Why are children from disadvantaged and minority communities overrepresented among academic underachievers, poor learners and school dropouts? This volume engages with this question and examines classroom learning as a process that involves a multitude of actors situated in specific social, cultural, and historical contexts. The volume covers an interdisciplinary spectrum of educational processes, contexts, educational ambitions, and limitations of low caste, working class and middle-class students from different Indian communities and regions. The volume delves into the problem of academic underperformance from a social identity perspective and probes into social context-based variability in classroom learning, systemic disadvantages in the form of negative stereotypes and the family as an under-studied social group in all discussions of schooling. It also examines the teacher perceptions and attitudes toward Adivasi students and other minority groups in primary schools, and their effect on children's classroom engagement. The essays in this volume provide insights into unresolved and critical research questions that require attention of teachers, school management, educators, and policy makers alike. This book will also be useful for academicians, policymakers, teacher educators, pedagogic practitioners in India and abroad, and state and central government institutions working on school education, educational psychology, policymaking in education, learning methods and research on educational enhancement.

This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors.

Aligning the latest practices, innovations and case studies with academic frameworks and theories, the broad area of multi-criteria and game theory applications in manufacturing and logistics is covered in comprehensive detail. Divided into two parts, part I is dedicated to 'multi-criteria applications' and includes chapters on logistics with a focus on vehicle routing problems, a multi-objective decision making approach to select the best storage policy and an exploratory study to predict the most important factors that can lead to successful mobile supply chain management adoption for manufacturing firms. Part II covers 'game theory applications' and encompasses the process of forming a coalition within a corporate network to the problem of integrating inventory and distribution optimization together with game theory to effectively manage supply networks. Providing a forum to investigate, exchange novel ideas and disseminate knowledge covering the broad area of multi-criteria and game theory applications in manufacturing and logistics, Applications of Multi-Criteria and Game Theory Approaches is an excellent reference for students, researchers but also managers and industry professionals working with manufacturing and logistics issues.

Aligning the latest practices, innovations and case studies with academic frameworks and theories, the broad area of multi-criteria and game theory applications in manufacturing and logistics is covered in comprehensive detail.

Divided into two parts, part I is dedicated to multi-criteria applications and includes chapters on logistics with a focus on vehicle routing problems, a multi-objective decision making approach to select the best storage policy and an exploratory study to predict the most important factors that can lead to successful mobile supply chain management adoption for manufacturing firms. Part II covers game theory applications and encompasses the process of forming a coalition within a corporate network to the problem of integrating inventory and distribution optimization together with game theory to effectively manage supply networks.

Providing a forum to investigate, exchange novel ideas and disseminate knowledge covering the broad area of multi-criteria and game theory applications in manufacturing and logistics, "Applications of Multi-Criteria and Game Theory Approaches" is an excellent reference for students, researchers but also managers and industry professionals working with manufacturing and logistics issues."

Next-generation supply chains revolve around smart manufacturing processes and personalized customization of products and services. For businesses to stay relevant in the market today, prioritizing customer satisfaction with speed and great service has become crucial. Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains is an assemblage of innovative research ideas surrounding the methods of modern smart manufacturing technologies and digital supply chain management in the era of Industry 4.0. While highlighting topics including blockchain diffusion, logistics system, and data analytics, this book is ideally designed for industry professionals, researchers, managers, and students seeking current research on the role of technology in business production.

Next-generation supply chains revolve around smart manufacturing processes and personalized customization of products and services. For businesses to stay relevant in the market today, prioritizing customer satisfaction with speed and great service has become crucial. Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains is an assemblage of innovative research ideas surrounding the methods of modern smart manufacturing technologies and digital supply chain management in the era of Industry 4.0. While highlighting topics including blockchain diffusion, logistics system, and data analytics, this book is ideally designed for industry professionals, researchers, managers, and students seeking current research on the role of technology in business production.