Multicriteria analysis is one of the most important fields of decision science. This book gives an outline of the formulation of an appropriate model and presents a comprehensive summary of the most popular methods for solving multicriteria decision problems. In addition to the classical approach the book introduces fuzzy and stochastic methodology, models with uncertainty, social choice and conflict resolution. All methods are illustrated with easy to follow simple examples. At the end of each chapter detailed case studies are given in water and environment management including inter-basin water transfer, urban water management, water allocation, groundwater quality management, forest treatment, ranking water resources projects, reservoir planning, water distribution network design and long-term watershed management. The new methodology and the wide variety of case studies are not easily accessible elsewhere.

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.

In all periods of time, there is a perceived shortage of qualified, credible, and robust leadership skills. At the same time, what is regarded as skilled leadership is contingent on economic, political, institutional, and cultural conditions specific for a period of time or a local setting. Leadership in the era of managerial capitalism was focused on planning and administration, and was seated in large-scale, divisionalized corporations. In the 1970s, this economic model started to wane and leadership was advanced as the solution to a series of economic and social concerns, now being a matter of meaning-making in the face of uncertainty and ambiguity. With the expansion of the finance industry and the deregulation of finance markets in the 1990s and in the new millennium, yet another leadership model increasingly prioritized economic value creation. In parallel to the economic, political and institutional changes, the idea of leadership has been strongly informed by new ideas about individualism and masculinity, adding to the understanding of leadership as what is anchored in widespread social beliefs about for example healthy life styles, the virtues of physical exercise, and novel gender relations. Aimed at scholars, researchers, students and policy makers in the fields of Leadership, Management History and Organizational Theory; Leadership Varieties examines predominant ideas about the qualities and virtues of leadership in a historical and cultural perspective.

This open access book clarifies confusions of strategy that have existed for nearly 40 years through the core thoughts of three fundamental elements. Unlike the traditional definition of strategy as "a plan to achieve a long-term goal from overall considerations"in a linear view, this book defines strategy from non-linear viewpoint as it is in the real world. The art of a strategy lies not only in the determination of development goals, but also in the identification of development problems and putting forward overall guiding ideology of solving problems. Rich illustrations as well as numerous business and military cases are presented in helping readers to understand the fundamental elements of strategy.The general scope of the book includes introductions to the three fundamental elements of strategy, three-sub decisions of a complete strategic decision, incomplete strategies, relationship between tactic and strategy, three elements of competitive and corporative strategies. There may be biases in company-level, real strategic decision-making which makes a complete strategy not necessarily a perfect one. The book introduces biases and reasons for the biases, helping industrial strategic decision-makers understand the importance of knowing the nature of the company, the industry and its environment. In addition, this book also presents principles and evaluation approaches of strategic decisions, explores the reasons for the excessive definitions of the strategy concept, and discusses directions of future's research tasks.The book will benefit business managers who are interested in knowing what a complete strategic decision is and how to avoid errors or biases in strategic decision-making. It also benefits students in business schools (especially in MBA/EMBA programs) who are (or will be) on executive positions. Academic researchers may find it is interesting to understand strategy from the view of the three elements. The new view provides a novel insight into strategy and promotes several research directions in the future. The three elements of strategy are also applicable to military strategies and readers who are interested in military and may find its value as well.

This book provides an introduction to incorporating preference information in Data Envelopment Analysis (DEA) with a special emphasis in Value Efficiency Analysis. In addition to theoretical considerations, numerous illustrative examples are included. Hence, the book can be used as a teaching text as well. Only a modest mathematical background is needed to understand the main principles. The only prerequisites are a) familiarity with linear algebra, especially matrix calculus; b) knowledge of the simplex method; and c) familiarity with the use of computer software. The book is organized as follows. Chapter 1 provides motivation and introduces the basic concepts. Chapter 2 provides the basic ideas and models of Data Envelopment Analysis. The efficient frontier and production possibility set concepts play an important role in all considerations. That's why these concepts are considered more closely in Chapter 3. Since the approaches introduced in this study are inspired by Multiple Objective Linear Programming, the basic concepts of this field are reviewed in Chapter 4. Chapter 5 also compares and contrasts Data Envelopment Analysis and Multiple Objective Linear Programming, providing some cornerstones for approaches presented later in the book. Chapter 6 discusses the traditional approaches to take into account preference information in DEA. In Chapter 7, Value Efficiency is introduced, and Chapter 8 discusses practical aspects. Some extensions are presented in Chapter 9, and in Chapter 10 Value Efficiency is extended to cover the case when a production possibility set is not convex. Three implemented applications are reviewed in Chapter 11.

