This book consists of advances in data intelligence and its applications in sustainable computing and explores challenges of Industry 4.0. Occupational health and safety is a problem faced by many industries. It effects health, safety, and also wellbeing of employees and workers engaged. Industry 4.0 has changed the total scenario of many industries. Safety and sustainability are two major problems with most industries and other emerging sectors.  So, safety is a most important criterion and is often taken care of by framing and following safety policies. Soft computing methods are used to resolve all innovative and research problems in engineering, manufacturing, and business management areas. Much innovative design and sustainable solutions are resolved by IoT and AI techniques. Any troublesome work without hard labor and with easy approaches can be resolved by IoT, which is safer and can be learned quickly. It will help research and find a significant replacement with innovative solutions to any technical and business-related problems. A huge and developing number of producers acknowledge generous monetary and natural advantages from feasible strategic policies. Manageable assembling makes items through financially strong cycles that limit adverse ecological effects while moderating energy and regular assets. Sustainable manufacturing also enhances employee, community, and product safety. A developing number of organizations are treating sustainability as a significant goal in their procedure and activities to build development and worldwide intensity practices in every place of manufacturing industries.

Automation systems usually make workplaces safer by keeping people out of dangerous situations. They also encourage inclusion by substituting less physically demanding computer-based monitoring activities with jobs requiring strength or agility. The shift from a physically oriented to a knowledge-based work environment substitutes more intellectual, decentralised decision-making stresses for workplace problems like repeated actions.

This book consists of advances in data intelligence and its applications in sustainable computing and explores challenges of Industry 4.0. Occupational health and safety is a problem faced by many industries. It effects health, safety, and also wellbeing of employees and workers engaged. Industry 4.0 has changed the total scenario of many industries. Safety and sustainability are two major problems with most industries and other emerging sectors.  So, safety is a most important criterion and is often taken care of by framing and following safety policies. Soft computing methods are used to resolve all innovative and research problems in engineering, manufacturing, and business management areas. Much innovative design and sustainable solutions are resolved by IoT and AI techniques. Any troublesome work without hard labor and with easy approaches can be resolved by IoT, which is safer and can be learned quickly. It will help research and find a significant replacement with innovative solutions to any technical and business-related problems. A huge and developing number of producers acknowledge generous monetary and natural advantages from feasible strategic policies. Manageable assembling makes items through financially strong cycles that limit adverse ecological effects while moderating energy and regular assets. Sustainable manufacturing also enhances employee, community, and product safety. A developing number of organizations are treating sustainability as a significant goal in their procedure and activities to build development and worldwide intensity practices in every place of manufacturing industries.

Automation systems usually make workplaces safer by keeping people out of dangerous situations. They also encourage inclusion by substituting less physically demanding computer-based monitoring activities with jobs requiring strength or agility. The shift from a physically oriented to a knowledge-based work environment substitutes more intellectual, decentralised decision-making stresses for workplace problems like repeated actions.

This book consists of advances in data intelligence and its applications in sustainable computing and explores challenges of Industry 4.0. Occupational health and safety is a problem faced by many industries. It effects health, safety, and also wellbeing of employees and workers engaged. Industry 4.0 has changed the total scenario of many industries. Safety and sustainability are two major problems with most industries and other emerging sectors.  So, safety is a most important criterion and is often taken care of by framing and following safety policies. Soft computing methods are used to resolve all innovative and research problems in engineering, manufacturing, and business management areas. Much innovative design and sustainable solutions are resolved by IoT and AI techniques. Any troublesome work without hard labor and with easy approaches can be resolved by IoT, which is safer and can be learned quickly. It will help research and find a significant replacement with innovative solutions to any technical and business-related problems. A huge and developing number of producers acknowledge generous monetary and natural advantages from feasible strategic policies. Manageable assembling makes items through financially strong cycles that limit adverse ecological effects while moderating energy and regular assets. Sustainable manufacturing also enhances employee, community, and product safety. A developing number of organizations are treating sustainability as a significant goal in their procedure and activities to build development and worldwide intensity practices in every place of manufacturing industries.

Automation systems usually make workplaces safer by keeping people out of dangerous situations. They also encourage inclusion by substituting less physically demanding computer-based monitoring activities with jobs requiring strength or agility. The shift from a physically oriented to a knowledge-based work environment substitutes more intellectual, decentralised decision-making stresses for workplace problems like repeated actions.