Analytics for the public sector involves the application of operations research and statistical techniques to solve various problems existing outside of the private sector. The use of analytics for the public sector results in more efficient and effective services for the clients and users of these systems. Analytics, Operations, and Strategic Decision Making in the Public Sector is an essential reference source that discusses analytics applications in various public sector organizations, and addresses the difficulties associated with the design and operation of these systems including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale. Featuring research on topics such as analytical modeling techniques, data mining, and statistical analysis, this book is ideally designed for academicians, educators, researchers, students, and public sector professionals including those in local, state, and federal governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.
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Gerald W. Evans is Professor Emeritus of Industrial Engineering at the University of Louisville. He has served as a NASA-ASEE Faculty Fellow at Langley Research Center and Kennedy Space Center. In addition, he has served as a Senior Research Engineer for General Motors Research Laboratories and as an Industrial Engineer for the Department of the Army. Dr. Evans’ teaching and research interests include multi-objective decision analysis, simulation modeling and analysis, optimization, and project management. Dr. Evans has published approximately 110 papers in various conference proceedings and journals, and is the author of the textbook: Multiple Criteria Decision Analysis for Industrial Engineering: Methodology and Applications, CRC Press, Taylor and Francis Group, Boca Raton, FL, 2017. In addition, he has directed the research of 92 Master’s students and 20 PhD students while at the University of Louisville. Dr. Evans has received the Fellow Award from the Institute of Industrial and Systems Engineers, and the Moving Spirit Award from INFORMS.
William E. Biles is Professor Emeritus of Industrial Engineering at the University of Louisville. He has taught engineering at Virginia Tech, Notre Dame, Penn State, Louisiana State University and the University of Louisville for over 50 years. Prior to his career in engineering education, Dr. Biles served in the US Army and as an R&D engineer at the Advanced Materials Laboratory of Union Carbide Corporation, as well as a process engineer at the Huntsville, AL Division of Thiokol Chemical Corporation. He founded the Rapid Prototyping Laboratory of the Advanced Manufacturing Laboratory at the University of Louisville in 1990 and established a graduate program in Engineering Management in Panama that has granted more than 500 MEEM degrees since 2000. Dr. Biles has directed the research of 18 PhD graduates in Industrial Engineering at Notre Dame, Penn State, LSU and UofL in his 50-year career in education. He is a Fellow of the Institute of Industrial and Systems Engineers.
Ki-Hwan G. Bae is an Assistant Professor in the Department of Industrial Engineering at the University of Louisville. He received his M.S. in Industrial Engineering from Purdue University and Ph.D. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University. Dr. Bae has conducted various simulation research in the application areas of healthcare, logistics, transportation, and criminal justice systems. Besides simulation modeling and analysis, his research interest includes capacity management and network optimization.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses analytics applications in various public sector organisations, and addresses the difficulties associated with the design and operation of these systems, including multiple conflicting objectives, uncertainties and resulting risk, ill-structured na. N° de réf. du vendeur 448011569
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