Lalit Kumar Awasthi – författare

Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.Features Discusses the importance of data analytics in industrial operations to improve economy Provides step-by-step implementation of operation management models to identify best practices Covers in-depth analysis using data-based operation management tools and techniques Discusses mathematical modelling for novel operation management models to solve industrial problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.

It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.

Features

Discusses the importance of data analytics in industrial operations to improve economy

Provides step-by-step implementation of operation management models to identify best practices

Covers in-depth analysis using data-based operation management tools and techniques

Discusses mathematical modelling for novel operation management models to solve industrial problems

This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.

It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.

Features

Discusses the importance of data analytics in industrial operations to improve economy

Provides step-by-step implementation of operation management models to identify best practices

Covers in-depth analysis using data-based operation management tools and techniques

Discusses mathematical modelling for novel operation management models to solve industrial problems

This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.Features Discusses the importance of data analytics in industrial operations to improve economy Provides step-by-step implementation of operation management models to identify best practices Covers in-depth analysis using data-based operation management tools and techniques Discusses mathematical modelling for novel operation management models to solve industrial problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

The book presents high quality research papers presented by experts in the International Conference on Internet Computing and Information Communications 2012, organized by ICICIC Global organizing committee (on behalf of The CARD Atlanta, Georgia, CREATE Conferences Inc). The objective of this book is to present the latest work done in the field of Internet computing by researchers and industrial professionals across the globe. A step to reduce the research divide between developed and under developed countries.

The book presents high quality research papers presented by experts in the International Conference on Internet Computing and Information Communications 2012, organized by ICICIC Global organizing committee (on behalf of The CARD Atlanta, Georgia, CREATE Conferences Inc). The objective of this book is to present the latest work done in the field of Internet computing by researchers and industrial professionals across the globe. A step to reduce the research divide between developed and under developed countries.

This book highlights the evolution and interdisciplinary approach of AI and ML in image processing, tracing historical development and exploring their convergence with different fields. It delves into optimizing neural architectures and making deep learning models interpretable while exploring recent trends like versatile CNN applications and edge computing deployment. The intersection of AI and creativity, dynamic transfer learning, and domain adaptation are discussed alongside object detection techniques and reinforcement learning. It examines advanced applications in satellite imagery, healthcare, and smart cities, addressing ethical considerations like bias mitigation and transparency. This book also outlines future trends such as quantum-inspired computing and the evolution of edge AI ecosystems.