This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.

The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.

Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.

This book provides a detailed description of how to apply Lean Six Sigma in the health care industry, with a special emphasis on process improvement and operations management in hospitals. The book begins with a description of the Enterprise Performance Excellence (EPE) improvement methodology developed by the author that links several methodologies including systems thinking, theory of constraints, Lean and Six Sigma to provide an enterprise-wide prioritization and value-chain view of health care. The EPE methodology helps to improve flow at the macro or value-chain level, and then identifies Lean Six Sigma detailed improvements that can further improve processes within the value-chain. The book also provides real-world health care applications of the EPE and Lean Six Sigma methodologies that showed significant results on throughput, capacity, operational and financial performance. The Enterprise Performance Excellence methodology is described, and also the Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) problem solving approach which is used to solve problems for health care processes as they are applied to real world cases. The case studies include a wide variety of processes and problems including: emergency department throughput improvement; operating room turnaround; operating room organization; CT imaging diagnostic test reduction in an emergency department; linen process improvement; implementing sepsis protocols in an emergency department; critical success factors of an enterprise performance excellence program.

Exploring Lean manufacturing in a holistic manner, this book helps organizations to implement Lean principles successfully by offering theoretical, empirical and practical knowledge. It empirically demonstrates how a successful Lean initiative can improve organizational efficiency, and incorporates valuable primary research to substantiate findings. It argues that Lean principles need to be applied throughout the value chain in order to be successful , and suggests that these tools need to be aligned with culture and change management. Chapters examine issues including Lean cultures, impediments to Lean, Lean and performance measurement, and the impact of Lean. Viewing Lean as a never-ending journey, this book provides a valuable resource to practising Lean managers, and specialist researchers and students, and also offers an important reference for organizations embarking on their Lean voyage.

This book shows how business process management (BPM), as a management discipline at the intersection of IT and Business, can help organizations to master digital innovations and transformations. At the same time, it discusses how BPM needs to be further developed to successfully act as a driver for innovation in a digital world.  In recent decades, BPM has proven extremely successful in managing both continuous and radical improvements in many sectors and business areas. While the digital age brings tremendous new opportunities, it also brings the specific challenge of correctly positioning and scoping BPM in organizations. This book shows how to leverage BPM to drive business innovation in the digital age. It brings together the views of the world’s leading experts on BPM and also presents a number of practical cases. It addresses mangers as well as academics who share an interest in digital innovation and business process management. The book covers topics such as BPM and big data, BPM and the Internet of Things, and BPM and social media. While these technological and methodological aspects are key to BPM, process experts are also aware that further nontechnical organizational capabilities are required for successful innovation.  The ideas presented in this book have helped us a lot while implementing process innovations in our global Logistics Service Center. Joachim Gantner, Director IT Services, Swarovski AG Managing Processes  – everyone talks about it, very few really know how to make it work in today’s agile and competitive world. It is good to see so many leading experts taking on the challenge in this book. Cornelius Clauser, Chief Process Officer, SAP SE This book provides worthwhile readings on new developments in advanced process analytics and process modelling including practical applications – food for thought how to succeed in the digital age. Ralf Diekmann, Head of Business Excellence, Hilti AG This book is as an important step towards process innovation systems. I very much like to congratulate the editors and authors for presenting such an impressive scope of ideas for how to address the challenging, but very rewarding marriage of BPM and innovation. Professor Michael Rosemann, Queensland University of Technology

In a comprehensive approach this book covers the end-to-end process from request management to change management, error management and migration management to acceptance testing and final data clean up. It is based upon nearly twenty years of experience in tests, acceptance and certification, when introducing medium to large IT systems including complex software for administrations and industry in many countries. There exist a variety of methodologies with different characteristics having emanated from various schools and consultancies to support such activities. However, it is obvious that because of the diversity in organisational levels in companies the rigor of application of such methodologies quite often suffers with regard to more pragmatic approaches. In view of economic considerations this may be unavoidable. For this reason no new or consolidated methodology shall be presented but an approach oriented on practical criteria coming closer to reality and offering methods, which can provide assistance on a case-by-case basis.

