Angappa Gunasekaran – författare

Agile manufacturing is defined as the capability of surviving and prospering in a competitive environment of continuous and unpredictable change by reacting quickly and effectively to changing markets, driven by customer-designed products and services. Critical to successfully accomplishing AM are a few enabling technologies such as the standard for the exchange of products (STEP), concurrent engineering, virtual manufacturing, component-based hierarchical shop floor control system, information and communication infrastructure, etc.

The scope of the book is to present the undergraduate and graduate students, senior managers and researchers in manufacturing systems design and management, industrial engineering and information technology with the conceptual and theoretical basis for the design and implementation of AMS. Also, the book focuses on broad policy directives and plans of agile manufacturing that guide the monitoring and evaluating the manufacturing strategies and their performance. A problem solving approach is taken throughout the book, emphasizing the context of agile manufacturing and the complexities to be addressed.

Managing Organizations for Sustainable Development in Emerging Countries focuses on the main challenges and opportunities of managing firms and emerging economies in the light of sustainable development. One of the key questions of sustainable development is how organizations from developing countries are achieving their economic goals while considering, simultaneously, environmental issues like conservation of natural resources, eco-efficiency, biodiversity conservation, and climate-change mitigation. These questions are relevant for government, industry, and urban sustainability. However, in the modern literature that discusses organizational management for sustainable development, few studies focus on the reality of organizations from emerging countries. Moreover, changing environmental legislation in emerging countries (such as China and Brazil) will affect organizational managers. In this context, this book may contribute to organizational management in the search for more sustainable organizations, as well as deal with the challenges of managing organizations in the context of increased social problems, degradation of natural resources, loss of biodiversity, and climate change.This book was published as a special issue of the International Journal of Sustainable Development & World Ecology.

Managing Organizations for Sustainable Development in Emerging Countries focuses on the main challenges and opportunities of managing firms and emerging economies in the light of sustainable development. One of the key questions of sustainable development is how organizations from developing countries are achieving their economic goals while considering, simultaneously, environmental issues like conservation of natural resources, eco-efficiency, biodiversity conservation, and climate-change mitigation. These questions are relevant for government, industry, and urban sustainability. However, in the modern literature that discusses organizational management for sustainable development, few studies focus on the reality of organizations from emerging countries. Moreover, changing environmental legislation in emerging countries (such as China and Brazil) will affect organizational managers. In this context, this book may contribute to organizational management in the search for more sustainable organizations, as well as deal with the challenges of managing organizations in the context of increased social problems, degradation of natural resources, loss of biodiversity, and climate change.This book was published as a special issue of the International Journal of Sustainable Development & World Ecology.

This collection, entitled Organizational Advancements through Enterprise Information Systems: Emerging Applications and Developments, provides a comprehensive assessment of the latest developments in the EIS revolution. Individual chapters, which focus on Enterprise Resource Planning (ERP) adoption, the integration of enterprise systems, personalized ERP, and the Semantic Web, offer ideas and solutions for the future of the global enterprise.

The book discusses the various ways that blockchain technology is changing the future of money, transactions, government, and business.

This book is dedicated to the issues and complexities of industrial services supply chain management. It analyzes how the transition from products to services can be managed, and how supply chains can be adjusted to reflect this new status quo. The book begins with chapters examining product-service systems structures and servitization – the services infusion process. Next, it presents industrial services as marketing and operations strategy. The focus shifts to service delivery, and this chapter discusses how the actual operations take place. This is followed by an examination of the role of technology and how connected assets are utilized by product vendors in value-creation. The book analyzes the transition from ownership to subscriptions in the pricing decisions chapter. Then the value chain effects chapter offers an overview of the mechanisms through which industrial companies are shortening the distance to end-users and aim for a better position in the value chain. Finally the conclusion addresses theoretical and empirical implications in the industrial services supply chain management.

This book presents a series of studies analyzing critical factors that promote and constrain textile & clothing (T&C) production and trade in the Belt & Road (B&R) countries, and forces that drive the restructuring and transforming of global T&C supply chain and operations in the B&R context.

This book presents a series of studies analyzing critical factors that promote and constrain textile & clothing (T&C) production and trade in the Belt & Road (B&R) countries, and forces that drive the restructuring and transforming of global T&C supply chain and operations in the B&R context.

Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage.  The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals.The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability.  The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.

Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage.  The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals.The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability.  The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.

This handbook covers the vast field of business information systems, focusing particularly on developing information systems to capture and integrate information technology together with the people and their businesses.Part I of the book, “Health Care Information Systems”, focuses on providing global leadership for the optimal use of health care information technology (IT). It provides knowledge about the best use of information systems for the betterment of health care services. Part II, “Business Process Information Systems”, extends the previous theory in the area of process development by recognizing that improvements in intra-organizational business processes need to be complemented by corresponding improvements in inter-organizational processes. Part III deals with “Industrial Data and Management Systems” and captures the main challenges faced by the industry, such as the changes in the operations paradigm of manufacturing and service organizations. Finally, Part IV, “Evaluation of Business Information Systems”, discusses the empirical investigation into the adoption of systems development methodologies and the security pattern of the business systems along with the mathematical models.

This book presents a comprehensive examination of the complex journey toward achieving environmental resilience in the twenty-first century. It brings together leading voices from various fields to showcase the challenges and promising solutions in sustainability and green futures. Organized into thematic divisions, each chapter presents a different facet of environmental resilience, offering incisive analysis, creative techniques, and case studies from around the globe. The book explores the complex intersections of environmental, social, and economic elements, including climate change mitigation and adaptation, sustainable urban development, biodiversity conservation, and renewable energy technology.Contributions from distinguished scholars, policymakers, activists, and practitioners encourage interdisciplinary discourse and collaboration to address urgent environmental challenges. The book inspires readers to envision and actively contribute to a more sustainable and resilient future through rigorous research, visionary thinking, and practical ideas.Combining intellectual rigor with approachable prose, this book serves as an invaluable resource for students, scholars, policymakers, and anyone committed to creating a greener and more resilient society. It provides vital information and inspiration for navigating the path toward environmental resilience, whether dealing with the complexity of climate change, seeking innovative solutions for sustainable development, or advocating for environmental justice.