Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin-Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ride-sharing applications.

The highly experienced and knowledgeable authors of Organisational Diagnosis provide the reader with the necessary advice, tools and applications to conduct a successful organisational diagnosis. Readers will come to understand how to diagnose concerns/problems and leverage untapped possibilities in the organisation in order to improve and be successful in a competitive, fast-changing world.

Organisational Diagnosis covers the core concepts in conducting an organisational diagnosis.

Content includes:

• Planning and coordinating an organisational diagnosis
• Preparing and involving all stakeholders
• Developing and sourcing assessment instruments
• Survey administration process
• Data gathering in groups – an inclusive way of gathering
• Analysing and interpretation of results
• Follow-up process – clarifying survey results
• Report writing and feedback
• Action planning and learning
• Conducting multicultural research insights gained from theory and practice
• The organisational and psychological impact of Organisational Diagnosis
• Ethical and privacy considerations for research

Traditional policy analysis approaches are characterized by a focus on system modeling and choosing among policy alternatives. While successful in many cases, this approach has been increasingly criticized for being technocratic and ignoring the behavioral and political dimensions of most policy processes. In recent decades, increased awareness of the multi-actor, multiple perspective, and poly-centric character of many policy processes has led to the development of a variety of different perspectives on the styles and roles of policy analysis, and to new analytical tools and approaches for example, argumentative approaches, participative policy analysis, and negotiation support. As a result, the field has become multi-faceted and somewhat fragmented.

"Public Policy Analysis: New Developments "acknowledges the variety of approaches and provides a synthesis of the traditional and new approaches to policy analysis. It provides an overview and typology of different types of policy analytic activities, characterizing them according to differences in character and leading values, and linking them to a variety of theoretical notions on policymaking. Thereby, it provides assistance to both end users and analysts in choosing an appropriate approach given a specific policy situation. By broadening the traditional approach and methods to include the analysis of actors and actor networks related to the policy issue at hand, it deepens the state of the art in certain areas. While the main focus of the book is on the cognitive dimensions of policy analysis, it also links the policy analysis process to the policymaking process, showing how to identify and involve all relevant stakeholders in the process, and how to create favorable conditions for use of the results of policy analytic efforts by the policy actors.

The book has as its major objective to describe the state-of-the-art and the latest developments in "ex-ante" policy analysis. It is divided into two parts. Part I explores and structures policy analysis developments, the development and description of approaches to diagnose policy situations, design policy analytic efforts, and policy process conditions. Part II focuses on recent developments regarding models and modeling for policy analysis, placing modeling approaches in the context of the variety of conditions and approaches elaborated in Part I. "

"Intelligent Transportation and Evacuation Planning: A Modeling-Based Approach" provides a new paradigm for evacuation planning strategies and techniques. Recently, evacuation planning and modeling have increasingly attracted interest among researchers as well as government officials. This interest stems from the recent catastrophic hurricanes and weather-related events that occurred in the southeastern United States (Hurricane Katrina and Rita). The evacuation methods that were in place before and during the hurricanes did not work well and resulted in thousands of deaths. This book offers insights into the methods and techniques that allow for implementing mathematical-based, simulation-based, and integrated optimization and simulation-based engineering approaches for evacuation planning.

This book presents the essential concepts of operations research and engineering management in a structured manner. Starting with the basic functions of management - planning, organizing, leading and controlling - it introduces the reader to the process of strategic decision-making, covering the essentials of technological invention management, innovation and entrepreneurship, with ample examples of decision-making under certainty, uncertainty and risk conditions. It also exposes the reader to the fundamentals of managing projects and professional communication. In order to reinforce the theory used, practical case studies taken from relevant disciplines are introduced. For instance, case studies from the retail sector have been appended to the assignment problem and cases related to traffic have been introduced for queuing formulation. The concept of game theory is discussed in greater detail with an introduction to topics such as incentive compatibility, Bayesian representations for different games, budget balance, auctions and a broad coverage of mechanism design. While a few of these problems have been solved in the book, a few others have been left un-solved to promote readers' understanding. The mix of theoretical and practical examples reveals to the reader the underlying complexities and highlights the challenges entailed by field implementation.

