Böcker av Suchismita Satapathy

Details sustainable supply chain management through computational and multicriteria decision-making analyses, exploring it in the context of transportation and electricity generation. Discusses soft computing methods, sustainability management forecast, detrimental effects of mines, difficulties in mining sector and possible solutions.

This book is about occupational health and safety in the workplace. Work-related productivity has been decreasing in most of the labor-intensive sectors on account of the fatigue and discomfort in workplaces, which is the most significant factor for consideration at all levels. Moreover, improper workplace design leads to most of the occupational accidents as well as injuries in production sites. This book explores discomfort in working environments and its impact on mental health in varying workplaces. It then offers some innovative solutions to provide comfort, safety, and sustainability in workplaces to reduce mental workload.

This book addresses the problem of waste management by using multi-criteria decision-making (MCDM) methods. The authors discuss how to apply MCDM, a complex decision-making tool that involves both quantitative and qualitative factors, to develop strategies for effective waste management using various optimization models to rank alternatives, while also incorporating the concerns and needs of multiple stakeholders to find the most optimal decisions for various types of wastes. Typically, there does not exist a single optimal solution to waste problems; with help of MCDM, far better solutions can often be found and utilized to facilitate sustainable waste management techniques in various industries.This book provides unique, effective, and quick decision-making strategies for waste management. With the ever-increasing population and continuing human development, the problem of managing waste becomes increasingly essential, and this volume helps lead the way to finding sustainable solutions.

This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. innovative equipment that measure and reduce mental work load;