Knowledge Management is a vast and diverse topic that must be addressed by all modern industrial companies, from the smallest SMEs to the most complex organizations. Knowledge is a critical and strategic asset and the key to competitiveness in the modern manufacturing environment, as it facilitates capacities essential for achieving the required responsiveness, flexibility, agility and innovation. Nevertheless, knowledge itself is difficult to explicate and capture, and often can be recognized only in the improvements it brings to products, technologies and enterprise organizations.

Four years ago, members of the CIRP community submitted a proposal to the 6th EU Framework Programme to establish a Network of Excellence (NoE). The European Community accepted this proposal, and thus the Virtual Research Laboratory - Knowledge Community in Production (VRL-KCiP) network was launched. The network set out to create a Knowledge Community in Production that would provide support and knowledge to EU industry. This goal was achieved thanks to (a) the ongoing cooperation and collaboration among the network partners, who represent leading universities worldwide, and (b) additional strong member partnerships with laboratories outside of Europe (Japan, Australia, South Africa, USA, and others).

The main efforts of the VRL-KCiP NoE were aimed at aiding European manufacturing industry in defining and structuring its strategic knowledge in order to meet worldwide strategic challenges. These challenges, detailed below, have remained constant over the four years of the network s activities:

1. Manufacturing must become knowledge intensive, given the demand for high-tech products (e.g. electronics, medicines).
2. Given the relatively high labor costs in Europe compared to those in developing countries, manufacturing processes in Europe require high levels of expertise to realize required productivity.

As a result of these challenges, over the past 30 years knowledge management (KM) has become a major issue in Europe, in academia as well as in industry. Indeed, firms have recognized that cultivating the "knowledge resource" is essential for management as well as for operations.

The aim of this book is to help readers understand the complex topic of knowledge. Moreover, it underlines why knowledge is one of the most important strategic issues in achieving future manufacturing competitiveness.

The book is a collection of 34 complementary contributions written by researchers from multinational locations and multidisciplinary perspectives. This book is unique in that it is based on the collective experience of these researchers and represents the status and current issues in the study and implementation of Knowledge Management today.

The book describes fundamental concepts in knowledge and knowledge management and provides several case studies in the fields of design and manufacturing. In particular, the book presents several very original examples of knowledge management and knowledge sharing in the context of European manufacturing. Actual experiences and feedbacks are presented with respect to knowledge engineering approaches for design, manufacturing, and more generally for enterprise engineering. Moreover, methods and tools for knowledge integration within the extended enterprise and the value chain are described, and the role of knowledge management and documents in supporting radical innovation projects is also highlighted.

The book discusses ontology, which constitutes the basis for formalizing and mapping knowledge from different points of view. Concrete examples are described and elaborated, mainly with respect to product, process and resource description and management along the lifecycle of mechanical systems.

Moreover, the book outlines the knowledge management efforts within the VRL-KCiP network. These efforts include (a) realizing a common knowledge management capability in the multilingual, multinational, multidisciplinary distributed research lab, and (b) developing a knowledge map, which now forms the basis for efficient collaboration within the VRL-KCiP consortium. In addition, the benefits of developing networks of experts and shared knowledge among multi-cultural communities are highlighted.

It is our hope that this book will offer you new insight into the topic of knowledge management in the European manufacturing context."

This text examines new research at the interface of operations research, behavioral and cognitive sciences, and decision analysis. From the cognitive behaviorist who collects empirical evidence as to how people make decisions to the engineer and economist who are the consumers of such understanding, the reader encounters the familiar Traveling Salesman Problem and Prisoner's dilemma, how agricultural decisions are made in Argentina's Pampas region, and some social goals that come into play as an element of rational decision-making.

In these 14 self-contained chapters, broad topics covered include the integration of decision analysis and behavioral models, innovations in behavioral models, exploring descriptive behavior models, and experimental studies.

This volume addresses the subject of uncertainty from the point of view of an extended conception of rationality. In particular, the contributions explore the premises and implications of plausible reasoning when probabilities are non-measurable or unknown, and when the space of possible events is only partially identified.

Many of the environmental impacts made by organisations are created by early strategic planning, marketing and design decisions. This book encourages managers and students of management to explore how and when environmental decisions are made in organisations. It introduces them to the processes and tools they can use to change the environmental direction of their organisation and reduce its environmental impact on the earth. It guides the reader down the track whose destination is ecological sustainability.

Freelance consulting, coaching, IT contracting and other self-employed professional roles are fast becoming the preferred way to find fulfilling work, generate a great income, and futureproof careers, whilst giving all the benefits and freedoms of being your own boss – but few know how to make it really work.