This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models. The book not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In the book's closing section, several case studies are presented, helping students apply the theory covered to practical problems. The book is based on lecture notes developed for an Econometrics and Operations Research course for master students at the University of Groningen, the Netherlands - the longest-standing Stochastic Programming course worldwide.

The "Guide to Management Research Methods "is an invaluable introductory textbook for all students of organizations. Organizational scientists must be able to conduct reliable research on the basis of empirical field data, and to argue the soundness or validity of their research approach, either as a researcher within a university or research institute, as an organizational consultant, or as a staff member in an organization. A career as an organizational scientist requires an important range of knowledge and skills.

This popular textbook provides students at undergraduate and MBA levels with a thorough introduction to the research methods with which they need to be familiar and how to apply them. A popular course text, it teaches the skills that are essential for planning, conducting and reporting research projects, as well as evaluating the research of others. The authors offer a clear overview of the different steps in a research process: from the definition of a research problem to designing and conducting a study. Each chapter corresponds with a specific stage in the research project. Numerous examples and practical guidelines are provided throughout. Finally, attention is paid to the results of statistical data analyses and their inclusion in the report and presentation of the research project.

In this edited volume, we present the state-of-the-art views of the perspective of enterprise risk management, to include frameworks and controls in the ERM process with respect to supply chains, constructions, and project, energy, environmental and sustainable development risk management. The bulk of this volume is devoted to presenting a number of modeling approaches that have been (or could be) applied to enterprise risk management in construction.

How do bureaucracies remember? The conventional view is that institutional memory is static and singular, the sum of recorded files and learned procedures. There is a growing body of scholarship that suggests contemporary bureaucracies are failing at this core task. This Element argues that this diagnosis misses that memories are essentially dynamic stories. They reside with people and are thus dispersed across the array of actors that make up the differentiated polity. Drawing on four policy examples from four sectors (housing, energy, family violence and justice) in three countries (the UK, Australia and New Zealand), this Element argues that treating the way institutions remember as storytelling is both empirically salient and normatively desirable. It is concluded that the current conceptualisation of institutional memory needs to be recalibrated to fit the types of policy learning practices required by modern collaborative governance.

"ExpressExec" is a unique business resource of one hundred books. These books present the best current thinking and span the entire range of contemporary business practice. Each book gives you the key concepts behind the subject and the techniques to implement the ideas effectively, together with lessons from benchmark companies and ideas from the world's smartest thinkers.

"ExpressExec" is organised into ten core subject areas making it easy to find the information you need:

01 Innovation
02 Enterprise
03 Strategy
04 Marketing
05 Finance
06 Operations and Technology
07 Organizations
08 Leading
09 People
10 Life and Work

"ExpressExec" is a perfect learning solution for people who need to master the latest business thinking and practice quickly.

This book studies diverse categories of venture capital (VC) firms in India based on their ownership type (domestic vs foreign), stage of investment (early vs growth stage) and VC investment team composition (entrepreneurial experience vs investing experience). For each category of VC firms, the nuances in their investment, portfolio involvement and exit strategies are separately analysed. Employing the framework of information asymmetry, the book studies how different categories of VC firms rely on distinct mechanisms such as deal syndication and domain specialization to address the ensuing adverse selection and agency risks. It also delves into the macro context by assessing whether the emergence of VC in India has been driven by 'pull' or 'push' factors. This is accomplished by analysing in depth the supply and demand of VC funds. Finally, it critically reviews the existing policies of entrepreneurial finance and arrives at recommendations for future directions of the same.