This book collects ECM research from the academic discipline of Information Systems and related fields to support academics and practitioners who are interested in understanding the design, use and impact of ECM systems. It also provides a valuable resource for students and lecturers in the field. “Enterprise content management in Information Systems research – Foundations, methods and cases� consolidates our current knowledge on how today’s organizations can manage their digital information assets. The business challenges related to organizational information management include reducing search times, maintaining information quality, and complying with reporting obligations and standards. Many of these challenges are well-known in information management, but because of the vast quantities of information being generated today, they are more difficult to deal with than ever. Many companies use the term “enterprise content management� (ECM) to refer to the management of all forms of information, especially unstructured information. While ECM systems promise to increase and maintain information quality, to streamline content-related business processes, and to track the lifecycle of information, their implementation poses several questions and challenges: Which content objects should be put under the control of the ECM system? Which processes are affected by the implementation? How should outdated technology be replaced? Research is challenged to support practitioners in answering these questions.

The aim of this book is to present qualitative aspects of logistics operations and supply chain management which help to implement the sustainable policy principles in the companies and public sector’s institutions. Authors in individual chapters address the issues related to reverse network configuration, forward and reverse supply chain integration, CO2 reduction in transportation, improvement of the  production operations and management of the recovery activities. Some best practices from different countries and industries are presented. This book will be valuable to both academics and practitioners wishing to deepen their knowledge in the field of logistics operations and management with regard to sustainability issues.

The Internet of Services and the Internet of Things are major building blocks of the Future Internet. The digital enterprise of the future is based not only on mobile, social, and cloud technologies, but also on se­mantic technologies and the future Internet of Everything. Semantic technologies now enable mass cus­tomization for the delivery of goods and services that meet individual customer needs and tastes with near mass production efficiency and reliability. This is creating a competitive advantage in the industrial econ­omy, the service economy, and the emerging data economy, leading to smart products, smart services, and smart data, all adaptable to specific tasks, locations, situations, and contexts of smart spaces. Such tech­nologies allow us to describe, revise, and adapt the characteristics, functions, processes, and usage patterns of customization targets on the basis of machine-understandable content representation that enables auto­mated processing and information sharing between human and software agents.   This book explains the principal achievements of the Theseus research program, one of the central pro­grams in the German government's Digital 2015 initiative and its High-Tech Strategy 2020. The methods, toolsets, and standards for semantic technologies developed during this program form a solid basis for the fourth industrial revolution (Industrie 4.0), the hybrid service economy, and the transformation of big data into useful smart data for the emerging data economy.   The contributing authors are leading scientists and engineers, representing world-class academic and in­dustrial research teams, and the ideas, technologies, and representative use cases they describe in the book derive from results in multidisciplinary fields, such as the Internet of Services; the Semantic Web, and semantic technologies, knowledge management, and search; user interfaces, multimodal interaction, and visualization; machine learning and data mining; and business process support, manufacturing, automa­tion, medical systems, and integrated service engineering.   The book will be of value to both researchers and practitioners in these domains.

This book deals with the issues of modelling management processes of information technology and IT projects while its core is the model of information technology management and its component models (contextual, local) describing initial processing and the maturity capsule as well as a decision-making system represented by a multi-level sequential model of IT technology selection, which acquires a fuzzy rule-based implementation in this work. In terms of applicability, this work may also be useful for diagnosing applicability of IT standards in evaluation of IT organizations. The results of this diagnosis might prove valid for those preparing new standards so that – apart from their own visions – they could, to an even greater extent, take into account the capabilities and needs of the leaders of project and manufacturing teams. The book is intended for IT professionals using the ITIL, COBIT and TOGAF standards in their work. Students of computer science and management who are interested in the issue of IT project and technology management are also likely to benefit from this study. For young students of IT, it can serve as a source of knowledge in the field of information technology evaluation. This book is also designed for specialists in modelling socio-technical systems.  

Customer focus is the most important challenge of the future. Providing good customer service depends on how well companies know their customers and clearly identify their needs. Availability of customer knowledge, which is knowledge from, for and about the customer, thus becomes crucial in offering customized products or services. This can be gained most efficiently from direct interaction with customers, but requires the use of interpersonal and organizational soft skills. This book presents the interrelationship between customer knowledge management, customer focus and soft skills and also provides concrete advice on how the management of customer knowledge can be optimized.