The Freelance Consultant is the comprehensive guide into turning your expertise into a viable, and valuable, business.

With independent consultant Richard Newton, you will discover a wealth of insider knowledge as well as a network of other successful advisors willing to share their stories. The Freelance Consultant will explain how to:

• Setup, run and thrive in your freelance, consultant or coaching business.
• Acquire those vital first paying clients.
• Know what it takes to become a successful, differentiated and valuable advisor.
• Build your business, define your services and set your prices.
• Understand your customers and identify, manage, and retain key clients.
• Keep developing and continually improving your skills an growing your business.

Ira Horowitz Depending upon one's perspective, the need to choose among alternatives can be an unwelcome but unavoidable responsibility, an exciting and challenging opportunity, a run-of-the-mill activity that one performs seem ingly "without thinking very much about it," or perhaps something in between. Your most recent selections from a restaurant menu, from a set of jobs or job candidates, or from a rent-or-buy or sell-or-Iease option, are cases in point. Oftentimes we are involved in group decision processes, such as the choice of a president, wherein one group member's unwelcome responsibility is another's exciting opportunity. Many of us that voted in the presidential elections of both 1956 and 1984, irrespective of political affiliation, experienced both emotions; others just pulled the lever or punched the card without thinking very much about it. Arriving at either an individual or a group decision can sometimes be a time consuming, torturous, and traumatic process that results in a long regretted choice that could have been reached right off the bat. On other occasions, the "just let's get it over with and get out of here" solution to a long-festering problem can yield rewards that are reaped for many 1 ORGANIZATION AND DECISION THEORY 2 years to come. One way or another, however, individuals and organiza tions somehow manage to get the decision-making job done, even if they don't quite understand, and often question, just how this was accomplished."

Decision & Control in Management Science analyzes emerging decision problems in the management and engineering sciences. It is divided into five parts. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting, and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems. Decision & Control in Management Science is an excellent reference covering methodological issues and applications in operations research, optimal control, and dynamic games.

The Leader's Guide to Resilience is your essential toolkit to build authentic strength within your business, so you can thrive in a changing and challenging world. Resilience is the core of growth and regrowth. It is what contributes most to the advancement of your organisation and your role as leader. Your personal resilience, and that of your teams, organisation and broader community network, must be actively nurtured to give you the tools to face anything that comes your way. This book will give you clear, effective and adaptable methods to initiate your first steps in building resilience, as well as advanced practical ways to refine, develop and future-proof your progress once on the path. Whatever life throws at you, resilience will help you bounce back. 2021 Firebird Book Award Winner - Business, Leadership and Motivation

Because of the dramatic changes that economic deregulation has caused in the electricity industry and the widespread social concern about nuclear power safety, Effects of Deregulation on Safety is extremely timely. Effects of Deregulation on Safety uses case studies of the effects of deregulation on the U.S. air and rail industries and the United Kingdom nuclear power industry, as a basis for identifying likely impacts of electricity deregulation on safety of the U.S. commercial nuclear power industry.

Effects of Deregulation on Safety provides a comprehensive overview of the safety experiences of these three case study industries and their implications for the U.S. nuclear power industry. The treatment of the subject is not highly technical, and hence is accessible to a wide range of readers with interests in the subject matter. The book draws on literature from roughly 250 references, ranging from brief news articles to book-length studies of deregulation in a particular industry, as well as original in-depth interviews with representatives of all three case study industries.

This wealth of empirical background information allows the book to go beyond mere speculation about the possible adverse safety consequences of deregulation, to identify situations in which particular adverse safety consequences actually occurred. The experience of the case study industries indicates that economic deregulation need not be incompatible with a reasonable safety record, especially in those aspects of safety that are positively related to productivity. But that safety also cannot be taken for granted after deregulation. Careful management attention is needed in order to avoid the types of safety problems that were associated with deregulation in the case study industries.

This volume presents new concepts and methods in Air Traffic Management, in particular: Collaborative Decision Making, as it incorporates for the first time airline companies in the management process; Congestion Pricing, as many part of the systems are and will remain saturated, hence only leveling of demand can contribute to global efficiency; Flow Management Methods, as the most important tools in planning and analysis; Models of Controller-Pilot Interaction, as deregulation increases the workload of this communication; Weather Forecast, as airport capacity is strongly affected by weather conditions.