Analysis, assessment, and data management are core tools required for operation research analysts. The April 2011 conference held at the Helenic Military Academy addressed these issues with efforts to collect valuable recommendations for improving analysts' capabilities to assess and communicate the necessary qualitative data to military leaders. This unique volume is an outgrowth of the April conference and comprises of contributions from the fields of science, mathematics, and the military, bringing Greek research findings to the world. Topics cover a wide variety of mathematical methods used with application to defense and security. Each contribution considers directions and pursuits of scientists that pertain to the military as well as the theoretical background required for methods, algorithms, and techniques used in military applications. The direction of theoretical results in these applications is conveyed and open problems and future areas of focus are highlighted. A foreword will be composed by a member of N.A.T.O. or a ranking member of the armed forces. Topics covered include: applied OR and military applications, signal processing, scattering, scientific computing and applications, combat simulation and statistical modeling, satellite remote sensing, and applied informatics - cryptography and coding. The contents of this volume will be of interest to a diverse audience including military operations research analysts, the military community at large, and practitioners working with mathematical methods and applications to informatics and military science.

The Logistics, Supply Chain and Operations Management Case Study Collection contains real-life scenarios from leading companies including Volvo, Vortex, Honda of America, Green Cargo and Swedish Transport Administration. It includes a foreword by Martin Christopher. Comprehensive in scope and scrupulous in detail, this collection includes actual events experienced by businesses of every size, from SMB's to some of the most successful corporations in manufacturing, transportation, hospitality and other industries. Readers will discover proven tactics and innovative solutions for handling uncertainties, solving problems and circumventing risk, plus a wealth of information to guide strategy and decision making. Readers involved in logistics and supply chain management will find the Logistics, Supply Chain and Operations Management Case Study Collection full of: immediate application of strategies and tactics to situations and challenges; valuable tools for testing management proficiency in crisis mitigation and resolution; independent learning modules and professional training programmes; expanded question-and-answer sections designed to measure knowledge transfer and lessons learned; engaging, topical situations highly relevant to the fields of logistics, supply chain management and operations. Students and prospective managers will learn crucial skills to meet current challenges, qualify for professional advancement and achieve success.

The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena.

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.

Most successful companies have operations management at their heart. It enables strategy and should be part of boardroom discussions. However, Cranfield research has shown that business strategy barely recognises the world of operations management. Recognising that operations management needs to be more strategic, Business Operations Models is a revolutionary new title that looks at the interrelationship of operations management and strategy. In Business Operations Models, Martin Christopher and Alan Braithwaite identify the characteristics of market-leading businesses that have transformed their markets and delivered super performance for their stakeholders. It points to the theory gap between strategic thinking and operations and how many high-performing businesses arrive at their new operating models as much by chance as judgement. Unpacking those observations leads to some clearly defined features of winning competitors, including eliminating waste, leveraging technology, and utilising transformative business models. Business Operations Models offers a framework for achieving super performance and understanding when and how a company may be able to leverage its capabilities to outperform. The book provides detailed international case studies that illustrate how the principles work in practice, including Apple, Dell, Amazon, John Lewis, Southwest airlines, Aldi, Toyota and many others.

Covering deterministic scheduling, stochastic scheduling, and the probabilistic analysis of algorithms, this unusually broad view of the subject brings together tutorials, surveys and articles with original results from foremost international experts. The contributions reflect the great diversity in scheduling theory in terms of academic disciplines, applications areas, fundamental approaches and mathematical skills. This book will help researchers to be aware of the progress in the various areas of specialization and the possible influences that this progress may have on their own specialities. Few disciplines are driven so much by continually changing and expanding technology, a fact that gives scheduling a permanence while adding to the excitement of designing and analyzing new systems. The book will be a vital resource for researchers and graduate students of computer science, applied mathematics and operational research who wish to remain up-to-date on the scheduling models and problems of many of the newest technologies in industry, commerce, and the computer and communications sciences.

This title presents a fast track route to understanding crisis management. It covers the key areas of crisis management from crisis planning and handling a global business crisis to crisis plan execution. It offers examples and lessons from some of the world's most successful businesses, including Parsons Corporation, Pepsi Cola, Johnson and Johnson and General Motors, and ideas from the smartest thinkers, including Douglas Hearle, James E Lukaszewski and Fraser P Seitel. It includes a glossary of key concepts and a comprehensive resources guide.

