * Optimized Packings in Space Engineering * Time-Optimal Transfers of All-Electric GEO Satellites Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.

Questioning why research centers so often fail to commercialize discoveries, this book explores the concept of linked innovation, which promises to drive economic sustainability while preserving academic quality at research centers. The author examines the gaps in the innovation process and identifies eight symptoms of broken innovation. Providing empirical research into areas such as performance metrics, design thinking, industry collaboration, and innovation ecosystems, this comprehensive study covers 28 mechanisms and 12 business models for driving growth in those centers. Essential reading for managing directors at research institutions and academics, Linked Innovation draws on examples from leading research centers at universities, in industry and government. Based on a four-year analysis of 3,881 centers in 107 countries, the book looks at institutions such as Harvard, Oxford and organizations such as Roche, Google, Fraunhofer and NASA to name a few.

This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data, big data, and machine learning are being applied to provide integrated support for individuals and organizations to make more rational decisions. The book is organized into two parts. The first part covers decision support systems for industry, while the second part presents case studies related to clinical emergency management and pollution control.

Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage.  The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals. The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability.   The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.

This text is among the first to reveal the intricacies of an airline’s Operations Control Centre; especially the thought processes, information flows, and strategies taken to mitigate disruptions.

Airline Operations Control provides a deep level of description, explanation and detail into the activities of a range of highly professional and expert staff managing the ‘sharp’ end of the airline. It aims to fill a void as little is understood about this area, and very little is written for practitioners in the airline business. The book offers a comprehensive look at the make-up of the Operations Centre, its component sections, and the processes that occur both in preparing for and executing the current day’s schedules. Several chapters provide real-life scenarios and demonstrate how Operations Centres manage evolving situations – what they need to take into account, and how they need to have Plan B and Plan C ready when things don’t go right.

This book is designed to deliver knowledge gains to both new and experienced aviation industry practitioners with regards to vital operational aspects. Additionally, it also offers students of air transport management a readily accessible and real-world-perspective guide to a crucial function present within every airline.

Table of Contents

Part I: Operations Function 1: Operations Control 2: Composition of the IOC 3: Operational Planning and Preparation 4: Operational Processes Part II: Operational Control in Practice 5: Scenario based Information Flows 6: Weather Scenario: Snow at JFK Airport 7: Weather Scenario: Thunderstorms at SYD Airport 8: Multi-Engineering Scenario: Unserviceabilities in the Network 9: Operations Control in the Future