This book is designed for the chemist, formulator, student, teacher, forensic scientist, or others who wish to investigate the composition of polymeric materials. Theinformationwithinthesepagesisintendedtoarmthereaderwiththenecessary workingknowledgetoanalyze, characterize, anddeformulatematerials. ThestructureoftheContentsisintendedtoassistthereaderinquicklylocating the subject of interest and proceed to it with a minimum of expended time and effort. The Contents provides an outline of major topics and relevant materials char- terizedforthereader'sconvenience. Anintroductiontoanalysisanddeformulation is provided in Chapter 1 to acquaint the reader with analytical methods and their applications. Extensive references are provided as additional sources ofinfor- tion. All tables arelocatedin theAppendix, beginning onp. 235. GUIDE FOR USE This is a practical book structured to efficiently use the reader's time with a minimum effort of searching for entries and information by following these brief instructions: 1. Searchthe Contents and/orIndex fora subject withinthe text. 2. Analysis/deformulation principles are discussed at the outset to familiarize the reader with analysis methods and instruments; followed by formu- tions, materials, and analysis ofpaint, plastics, adhesives, and inks; and finally reformulation methods to test the results of analysis. 3. Materials and a wide assortment of formulations are discussed within the text by chapter/section number. 4. Materials are referred toby various names (trivial, trade, and scientific), and these are listed in tables and cross-referenced to aid the reader.

Proceedings of the Third Symposium on Heavy Gas and Risk Assessment, Bonn, Wissenschaftszentrum, November 12-13, 1984

The present book treats a highly specialized topic, namely effec tivity functions, which are a tool for describing the power structure implicit in social choice situations of various kind. One of the ad vantages of effectivity functions is that they seem to contain exactly the information which is needed in several problems of implementa tion, that is in designing the rules for individual behaviour given that this behaviour at equilibrium should result in a prescribed functional connection between preferences and outcome. We shall be interested in both formal properties of effectiv ity functions and applications of them in social choice theory, and among such applications in particular the implementation problem. This choice of emphasis necessarily means that some other topics are treated only superficially or not at all. We do not attempt to cover all contributions to the field, rather we try to put some of the results together in order to get a reasonably coherent theory about the role of the power structure in cooperative implementation. The authors are indebted to many persons for assistance and advice during the work on this book. In particular, we would like to thank Peter Fristrup and Bodil Hansen for critical reading of the manuscript, and Lene Petersen for typesetting in '.lEX."

Leaders and Managers want quick answers, quick ways to reach solutions, ways and means to access knowledge that won't eat into their precious time and quick ideas that deliver a big result. The Little Book of Big Decision Models cuts through all the noise and gives managers access to the very best decision-making models that they need to to keep things moving forward. Every model is quick and easy to read and delivers the essential information and know-how quickly, efficiently and memorably.

Expected utility provides simple, testable properties of the optimum behavior that should be displayed by risk-averse individuals in risky decisions. Simultaneously, given the existence of paradoxes under the expected utility paradigm, expected utility can only be regarded as an approximation of actual behavior. A more realistic model is needed. This is particularly true when treating attitudes toward small probability events: the standard situation for insurable risks. Non-Expected Utility and Risk Management examines whether the existing results in insurance economics are robust to more general models of behavior under risk.

Proceedings of the ISPRA-Course Held at the Joint Research Centre, Ispra, Italy, October 21-25, 1985, in Collaboration with EuReDatA

Multiple Criteria Decision Making and its Applications to Economic Problems ties Multiple Criteria Decision Making (MCDM)/Multiple Objective Optimization (MO) and economics together. It describes how MCDM methods (goal programming) can be used in economics.

The volume consists of two parts. Part One of the book introduces the MCDM approaches. This first part, comprising Chapters 1-5, is basically an overview of MCDM methods that can most likely be used to address a wide range of economic problems. Readers looking for an in-depth discussion of multi-criteria analysis can grasp and become acquainted with the initial MCDM tools, language and definitions.

Part Two, which comprises Chapters 6-8, focuses on the theoretical core of the book. Thus in Chapter 6 an economic meaning is given to several key concepts on MCDM, such as ideal point, distance function, etc. It illustrates how Compromise Programming (CP) can support the standard premise of utility optimisation in economics as well as how it is capable of approximating the standard utility optimum when the decision-makers' preferences are incompletely specified. Chapter 7 deals entirely with production analysis. The main characteristic throughout the Chapter refers to a standard joint production scenario, analysed from the point of view of MCDM schemes. Chapter 8 focuses on the utility specification problem in the n-arguments space within a risk aversion context. A link between Arrows' risk aversion coefficient and CP utility permits this task.

The book is intended for postgraduate students and researchers in economics with an OR/MS orientation or in OR/MS with an economic orientation. In short, it attempts to fruitfully link economics and MCDM.