Content of this proceedings discusses emerging trends in structural reliability, safety and disaster management, covering topics like total quality management, risk maintenance and design for reliability. Some papers also address chemical process reliability, reliability analysis and engineering applications in chemical process equipment systems and includes a chapter on reliability evaluation models of chemical systems. Accepted papers from 2019 International Conference on Reliability, Risk Maintenance and Engineering Management (ICRRM 2019) are part of this conference proceeding. It offers useful insights to road safety engineers, disaster management professionals involved in product design and probabilistic methods in manufacturing systems.

This book constitutes the refereed proceedings of the 19th International Conference on Group Decision and Negotiation, GDN 2019, held in Loughborough, UK, in June 2019. The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. The 17 full papers presented in this volume were carefully reviewed and selected from 98 submissions. They were organized in topical sections named: preference modeling for group decision and negotiations; collaborative decision making processes; conflict resolution; behavioral OR, and negotiation support systems and studies.

This volume contains a selection consisting of the best papers presented at the FUR XII conference, held at LUISS in Roma, Italy, in June 2006, organized by John Hey and Daniela Di Cagno. The objectives of the FUR (Foundations of Utility and Risk theory) conferences have always been to bring together leading academics from Economics, Psychology, Statistics, Operations Research, Finance, Applied Mat- matics, and other disciplines, to address the issues of decision-making from a g- uinely multi-disciplinary point of view. This twelfth conference in the series was no exception. The early FUR conferences - like FUR I (organized by Maurice Allais and Ole Hagen) and FUR III (organized by Bertrand Munier) - initiated the move away from the excessively rigid and descriptively-inadequate modelling of beh- iour under risk and uncertainty that was in vogue in conventional economics at that time. More than twenty years later, things have changed fundamentally, and now - novations arising from the FUR conferences, and manifesting themselves in the new behavioural economics, are readily accepted by the profession. Working with new models of ambiguity, and bounded rationality, for example, behavioural decision making is no longer considered a sign of mere non-standard intellectual diversi?- tion. FUR XII was organised with this new spirit. In the sense that the behavioural concerns initiated by the ?rst FUR conferences are now part of conventional e- nomics, and the design and organisation of FUR XII re?ects this integration, FUR XII represents a key turning point in the FUR conference series.

Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France)

We are now entering a new phase in the establishment of historical organization studies as a distinctive methodological paradigm within the broad field of organization studies. This book serves both as a landmark in the development of the field and as a key reference tool for researchers and students. For two decades, organization theorists have emphasized the need for more and better research recognizing the importance of the past in shaping the present and future. By historicizing organizational research, the contexts and forces bearing upon organizations will be more fully recognized, and analyses of organizational dynamics improved. But how, precisely, might a traditionally empirically oriented discipline such as history be incorporated into a theoretically oriented discipline such as organization studies? This book evaluates the current state of play, advances it and identifies the possibilities the new emergent field offers for the future. In addition to providing an important work of reference on the subject for researchers, the book can be used to introduce management and organizational history to a student audience at both undergraduate and postgraduate levels. The book is a valuable source for wider reading, providing rich reference material in tutorials across organizational studies, or as recommended or required reading on courses with a connection to business or management history.

Research and development infrastructures are a critical success factor in the platform of science and technology. In turn, an R&D preliminary feasibility study is essential to establish fairness and social credibility of a plan, including expert review, information disclosure and alternative setting. Preliminary Feasibility for Public Research & Development Projects explains how to evaluate R&D business by exploring the five key features of policy implication, policy improvement, preliminary feasibility study, R&D evaluation, and R&D strategy. Presenting policy measures to ensure the sustainability of R&D projects, Preliminary Feasibility for Public Research & Development Projects will help develop strategic measures for R&D preliminary feasibility studies while proposing ways to enhance the effectiveness of these studies, promote efficiency in public investment projects, and enhance the financial efficiency of large investment projects.