Description
The application of sustainability practices at the system level begins with the supply chain. In the business realm, incorporating such practices allows organizations to redesign their operations more effectively.
Emerging Applications in Supply Chains for Sustainable Business Development is a pivotal reference source that provides vital research on the models, strategies, and analyses that are essential for developing and managing a sustainable supply chain. While highlighting topics such as agile manufacturing and the world food crisis, this publication is ideally designed for business managers, academicians, business practitioners, researchers, academicians, and students seeking current research on sustainable supply chain management.
Author's/Editor's Biography
Goran Putnik (Ed.)
Goran D. Putnik received his Dipl. Eng., M.Sci. and Dr.Sci. from the Belgrade University, both M.Sci. and Dr.Sci. in the domain of Intelligent Manufacturing Systems. He is currently Associate Professor, at Department of Production and Systems Engineering, University of Minho (Portugal) and teaches, or has taught, a number of subjects in the area of CIM, IMS, Concurrent Engineering, Design Theory, and Virtual Enterprises on undergraduate and post-graduate studies. He served as the Director of the Centre for Production Systems Engineering (CESP) and as the Director of the Master Course on CIM, at the University of Minho. Dr. Putnik’s scientific and engineering interests are manufacturing systems and enterprises design and control theory and implementation, design theory and design engineering, formal theory of production systems and enterprises, and distributed, agile and virtual enterprises. He regularly publishes articles and presents papers on conferences. In last years his special attention is on the topic of Virtual Enterprises for which he organized a research group and a number of research projects and has been also an invited speaker by international research groups.
K. Jayakrishna (Ed.)
Jayakrishna K. is currently working as an Associate professor in the School of Mechanical Engineering at the VIT University at Vellore. He received his doctorate degree in production engineering from the National Institute of Technology, Tiruchirappalli in 2014, master’s degree in Production engineering from P.S.G College of Technology, Coimbatore in 2009 and a bachelor’s degree in mechanical engineering from Adhiyamman College of Engineering, in 2006. His research is focused on sustainable manufacturing processes and their applications in automotive industries. Jayakrishna’s current work at VIT University investigates on imbibing sustainable manufacturing practices into ERP systems for Industry 4.0. He has published 21 International journals papers in leading SCI/ SCOPUS Indexed journals and 48 papers in International conferences; he has also edited one book, co-authored three book chapters. He is editorial board member and reviewer of reputed international journals. He has received several awards including MHRD Postgraduate and Doctoral Scholarships and Best Paper Awards.
V. Pillai (Ed.)
V. Madhusudanan Pillai
currently holds the position of Professor within the Department of Mechanical Engineering at National Institute of Technology Calicut, Kerala, India. With an extensive teaching career spanning over 30 years, he has amassed a wealth of expertise. He boasts a remarkable portfolio of more than 150 publications, encompassing both international journals and conferences. Notably, he has also taken on the role of editor for a book. His contributions extend to the creation of numerous laboratory exercises and software packages that revolve around the realms of manufacturing management and supply chain management. His research pursuits encompass an array of captivating areas. These areas include modelling of problems in supply chain operation simulation, cellular manufacturing systems, material requirements planning, scheduling, facility layout planning, inventory control, lean manufacturing, manpower planning – annualised hours, ergonomics, and machine learning and blockchain applications in supply chain management.