Ayon Chakraborty – författare

Emerging trends in Industrial Engineering and Management (IEM) refer to the new and transformative developments, practices, and technologies that are currently gaining prominence in the field of industrial engineering and management. Trends in Industrial Engineering and Management can encompasses a wide range of topics such as utilization of Industry 4.0 strategies like Industrial Internet of Things, artificial Intelligence, theoretical, numerical, computational approaches to model the methods and process of IEM.This book:Provides a comprehensive discussion of industrial engineering and managementIncludes principles of continuous improvement, encouraging readers to adopt a mind-set of on-going optimization and innovation in industrial engineering and managementPresents multi-objective optimization, stochastic optimization, and metaheuristic optimization algorithms for solving complex optimization problems in industrial engineeringAligns with the needs of various industries, addressing specific challenges faced by manufacturing, healthcare, logistics, service, and other sectorsHighlights the importance of using digital technological tools like the Internet of Things, Industrial Internet of Things, big data, and artificial intelligence in practices of industrial management to enhance competitiveness, decision-making, and operations efficiencyIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, operation management, industrial management, quality engineering, and engineering management.

Emerging trends in Industrial Engineering and Management (IEM) refer to the new and transformative developments, practices, and technologies that are currently gaining prominence in the field of industrial engineering and management. Trends in Industrial Engineering and Management can encompasses a wide range of topics such as utilization of Industry 4.0 strategies like Industrial Internet of Things, artificial Intelligence, theoretical, numerical, computational approaches to model the methods and process of IEM.

This book:

Provides a comprehensive discussion of industrial engineering and management Includes principles of continuous improvement, encouraging readers to adopt a mind-set of on-going optimization and innovation in industrial engineering and management Presents multi-objective optimization, stochastic optimization, and metaheuristic optimization algorithms for solving complex optimization problems in industrial engineering Aligns with the needs of various industries, addressing specific challenges faced by manufacturing, healthcare, logistics, service, and other sectors Highlights the importance of using digital technological tools like the Internet of Things, Industrial Internet of Things, big data, and artificial intelligence in practices of industrial management to enhance competitiveness, decision-making, and operations efficiency

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, operation management, industrial management, quality engineering, and engineering management.

Emerging trends in Industrial Engineering and Management (IEM) refer to the new and transformative developments, practices, and technologies that are currently gaining prominence in the field of industrial engineering and management. Trends in Industrial Engineering and Management can encompasses a wide range of topics such as utilization of Industry 4.0 strategies like Industrial Internet of Things, artificial Intelligence, theoretical, numerical, computational approaches to model the methods and process of IEM.

This book:

Provides a comprehensive discussion of industrial engineering and management Includes principles of continuous improvement, encouraging readers to adopt a mind-set of on-going optimization and innovation in industrial engineering and management Presents multi-objective optimization, stochastic optimization, and metaheuristic optimization algorithms for solving complex optimization problems in industrial engineering Aligns with the needs of various industries, addressing specific challenges faced by manufacturing, healthcare, logistics, service, and other sectors Highlights the importance of using digital technological tools like the Internet of Things, Industrial Internet of Things, big data, and artificial intelligence in practices of industrial management to enhance competitiveness, decision-making, and operations efficiency

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, operation management, industrial management, quality engineering, and engineering management.

Lean Six Sigma is one of the operational excellence methodologies that has been widely adopted in manufacturing, service and healthcare sectors. There are few articles discussing Lean Six Sigma in the Higher Education context. This book is a collection of articles carefully edited by three academics and practitioners who are based in the Higher Education sector. The book contains state-of-the-art literature review articles, empirical studies, emerging trends on Lean Six Sigma in Higher Education and case study related papers.Lean Six Sigma for Higher Education caters to students, researchers and academics who are interested in understanding the rudimentary concepts of Lean Six Sigma. It also covers the challenges and barriers in implementation and sustenance of this powerful operational and service excellence methodology.

This book focuses on understanding the status quo of sustainable practices in industry operations from an emerging economy perspective, presenting various practices in India. In order to offer a balance between theory and practice, it provides guidelines for applying models to achieve the goal of sustainability in this competitive environment. The chapters include theoretical perspectives, models and empirical evidence on sustainable practices from Indian industries. The book also presents a scholarly perspective on sustainable operations from various researchers and practitioners in India for a global audience in academia and industry.

This book focuses on understanding the status quo of sustainable practices in industry operations from an emerging economy perspective, presenting various practices in India. In order to offer a balance between theory and practice, it provides guidelines for applying models to achieve the goal of sustainability in this competitive environment. The chapters include theoretical perspectives, models and empirical evidence on sustainable practices from Indian industries. The book also presents a scholarly perspective on sustainable operations from various researchers and practitioners in India for a global audience in academia and industry.

This book focuses on understanding the status quo of sustainable practices in industry operations from an emerging economy perspective, presenting various practices in India. In order to offer a balance between theory and practice, it provides guidelines for applying models to achieve the goal of sustainability in this competitive environment. The chapters include theoretical perspectives, models and empirical evidence on sustainable practices from Indian industries. The book also presents a scholarly perspective on sustainable operations from various researchers and practitioners in India for a global audience in academia and industry.

This book comprises the select proceedings of the 3rd Biennial International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2022. It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in industrial and production engineering. Various topics covered include sustainable manufacturing processes, logistics & supply chains, Industry 4.0 practices, circular economy, lean six sigma, agile manufacturing, additive manufacturing, IoT and Big Data in manufacturing, 3D printing, simulation, manufacturing management and automation, surface roughness, multi-objective optimization and modelling for production processes, developments in casting, welding, machining, and machine tools and many more advancements in industrial and production engineering. This volume will prove a valuable resource for those in academia and industry working in the area of industrial and production engineering.