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Extends the optimization techniques, in a form that may be adopted for modeling social choice problems. The models in this book provide possible models for a society's social choice for an allocation that maximizes welfare and utilization of resources. A computer program SCOM is presented here for computing social choice models by optimal control.
Efficient laws have profound positive social, economic, political and welfare effects. This book develops a new approach to the formulation of efficient laws with an illustrative application to electronic fund transfer regulation in Australia. This approach can be applied to formulate efficient laws, irrespective of social, political and economic organizations of the country under study, which maximize social welfare of the country.
This book reviews the contemporary issues in international monetary and financial economics (such as financial liberalisation, crisis, exchange rate determination, capital control, domestic capital market reform, etc.) in an emerging financial market such as Thailand from a welfare economic p- spective, highlighting the social welfare implications of these issues. This 3 book also suggests a normative social approach (as formalised in the new welfare economics paradigm) (see Islam 2001a,b for a discussion of this ; concept) for analysing and addressing these issues and formulating appr- riate policies. Undertaking the above tasks, the asymmetric information paradigm 3 and other elements of t...
This book discusses smart technologies and their influence in the field of manufacturing and industrial systems engineering, in the context of performability enhancement, and explores the development of the workforce for the execution of such smart and advanced technologies. Smart Technologies for Improved Performance of Manufacturing Systems and Services discusses the integration of smart technology into the production process and supply chain to enhance the overall performance of manufacturing industries. As well as emphasizing the fundamentals of smart technologies, such as artificial intelligence, big data, and cyber-physical systems, it highlights the role that machine learning plays along with other smart technologies. Real-time case studies highlight the applications of smart digital technologies, and research insights into the area of performability and overall sustainable development round out the great range of discussions this reference book has to offer. Managers and stakeholders seeking coverage on techniques and methods for integration into their organizations, as well as students and researchers in the field will find this book very useful.
The recent explosion of technology in healthcare has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical Things have evolved to tackle the need for remote healthcare systems, augmenting them in a self-sustainable way. This new volume explores the many important smart technologies that can make healthcare delivery and monitoring faster, more efficient, and less invasive. It looks at computational tactics as applied to the development of biomedical applications using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies. The book provides a solid framework to give the modern class of medical gearheads information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare.
Inside the risk management and corporate governance issues behind capital structure decisions Practical ways of determining capital structures have always been mysterious and riddled with risks and uncertainties. Dynamic paradigm shifts and the multi-dimensional operations of firms further complicate the situation. Financial leaders are under constant pressure to outdo their competitors, but how to do so is not always clear. Capital Structure Decisions offers an introduction to corporate finance, and provides valuable insights into the decision-making processes that face the CEOs and CFOs of organizations in dynamic multi-objective environments. Exploring the various models and techniques us...
This book highlights the important use of digital technologies and the latest developments in mechanical and industrial engineering to enhance environmental and resource sustainability. Sustainable Development Goals (SDGs) have as their overarching objective the reduction or eradication of a wide range of global problems, including, but not limited to poverty, climate change, environmental degradation, and inequality. Digital technologies (DTs) have the potential to be exploited to meet the goals associated with the circular economy (CE) and sustainable development. Additive manufacturing (AM), cyber-physical systems (CPS), and blockchain technology are examples of DT-enabled technologies th...
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applica...
In this enlightening and highly readable book, a leading British Muslim intellectual offers a refreshingly new interpretation of the Qur'an.
The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques. This book focuses on the description and applications of many quantitative modelling approaches applied to marketing and management. The structure encompasses statistical, computer and mathematical as well as other models. The topics range from fuzzy logic and logical discriminant models to growth models and k-clique models. It also covers current research being conducted in the field.