This book deals with an often-neglected feature of location problems, namely uncertainty, by combining two related fields: location theory and optimization. Written by leading researchers and practitioners in these fields, each chapter examines one aspect of the location process in different contexts, such as supply chains; location decisions under congestion; disaster management; design of resilient facilities; uncertainty in the health sector; and facility location in the retail sector under uncertainty. The book also addresses methodological aspects, such as chance-constrained approaches, heuristic algorithms, scenario approaches, and simulation. As such, it provides decision-makers with essential methods, tools and approaches to help them deal with these uncertainties. It is mainly intended for graduate students in the fields of operations research and logistics, as well as professionals in logistics and supply chain management.
Part I: Sources of uncertainty, risk, and imprecision.- Sources of Uncertainty in Location Analysis.- Risk, hazard and exposure time in Hazmat Location and Routing.- Customer related uncertainties in Facility Location Problems.- Part II: Models that protect against acts of nature, attackers, and competitors.- Humanitarian Logistics under Uncertainty: Planning for Sheltering and Evacuation.- Stochastic Components of the Attraction Function in Competitive Facilities Location.- Location and Strategies in Stackelberg Security Games with Risk Aversion.- Facility Location and Supply Chain Risk Analytics.- Designing for Resilience and Protection.- Part III: Facility-customer response time and congested facilities.- Uncertainty in Facility Location Models for Emergency Medical Services.- Location of Public Facilities Under Congestion.- tochastic Gradual Covering Location Models.- Equity in Stochastic Healthcare Facility Location.- Part IV: Methods and approaches location models with uncertainty.- Hub Location Models Under Uncertainty.- On risk management of multistage multiscale FLP under uncertainty.- Some heuristic methods for discrete facility location with uncertain demands
Dr. H.A. Eiselt is a Professor of Management at the University of New Brunswick (Canada) and an Adjunct Professor with the Department of Industrial Engineering at Dalhousie University (Canada). He is an Associate Editor and Book Review Editor of INFOR. Prof. Eiselt also serves on the Advisory and Editorial Boards of Computers and Operations Research, and the International Journal of Operations and Quantitative Management. His main research interests are in various aspects of location analysis and decision theory. He has (co-) authored more than 120 research articles and written and edited 13 books.
Dr. Vladimir Marianov is an Emeritus Professor of Electrical Engineering at the Pontificia Universidad Católica de Chile. His main research areas are the optimal location of facilities and telecommunications. He has published more than 80 articles in peer-reviewed journals and presented numerous papers at congresses and conferences and co-edited and written four books. He hasdirected state, federally, and internationally funded research projects, served as a consultant to telecommunications and logistics companies and the government.
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