Rahul Sindhwani – författare

This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets.Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use of sensitivity analysis and modelling and includes case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the utilization of MCDM to a variety of situations. The book deliberates ways for companies to use these methods to their advantage in order to achieve sustainability. Furthermore, it also presents an overview of the major streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization.FEATURES Offers a stepwise comprehensive methodology for the application of MCDM to a variety of situations Presents an overview of the major streams of thought present in the MCDM technique Provides a holistic view of the latest research and development trends in the emerging markets in terms of modelling and optimization using MCDM for different industrial sectors Illuminates a practical foundation in order to provide a guide to address the problems of emerging markets Enlightens the ways for companies to use these methods to their advantage to be able to achieve sustainabilityThis book is a guide for those performing decision analysis for academic purposes as well as for researchers aspiring to expand their knowledge on MCDM problem solving.

This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets.Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use of sensitivity analysis and modelling and includes case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the utilization of MCDM to a variety of situations. The book deliberates ways for companies to use these methods to their advantage in order to achieve sustainability. Furthermore, it also presents an overview of the major streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization.FEATURES Offers a stepwise comprehensive methodology for the application of MCDM to a variety of situations Presents an overview of the major streams of thought present in the MCDM technique Provides a holistic view of the latest research and development trends in the emerging markets in terms of modelling and optimization using MCDM for different industrial sectors Illuminates a practical foundation in order to provide a guide to address the problems of emerging markets Enlightens the ways for companies to use these methods to their advantage to be able to achieve sustainabilityThis book is a guide for those performing decision analysis for academic purposes as well as for researchers aspiring to expand their knowledge on MCDM problem solving.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

Technopreneurship is an advanced version of entrepreneurship that incorporates cutting-edge technologies from AI to big data into entrepreneurial activities and leads to innovative solutions to problems that previous solutions have failed to sustain in the long term. This book explains the fundamentals of developing and establishing a small one-person business or a large organization, building technological solutions, and performing effectively and efficiently. It covers all aspects of an entrepreneurial journey, guiding readers from the startup stage, growing a business, sustainability, and clarifies the role of technopreneurship as a tool to enhance sustainability in today’s entrepreneurial ventures.FeaturesExplains the theory and the practice of entrepreneurship in today’s technological eraPresents technological developments, their implementations, and the potential outcomes of technology used in entrepreneurial activitiesCovers sustainability and the role of technologies to achieve sustainable development goals associated with different venturesDiscusses ways to minimize failures of entrepreneurial ventures especially in startupsIncludes real-life case studies focused on today’s problems and solutionsThis book is ideal for undergraduate and graduate students taking courses in Entrepreneurship and Startup as well as business consultants and business owners in any field.

AI Based Solutions for Inclusive Quality Education helps readers discover practical AI tools for diverse learning styles and abilities, fostering inclusivity in education and maximizing the individual potential of students and educators. It provides cutting-edge solutions designed to remove barriers due to accessibility and create an equitable classroom. Through practical applications and case studies, the book explores the power of AI in creating personalized learning pathways and methods of engagement in the classroom while emphasizing that the human touch, with empathy and critical thinking, remains central to the learning process. It addresses concerns about the ethical development and deployment of AI in education.FeaturesDiscusses a topic that is at the forefront of concerns in the education sector with the disruptive impact of advances in AIProvides explanations for specific AI platforms and tools, along with their features and applications in educationIncludes case studies and discusses inclusivity and the lessons learned from each AI applicationExplains how to ethically handle bias, privacy and transparency in AI-based solutions in educationServes as a comprehensive guide for educators, policymakers and technology developers interested in the power of AI in educational environmentsThis book serves as a timely reference in the current era of AI tools and education. It is written for those who work in the education sector, as well as researchers, academicians, undergraduate and graduate students, those involved with undergraduate teaching in critical thinking and problem-solving for information systems, information technology, computer science and engineering and all teaching institutions where AI tools have been or will be introduced.

In developing economies, due to rising population and increasing migration, cities are rapidly growing. By 2050, two-thirds of all humanity (6.5 billion people) will be living in cities. Sustainable development cannot be achieved without significantly transforming how we build and manage our cities and develop communities. There is an urgent need to make our cities sustainable (i.e. creating more jobs, safe and affordable housing, and building resilient societies and economies). Technology has always been a crucial driver for economic development, and AI, IoT and Data Science should be leveraged to manage public transport, clean water and eco-friendly ways to manage waste, improve urban planning and create a sustainable environment for growth. Strategic Framework and Intelligent Solutions for Sustainable Cities and Communities is a compilation of recent advancements in disruptive technologies such as AI, IoT, and Data Science, and ways to combat the challenges that are necessary for making our cities and communities sustainable.

The book discusses different topics of industrial and production engineering such as sustainable manufacturing systems, computer-aided engineering, rapid prototyping, manufacturing management and automation, metrology, manufacturing process optimization, casting, welding, machining, and machine tools.

The book discusses different topics of industrial and production engineering such as sustainable manufacturing systems, computer-aided engineering, rapid prototyping, manufacturing management and automation, metrology, manufacturing process optimization, casting, welding, machining, and machine tools.

Some of the topics covered include automobile engineering, mechatronics, applied mechanics, structural mechanics, hydraulic mechanics, human vibration, biomechanics, biomedical Instrumentation, ergonomics, biodynamic modeling, nuclear engineering, and agriculture engineering.

Some of the topics covered include automobile engineering, mechatronics, applied mechanics, structural mechanics, hydraulic mechanics, human vibration, biomechanics, biomedical Instrumentation, ergonomics, biodynamic modeling, nuclear engineering, and agriculture engineering.

It covers the broad topic of industrial and production engineering such as sustainable manufacturing systems, rapid prototyping, manufacturing process optimization, machining, and machine tools, casting, welding, forming, machining, machine tools, computer-aided engineering, manufacturing management, automation and metrology.

It covers the broad topic of industrial and production engineering such as sustainable manufacturing systems, rapid prototyping, manufacturing process optimization, machining, and machine tools, casting, welding, forming, machining, machine tools, computer-aided engineering, manufacturing management, automation and metrology.