02927nam 22006373 450 991057868790332120231110221400.03-030-93986-3(CKB)5860000000053534(MiAaPQ)EBC7018786(Au-PeEL)EBL7018786(OCoLC)1331436883(oapen)https://directory.doabooks.org/handle/20.500.12854/87695(EXLCZ)99586000000005353420220919d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPublic Systems Modeling Methods for Identifying and Evaluating Alternative Plans and PoliciesChamSpringer Nature2022Cham :Springer International Publishing AG,2022.©2022.1 online resource (329 pages)International Series in Operations Research and Management Science ;v.3183-030-93985-5 This is an open access book discusses readers to various methods of modeling plans and policies that address public sector issues and problems. Written for public policy and social sciences students at the upper undergraduate and graduate level, as well as public sector decision-makers, it demonstrates and compares the development and use of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. These modeling tools offer a means of identifying and evaluating alternative plans and policies based on their physical, economic, environmental, and social impacts. Learning how to develop and use the mathematical modeling tools introduced in this book will give students useful skills when in positions of having to make informed public policy recommendations or decisions.International Series in Operations Research and Management Science Public administrationbicsscOperational researchbicsscOptimizationbicsscEconomic theory & philosophybicsscPublic systems planningPublic managementOperations researchModels for policy analysesPublic evaluationPolicy AnalysisPublic policy analysisLinear Optimization ModelingDiscrete Optimization ModelingLagrangian ModelsSimulation ModelingPublic administrationOperational researchOptimizationEconomic theory & philosophyLoucks Daniel P440319MiAaPQMiAaPQMiAaPQBOOK9910578687903321Public Systems Modeling2911920UNINA