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

This 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

This 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.

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.

Features

This 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.

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.

Features

This 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.

This book comprises the select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2020. This volume focuses on several emerging interdisciplinary areas involving mechanical 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. The contents of this book will be useful for students, researchers as well as professionals interested in interdisciplinary topics of mechanical engineering.