This book investigates several duality approaches for vector optimization problems, while also comparing them. Special attention is paid to duality for linear vector optimization problems, for which a vector dual that avoids the shortcomings of the classical ones is proposed. Moreover, the book addresses different efficiency concepts for vector optimization problems. Among the problems that appear when the framework is generalized by considering set-valued functions, an increasing interest is generated by those involving monotone operators, especially now that new methods for approaching them by means of convex analysis have been developed. Following this path, the book provides several results on different properties of sums of monotone operators.

Innovative technologies provide opportunities for making manufacturing and logistics operations cleaner and more resource-efficient. New technologies focus on lifecycle engineering and lifecycle management. This book will be valuable to both academics and practitioners who wish to deepen their knowledge of technology management. The book will cover technical, organizational, financial and social issues connected to the implementation of more sustainable technologies.

Industrial Applications of Affective Engineering introduces new analytical methods such as fluctuation, fuzzy logic, fractals, and complex systems, and pursuing interdisciplinary research that traverses a wide range of fields, including information engineering, human engineering, cognitive science, psychology, and design studies. The book is split into two parts: theory and applications. The book is a collection of the best papers from ISAE2013 (International Symposium of Affective Engineering) held at Kitakyushu, Japan and Japan Kansei Engineering Meeting on March 6-8, 2013.

This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for a given problem and algorithms that also enjoy fast local convergence. The authors develop general perturbed Newtonian frameworks that preserve fast convergence and consider specific algorithms as particular cases within those frameworks, i.e., as perturbations of the associated basic Newton iterations. This approach yields a set of tools for the unified treatment of various algorithms, including some not of the Newton type per se. Among the new subjects addressed is the class of degenerate problems. In particular, the phenomenon of attraction of Newton iterates to critical Lagrange multipliers and its consequences as well as stabilized Newton methods for variational problems and stabilized sequential quadratic programming for optimization. This volume will be useful to researchers and graduate students in the fields of optimization and variational analysis.

Environmental challenges such as pollution, climate change, water and natural resources depletion and dwindling bio-diversity are true threats to the survival of our civilization, forcing us to learn how to act now. Fortunately this is exactly what this book does: presenting real life cases, along with theory, methodologies and tools demonstrating how eco-innovation can support sustainable economic growth and save our planet for future generations. Following an introduction describing developments and directions of eco-innovation, Section One discusses Models and Frameworks Supporting Eco-Innovation, with chapters on search strategy for radical eco-innovation; and systematic eco-innovation with TRIZ Methodology. Section Two offers surveys and case studies showing eco-innovation in practice, including a sketch of the eco-innovative landscape in the Brazilian Cellulose, Paper and Paper Products Industry; efforts to eco-innovate among large Swedish companies; progress towards joint product-service business models and more. The third section surveys future directions and emerging trends, among them a new methodology for eco-friendly construction; the development of lightweight small inter-island ferries in Scandinavia and BioTRIZ: a win-win methodology for eco-innovation. The book explores eco-innovation as a framework for supporting the development of new business models which consider the entire business ecosystem, on the way to a sustainable world. Moreover, it explores the eco-innovation process in cross-national and cross-sector perspective.

Increasingly, scholars view reliability—the ability to plan for and withstand disaster—as a social construction. However, there is a tendency to evoke this concept only in the face of catastrophes, such as the British Petroleum oil spill or the Space Shuttle Challenger explosion. This book frames reliability as a fundamental issue in the study of organizations—one that can also improve day-to-day operations. Bringing together a diverse cast of contributors, it considers how we can account for the ability of some organizations to maintain high reliability and what we can learn from them. The chapters distinguish reliability from related lines of inquiry; take stock of relevant research from different disciplinary perspectives; highlight implications for practice; and identify directions, questions, and priorities for future research. The first of its kind in over twenty years, this volume delivers a dynamic base of shared knowledge and an integrative research agenda at a time when organizational reliability has never been so important.

