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dc.contributor.authorLoucks, Daniel P.
dc.date.accessioned2022-07-14T04:01:31Z
dc.date.available2022-07-14T04:01:31Z
dc.date.issued2022
dc.date.submitted2022-07-13T12:28:11Z
dc.identifierONIX_20220713_9783030939861_52
dc.identifierOCN: 1331436883
dc.identifierhttps://library.oapen.org/handle/20.500.12657/57381
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/87695
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesInternational Series in Operations Research & Management Science
dc.rightsopen access
dc.subject.otherPublic systems planning
dc.subject.otherPublic management
dc.subject.otherOperations research
dc.subject.otherModels for policy analyses
dc.subject.otherPublic evaluation
dc.subject.otherPolicy Analysis
dc.subject.otherPublic policy analysis
dc.subject.otherLinear Optimization Modeling
dc.subject.otherDiscrete Optimization Modeling
dc.subject.otherLagrangian Models
dc.subject.otherSimulation Modeling
dc.titlePublic Systems Modeling
dc.title.alternativeMethods for Identifying and Evaluating Alternative Plans and Policies
dc.typebook
oapen.identifier.doi10.1007/978-3-030-93986-1
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.relation.isbn9783030939861
oapen.imprintSpringer International Publishing
oapen.pages328
oapen.place.publicationCham
dc.seriesnumber318


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