Analytics, Operations, and Strategic Decision Making in the Public Sector

Analytics, Operations, and Strategic Decision Making in the Public Sector

Gerald William Evans (University of Louisville, USA), William E. Biles (University of Louisville, USA) and Ki-Hwan G. Bae (University of Louisville, USA)
Release Date: February, 2019|Copyright: © 2019 |Pages: 441
ISBN13: 9781522575917|ISBN10: 152257591X|EISBN13: 9781522575924|DOI: 10.4018/978-1-5225-7591-7

Description

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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Criminal Justice
  • Data Mining
  • Decision Analysis
  • Education
  • Emergency Response
  • Government
  • Military
  • Modeling techniques
  • Public Health
  • Simulation
  • Statistical Analysis
  • Waste Management

Table of Contents and List of Contributors

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