This volume explores various aspects of risk taking. It offers an analysis of financial, entrepreneurial and social risks, as well as a discussion of the ethical implications of empirical findings. The main issues examined in the book are the financial crisis and its implications for business ethics. The book discusses unethical behaviour as a reputational risk (e.g., in the case of Goldman Sachs) and the question is raised as to what extent the financial crisis has changed the banks’ entrepreneurial strategy. The book presents an analysis of the reasons leading to the crisis and identifies them as ethical dilemma structures.  In addition, it looks at general questions regarding ethical behaviour and risk taking, such as: To what extent does the social embeddedness or abstraction play a role in guaranteeing ethical behaviour? What conclusions can be drawn from institutional or evolutionary perspectives on risk management? Finally, the book discusses further issues that become factors of risk within and between societies, such as work insecurity, corruption or the problem of facilitation payments as a risk in international transactions.​  

This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models. Topics and features: presents comprehensive review questions at the end of each chapter, together with detailed case studies, useful links, references and suggestions for further reading; supplies a variety of teaching support materials at the book’s webpage on Springer.com, including a complete set of lecture slides; examines the classification of models used for multimodal transportation systems, and reviews the models and evaluation methods used in transportation planning; explains traffic assignment to road networks, and describes computer simulation integration platforms and their use in the transportation systems sector; provides an overview of transportation simulation tools, and discusses the critical issues in the design, development and use of the simulation models.

Decision making at the enterprise level often encompass not only production operations and product R&D, but other strategic functions such as financial planning and marketing. With the aim of maximizing growth and a firm’s value, companies often focus on co-ordinating these functional components as well as traditional hierarchical decision levels. Understanding this interplay can enhance enterprise capabilities of adaptation and response to uncertainties arising from internal processes as well as the external environment. This book presents concepts, methods, tools and solutions based on mathematical programming, which provides the quantitative support needed for integrated decision-making and ultimately for improving the allocation of overall corporate resources (e.g., materials, cash and personnel). Through a systems perspective, the integrated planning of the supply chain also promotes activities of reuse, reduction and recycling for achieving more sustainable environmental impacts of production/distribution networks. Thus, this book presents, for the first time, a unique integrated vision of the Enterprise Supply Chain Planning and provides a comprehensive account of the state of the art models, methods and tools available to address the above mentioned features of the modern supply chain. It offers a comprehensive review of the associated literature of supply chain management and then systematically builds on this knowledge base to develop the mathematical models representing each of the core functional units and decision levels of the corporation and shows how they can be integrated into a holistic decision problem formulation. Abundant illustrations and tables help maximize reader insights into the problems discussed with several case studies and industry application also examined. This book is intended as a textbook for academics (PhD, MSc), researchers and industry decision-makers, who are involved in the design, retrofit and evaluation of alternative scenarios for the improvement of the supply chain.

Current technological, demographic and globalization trends are not only leading to intensified competition; they also indicate that new business models are rapidly emerging but only to disappear again just as quickly. Timely recognition of the new changes, jettisoning of old approaches and rapid implementation of the currently required changes within a company are now decisive competitive factors. Those who best survive (and thrive) in the future will be those who dramatically increase their success rate within this change process. Building on his best-selling book 'The Strategy Scout' Matthias Kolbusa explains the decisive principles in this rapidly changing business environment.

This book presents the results of a two-year international research project conducted for the United Nations Office on Drugs and Crime (UNDOC) to investigate and provide solutions for reducing bribery and corruption in corporations and institutions. It starts with an empirical case study on the effectiveness of a set of self-regulation rules adopted by multinational companies in the energy sector. Second, it explores the context and factors leading to corruption internationally (and the relationships between domestic criminal law and self-regulation). Third, it examines guidelines for the adoption of compliance programs developed by international institutions, to serve as models for the future. The principle result of the book is a three-pronged Anti-Bribery Corruption Model (so called ABC Model), endorsed by the United Nations, intended as a corruption prevention tool intended to be adopted by private corporations. This work provides a common, research-based standard for anti-bribery compliance programs, with international applications. This work will be of interest to researchers studying Criminology and Criminal Justice, particularly in the areas of organized crime and corruption, as well as related areas like Business Ethics and Comparative International Law.

The volume contributes to the ongoing nanoethics debate in four topical areas. The first part tackles questions of what could be called ‘meta-nanoethics’. Its focus lies on basic concepts and the issue of what - if anything - is truly novel and special about the new field of nanoethics or its subject matter. The second part of this volume presents a selection of interesting perspectives on some of the opportunities and challenges of nanotechnology. Part three takes a more in depth look at one of the most pressing current concerns: how to deal with the risks and uncertainties surrounding nanotechnology in a responsible manner. In its fourth and final part the volume touches on issues of public debate and policy.