Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence techniques. This book focuses on addressing problems in advanced topics in the sustainable supply chain and will appeal to practitioners, managers, researchers, students, and professionals interested in sustainable logistics, procurement, manufacturing, inventory and production management, scheduling, transportation, and supply chain network design.
Author Biography:
Dr. Sanjoy Kumar Paul is currently working as a Senior Lecturer in operations and supply chain management at the University of Technology Sydney (UTS), Sydney, Australia. He has published more than 100 articles in top-tier journals including the European Journal of Operational Research, Transportation Research Part E, International Journal of Production Economics, Business Strategy and the Environment, Computers & Operations Research, International Journal of Production Research, Annals of Operations Research, Computers & Industrial Engineering, Journal of Business Research, International Journal of Logistics Management, International Journal of Physical Distribution and Logistics Management and so on. He is also an editor, editorial board member, and active reviewer of many reputed journals. His research interest includes supply chain risk management, applied operations research, and decision-making. Dr. Paul has received several awards, including ASOR Rising Star Award from the Australian Society for Operations Research, Excellence in Early Career Research Award from UTS Business School, the Stephen Fester prize for most outstanding thesis from UNSW, and high impact publications award for publishing articles in top-tier journals. Dr. Sandeep Kautish is working as a Professor & Dean-Academics at LBEF Campus, Kathmandu, Nepal. He earned his bachelor, master, and doctorate degrees in Computer Science on Intelligent Systems in Social Networks. His research interests lie in Business Analytics, Machine Learning, Data Mining, and Information Systems. He has over 60 publications and his research works have been published in reputed journals such as Computer Standards & Interfaces (SCI, Elsevier), Journal of Ambient Intelligence and Humanized Computing (SCIE, Springer), Wireless Personal Communications (SCIE, Springer), and Journal of Intelligent & Fuzzy Systems (SCIE, IOP Press). Dr. Kautish has authored/edited more than 12 books with reputed publishers including Springer, Elsevier, Scrivener Wiley, De Gruyter, and IGI Global, and is an editorial member/reviewer of various reputed SCI/SCIE journals i.e. Computer Communications (Elsevier), ACM Transactions on Internet Technology, Cluster Computing (Springer), Neural Computing and Applications (Springer), Journal of Intelligent Manufacturing (Springer), Multimedia Tools & Applications (Springer), Computational Intelligence (Wiley), Australasian Journal of Information Systems (AJIS, International Journal of Decision Support System Technology (IGI Global USA), and International Journal of Image Mining (Inderscience).