Derivatives Algorithms - Volume 1: Bones (Second Edition) is for practicing quants who already have some expertise in risk-neutral pricing and in programming, and want to build a reusable and extensible library. Rather than specific models, this volume provides foundations common to all pricing, such as C++ code structure, interfaces, and several widely used mathematical methods. It also presents a set of protocols, by which models and trades can collaborate to support pricing and hedging tasks, and illustrates their use with several example trade types and models. Readers will learn to deploy the results of their research work with productivity-enhancing methods that are not taught elsewhere, including object serialization, code generation, and separation of concerns for continuous improvement. Of all the books on derivatives pricing, only Derivatives Algorithms shows the internals of a high-quality working library.The new Second Edition is more accessible to readers who are not already familiar with the book's concepts; there is an increased focus on explaining the motivation for each step, and on providing a high-level perspective on design choices. The chapters on Persistence and Protocols have been substantially rewritten, providing motivating examples and additional detail in the code. The treatment of yield curves and funding has been modernized, with the increased sophistication required by today's markets. And a new final chapter, describing the next phase in the evolution of derivatives valuation and risk, has been added.

This volume develops and describes an ontology of modern conflict. Modern conflict is a complex adaptive system. As such, it exhibits emergent properties, or properties that are not predictable from simple descriptions of the system. The Modern Conflict Ontology (MCO) creates a structure for collecting and analyzing information regarding both conventional and unconventional conflict in the face of uncertainty. The first three chapters of the book begin the discussion of the MCO. The first chapter introduces the foundational concepts. The second chapter discusses modern conflict in detail. The third chapter provides an overview of ontologies in sufficient detail to make the rest of the book understandable, but without covering the minutia of the subject. The next ten chapters describe the parts of the MCO. Each part is a sub-ontology and is discussed in detail, including connections to the other parts. Instances are used very liberally to ensure that the concepts are made concrete. The final chapter consolidates the descriptions of the ontology into a discussion of "what we can know." It describes the implementation history and changes from the predecessor Unconventional Conflict Ontology (UCO) to the MCO, plus some uses of the ontology and potential future enhancements. Providing an ontology that describes the entire modern conflict domain, this volume is appropriate for military professionals and academics and professionals in political science, computer science, and operations research.

Robert Cooper, who died in 2013, was the leading theorist of organization working in England over the past few decades. Describing himself as a 'social philosopher,' he was one of the first writers to introduce post-structuralist and post-modern thought into theories of organization but was always reluctant to reduce what he did to being part of 'Management.' Instead, he concentrated on thinking about organizations and organizing, working with ideas about entity and process views of organizations, and also the dualisms of organization/environment, organization/disorganization, and concentrating particularly on ideas of the boundary or seam which divides and conjoins. He wrote about, and was influenced by systems theory and post-structuralist philosophy, particularly Whitehead, Bateson, Deleuze, Derrida, Foucault and Simmel. Cooper has already been the subject of much commentary but much of his work is not well known, and it deserves a wider readership. The purpose of this collection is to gather together a body of essays which are widely dispersed in journals and edited collections. This is a repository of pieces and extracts which stand the test of time, and scholars will benefit from a collection which pulls together some of his most influential work. The collection also contains two essays, one biographical and one intellectual, about Cooper and his work.

Assessing Business Excellence presents a strategic framework for business excellence and total quality management and shows how you can be actively involved in continuous improvement by systematically reviewing your business activities and results against holistic business excellence frameworks. For all practitioners who seek to use total quality management to improve their organization's effectiveness, efficiency and responsiveness, this title is the essential route map to business excellence. From two leading expert authors comes a book where the most recognized quality award criteria are used to explore the concepts of business excellence and self-assessment. This book: * Introduces the major business excellence and total quality frameworks including The Malcolm Baldrige National Quality Award and the European Quality Award and ISO9000:2000 * Compares the frameworks and identifies their strengths and limitations * Introduces the self-assessment process * Explores the main approaches to self-assessment * Illustrates the practical benefits of self-assessment through case examples

This book presents healthcare logistics solutions that have been successfully implemented at a variety of healthcare facilities. In each case, a major challenge is presented, along with the solution approach and implementation steps, followed by the impact on hospital operations. Problems encountered when implementing the results in practice are also discussed. Much of the work presented is drawn from the experiences of members of the Center for Healthcare Operations Improvement and Research (CHOIR) at Twente, along with the CHOIR spin-off company, Rhythm.

Quadratic programming is a mathematical technique that allows for the optimization of a quadratic function in several variables. QP is a subset of Operations Research and is the next higher lever of sophistication than Linear Programming. It is a key mathematical tool in Portfolio Optimization and structural plasticity. This is useful in Civil Engineering as well as Statistics.

