Springer Data and Decision Sciences in Action 2: Proceedings of the ASOR/DORS Conference 2018 (Lecture Notes in Management and Industrial Engineering)

Product Description This book constitutes the proceedings of the Joint 2018 National Conferences of the Australian Society for Operations Research (ASOR) and the Defence Operations Research Symposium (DORS). Offering a fascinating insight into the state of the art in Australian operations research, this book is of great interest to academics and other professional researchers working in operations research and analytics, as well as practitioners addressing strategic planning, operations management, and other data-driven decision-making challenges in the domains of commerce, industry, defence, the environment, humanitarianism, and agriculture. The book comprises 21 papers on topics ranging from methodological advances to case studies, and addresses application domains including supply chains, government services, defence, cybersecurity, healthcare, mining and material processing, agriculture, natural hazards, telecommunications and transportation. ASOR is the premier professional organization for Australian academics and practitioners working in optimization and other disciplines related to operations research. The conference was held in Melbourne, Australia, in December 2018. From the Back Cover This book constitutes the proceedings of the Joint 2018 National Conferences of the Australian Society for Operations Research (ASOR) and the Defence Operations Research Symposium (DORS). Offering a fascinating insight into the state of the art in Australian operations research, this book is of great interest to academics and other professional researchers working in operations research and analytics, as well as practitioners addressing strategic planning, operations management, and other data-driven decision-making challenges in the domains of commerce, industry, defence, the environment, humanitarianism, and agriculture. The book comprises 21 papers on topics ranging from methodological advances to case studies, and addresses application domains including supply chains, government services, defence, cybersecurity, healthcare, mining and material processing, agriculture, natural hazards, telecommunications and transportation. ASOR is the premier professional organization for Australian academics and practitioners working in optimization and other disciplines related to operations research. The conference was held in Melbourne, Australia, in December 2018. About the Author Prof. Andreas Ernst completed his PhD in network optimisation at the University of Western Australia. He spent two decades working on applied operations research at CSIRO, before becoming a Professor of Operations Research in the School of Mathematics at Monash University and the director of MAXIMA, the Monash Academy for Cross- and Interdisciplinary Mathematical Applications.  His research interests include integer programming, scheduling, meta-heuristics, and hub location, together with applications of these in logistics, mining, and supply chains. He has published over 100 papers in Operations Research and related areas. Dr. Simon Dunstall is a Principal Research Scientist and a Deputy Research Director at CSIRO Data61, and the current national president of ASOR. Dr. Dunstall is a researcher in risk analytics and optimisation: his most recent work includes the development of infrastructure network planning systems for transport and electricity systems, the application of real options methods to decisions in ecology and energy management, and the development and application of methods for quantifying and managing bushfire/wildfire risks. Dr. Rodolfo García-Flores is a Research Scientist in CSIRO Data61 and has over 15 years of experience in Operations Research, especially in mathematical programming, data mining, simulation, and multi-agent systems. Since joining CSIRO in 2006, he has participated in various commercial projects, e.g., software development for minimisation of waste in dairy production, the design of beef supply chains