There is a complex relationship between the environment and the development of tourism, which this book discusses in a thorough and informative manner. Specialists from several disciplines pay attention to the challenges of sustainable tourism, devoting their full attention to cultural, regional and policy issues. This is a revised edition that has been expanded to 22 contributions, with inclusion of the cultural element. All chapters have been updated to include new data and information added to the existing body of literature in the last 7 years. It includes new developments and new insights into the relationship between tourism and the environment. An invaluable sequel to the first edition.

Real options theory has attracted significant interest in the field of strategic management. Advocates of the approach emphasize that importing concepts from financial economics holds out the potential of yielding new insights on strategic decision-making under uncertainty as well as boundary-of-the-firm issues that are the focus of competitive and corporate strategy. While considerable progress has been made in conceptualizing different types of real options for various strategic investments, considerably less has been done to empirically validate the core propositions of real options theory. As a result there is much debate about the merits and promise of real options in strategy.
In light of the recent interest in real options as well as these trends in the field, this volume examines the ways in which real options theory can contribute to strategic management. This volume offers conceptual pieces that trace out pathways for the theory to move forward and presents new research on the implications of real options for strategic investment, organization, and firm performance. The compendium synthesizes and critiques the research on real options as well as offers a catalyst for further research on this theory in the strategy field.
*Seeks to examine the ways in which real options theory can contribute to strategic management.
*Includes conceptual pieces that unearth some of the key stumbling blocks and trace out pathways for real options theory to move forward
*Presents theoretical and empirical analyses of real options in different strategic contexts.

This volume constitutes the papers and discussions from a symposium on "Societal Risk Assessment: How Safe is Safe Enough?" held at the General Motors Research Laboratories on October 8-9, 1979. This symposium was the twenty-fourth in an annual series sponsored by the Research Laboratories. Initi ated in 1957, these symposia have as their objective the promotion of the interchange ofknowledge among specialists from many allied disciplines in rapidly developing or changing areas ofscience or technology. Attendees characteristically represent the academic, government, and industrial institutions that are noted for their ongoing activities in the particular area of interest. The objective of this symposium was to develop a balanced view of the current status of societal risk assessment's role in the public policy process and then to establish, if possible, future directions of research. Accordingly, the symposium was structured in two dimensions; certainty versus uncertainty and the subjective versus the objective. Furthermore, people representing extremely diverse discip lines concerned with the perception, quantification, and abatement of risks were brought together to provide an environment that stimulated the exchange of ideas and experiences. The keys to this exchange were the invited papers, arranged into four symposium sessions. These papers appear in this volume in the order of their presentation. The discussions that in turn followed from the papers are also included."

We live, unfortunately, in turbulent and difficult times plagued by various political, economic, and social problems, as well as by natural disasters worldwide. Systems become more and more complicated, and this concerns all levels, exemplified first by global political alliances, groups of countries, regions, etc., and secondly, by multinational (global) corporations and companies of all sizes. These same concerns affect all social groups. This all makes decision processes very complicated. In virtually all decision processes in these complicated systems, there are various actors (decision makers) who represent individual subjects (persons, countries, companies, etc.) and their respective interest groups. To reach a meaningful (good) decision, opinions of all such actors must be taken into account or a given decision may be rejected and not implemented. Ideally, a decision would be made after a consensus between the parties involved had been attained. So, consensus is a very desirable situation. In most real-world cases there is considerable uncertainty concerning all aspects of the decision making process. Moreover, opinions, goals, constraints, etc. are usually imprecisely known. This makes the decision making process difficult as one cannot employ conventional "hard" tools.

ARIS (Architecture of Integrated Information Systems) is a unique and internationally renowned method for optimizing business processes and implementing application systems.This book describes in detail how ARIS methods model and realize business processes by means of UML (Unified Modeling Language), leading to an information model that is the keystone for a systematic and intelligent method of developing application systems.Multiple real-world examples - including knowledge management, implementation of workflow systems and standard software solutions (SAP R/3 in particular) - address the deployment of ARIS methods.

This volume explores and presents challenges that "traditional" organisations experience once they take off towards self-managing organisations (or Teal Organisations). The concept of Teal Organisations is not surprising nowadays, but strangely enough it remains a dream concept: the majority of modern organisations represent hierarchical managerial constructions, with little to no evidence of self-management. The main characteristics of self-management are well-known: whole tasks; organisational actors equipped with a certain skill portfolio that is required to accomplish these tasks; work organised in teams that have autonomy for decision-making and performance management. Self-management is often accompanied by greater flexibility, better use of employees' creative capacities, increased quality of work life, and decreased employee absenteeism and turnover, eventually resulting in increased job satisfaction and organizational commitment. In this volume, we suggest that self-managing teams require a new way forward in modern organisations. Particularly, we offer a new roadmap for leaders who are responsible for the implementation of self-managing teams.

At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.