"Definite" is a decision support software package that improves the quality of environmental decision making since it: structures the decision process; makes full use of available information; provides a rational, responsible and justifiable decision that is open for external review; and allows the exploration of all the options by the use of 'what if?' scenarios. "Definite" is, in fact, a whole toolkit of methods that can be used on a wide variety of problems. If there is a problem to be solved and alternative solutions can be identified, then "Definite" can weigh up the alternatives and assess the most reasonable option. The system contains a number of methods for supporting problem definition as well as graphical and other methods to support representation. In the assessment of the problem, "Definite" can support priority allocation in a number of ways. "Definite" can deal with all types of alternatives, thanks to the inclusion of five different multicriteria methods, as well as cost-benefit and cost-effectiveness analysis. Related procedures such as weight assessment, standardization, discounting, and a wide variety of methods for sensitivity analysis are also available. "Definite" - allowing for fifty alternatives and fifty effects - supports the whole decision process, from problem definition to report generation. The structured approach adopted ensures that the decisions arrived at are systematic and consistent. The full version of "Definite" comprises: the book, "Multiobjective Decision Support for Environmental Management"; "The Definite User Manual"; the Definite software package; and a helpdesk for user support.

Global logistics entails tradeoffs in facility location, distribution networks, the routing and scheduling of deliveries by different modes of travel (e.g., air, water, truck, rail), procurement, and the overall management of international supply chains. In an increasingly global economy, then, logistics has become a very important matter in the success or failure of an organization. It is an integral part of supply chain management that involves not just operations management considerations, but production engineering and regional science issues as well. As Director of the prestigious Waterloo Management of Integrated Manufacturing Systems Research Group (WATMIMS), which specializes in logistics and manufacturing, Jim Bookbinder is uniquely qualified to edit a handbook on global logistics. He has aligned a set of prominent contributors for this volume. The chapters in the Handbook are organized into discrete sections that examine modes; logistics in particular countries; operations within a free-trade zone; innovative features impacting international logistics; case studies of specific companies; and a look toward the future. Contributors are from the Americas, Europe, and Asia, and they push the state of the art in areas such as trade vs. security; border issues; cabotage within NAFTA; Green logistics corridors within the EU; inland ports; direct-to-store considerations; and all the questions that need to be confronted in any given region. This will certainly appeal to researchers and practitioners alike, and could serve as required or supplementary reading in graduate-level logistics courses as well.

Operations Research (OR) emerged in an effort to improve the effectiveness of newly inducted weapons and equipment during World War II. While rapid growth ofOR led to its becoming an important aid to decision making in all sectors including defense, its contribution in defense remained largely confined to classified reports. Very few books dealing with applications of quantitative decision making techniques in military have been published presumably due to limited availability ofrelevant information. The situation changed rapidly during the last few years. The recognition of the subject of Military Operations Research (MOR) gave tremendous boost to its development. Books and journals on MOR started appearing. The number of sessions on MOR at national and international conferences also registered an increase. The volume of teaching, training and research activities in the field of MOR at military schools and non-military schools enhanced considerably. Military executives and commanders started taking increasing interest in getting scientific answers to questions pertaining to weapon acquisition, threat perception and quantification, assessment of damage or casualties, evaluation of chance of winning a battle, force mix, deployment and targeting of weapons against enemy targets, war games and scenario evaluation. Most of these problems were being tackled on the basis of intuition, judgment and experience or analysis under very simple assumptions. In an increasingly sophisticated and complex defense scenario resulting in advances in equipment and communications, the need for supplementing these practices by scientific research in MOR became imperative.

Organizations are information intensive systems, operating in dynamic and competitive markets, structured around complex physical and political infrastructures. This book characterises the critical nature of these environments through strategies for business information technology management (BITM).

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data.Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the 'value' of a Decision Making Unit (DMU).

This is the first book to examine the linkages among natural and organizational accidents and disasters in the modern era and clarifies the mechanisms involved and the significance of emerging problems, from the aging of vital infrastructure for the supply of water, gas, oil, and electricity to the breakdown of pensions, healthcare, and other social systems. The book demonstrates how we might check the underlying civilizational collapse and then explore translational systems approaches toward resilient management and policy for sustainability. In Unsafety, the author focuses on the kinds of unnatural disasters and organizational accidents that arise as repercussions of natural hazards. Japan serves as an example, where earthquakes, tsunamis, and typhoons are common, with the Fukushima nuclear disaster as an outstanding case of this link between natural disasters and organizational accidents. Natural and human-made disasters happen worldwide and cause misery through loss of life; destruction of livelihoods as in agriculture, fisheries, and the manufacturing industry; and interruption of urban life. Unsafety from a disaster in one place increases uncertainty elsewhere, presenting urgent issues in all nations for individuals, organizations, regions, and the state. The author explains that one factor in the Fukushima catastrophe, which followed in the wake of the earthquake and tsunami in 2011, was the latent deterioration and aging of systems at all levels from the physical to the social, leading through a chain reaction to unsought and unforeseen consequences. Here, the aging of the nuclear reactor system, the breakdown of safety management, and inappropriate instructions from the regulatory authorities combined to create the three-fold disaster, in which technological, organizational, and governmental dysfunction have been diagnosed as reflecting a "systems pathology" infecting all levels.

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

This book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries. The recent unfortunate terrorist attacks on critical infrastructures show that adversaries are intelligent and strategic. Game theoretic models have been extensively used in some domains to model these strategic adversaries. However, there is a lack of such advanced models to be employed by chemical security managers. In this book, game theoretic models for protecting chemical plants as well as clusters are proposed. Different equilibrium concepts are explored, with user-friendly explanation of how to reflect them to realistic cases. Based on efficient analysis of the properties of security issues in chemical plants/clusters, models in this book are capable to support resources allocations, cost-effectiveness analysis, cooperation incentives and alike.

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on realworld supply chain disruption management problems, illustrate the material presented and provide managerial insights. Many propositions formulated in the book lead to a deep understanding of the properties of developed stochastic mixed integer programs and optimal solutions. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into six main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply and demand portfolios and production and inventory scheduling, Part V deals with selection of resilient supply portfolio in multitier supply chain networks; and Part VI addresses selection of cybersecurity safequards portfolio for disruption management of information flows in supply chains.

This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources. It also presents recent models, solution techniques and computational tools to solve planning problems for power distribution systems and explains how to apply them in distributed and variable energy generation resources. As such, the book therefore is a valuable tool to leverage the expansion and operation planning of electricity distribution networks.

Due to its societal and economic relevance, Project Management (PM) has become an important discipline and a concept critical to modern organizations, public and private. PM as an academic discipline is discussed both in Management Science and in Operations Research. Management Science tends to focus on quantitative tools and the soft skills necessary to manage projects successfully. Operations Research gives the essential scientific contribution to the success of project management through the development of models and algorithms. In Management Science, Operations Research and Project Management, Jose RamA(3)n San CristA(3)bal Mateo fills the gap between scientific research and the practical application of that research. Project managers need formal training in decision-making but sometimes, they do not have an in-depth knowledge of Operations Research or they lack the necessary theoretical background. This book, with its focus on the quantitative models of Operations Research and Management Science applied to Project Management, provides project managers with the tools and methods necessary to manage projects successfully. Project managers operate in a complex global environment, in which numerous factors need to be considered, such as minimizing total project costs, meeting contracted dates, and ensuring that activities achieve certain quality levels. The focus here on the application of quantitative models of Operations Research and Management Science applied to Project Management provides them with the tools and methods necessary to make sound decisions.

This book introduces the fundamental principles of understanding business requirements to apply enterprise resource planning (ERP) in order to meet business needs. The book also helps readers understand the usage of ERP for monitoring and controlling business processes, while providing practical oriented solutions to the design and implementation of ERP. Using the provided framework, a business can decide to provide more value at lower cost which increases its competitive advantage. This should be an ideal reference for executives, researchers and consultants in project management of ERP. ERP can be considered to be an integrated package of business process. The scope of ERP determines the extent of automation of business process. For example if ERP covers Human Resource (HR) and finance business processes only, then business process related HR and finance are automated. Typically business process that are automated in HR and finance employee entry and exist process, allocation of employee ID, payroll, processing , income tax planning and actual deduction etc. There is seamless flow of employee data and information is available at an effectively faster rate to take appropriate decision. As custom demand increases, there is a need to meet the changing scenario with speed and efficiency. While there is a need to increase productivity, there is also a need to reduce cost of operation. The repetitive business processes can be handled effectively by automating them and freeing human resources for meeting other uncertainties. These automations not only should be done for each department, but also should cut across different departments. Thus there is a need for automating business processes at enterprise level. This enterprise level automation started with MRP, then MRP II, ERP and then finally open source ERP have taken centre stage. Out of the standard products available in the market, an organization can chose an ERP product for implementation, depending on the features available and the total cost of ownership (TCO). This comparison helps an organization to choose the product that best suits the needs for the organization. Enterprise Resource Planning: Fundamentals of Design and Implementation highlights these concepts while discusses different good practices to design and implement ERP.

Professional practice in the design and execution of employee survey programs has evolved tremendously over the past decade. Advances in technology and enthusiastic new interest in talent analytics have combined to create an exciting space with a good deal of innovation along methodological lines, matched by renewed interest in the strategic role of surveys and sensing for improving organizational effectiveness. Providing solid grounding in the basic issues of content development, interpreting results, and driving action, this book also addresses cutting-edge topics in the area of survey analytics (including applications of computational linguistics and artificial intelligence). Significant emphasis is given to ethical issues which are particularly salient given the zeitgeist for ensuring the protection of data and the privacy of survey respondents. The book is appropriate for use in advanced graduate level courses in survey research and will be a valuable shelf resource for survey practitioners whether trained formally in I-O psychology or other areas of organizational science.