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Policy Scenario Goal Programming×Målprogrammering×
FagområdeSimuleringBeslutningstagning
FamilieProcess / pipelineMCDM
Oprindelsesår1961 (goal programming); policy scenario application 1980s–present1955
OphavspersonCharnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literatureCharnes, A., Cooper, W. W.
TypeOptimization under multiple conflicting goals across policy scenariosMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Oprindelig kildeCharnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471153405Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
AliasserPSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming
Relaterede58
ResuméPolicy Scenario Goal Programming (PSGP) integrates goal programming optimization with policy scenario analysis to evaluate how well competing policy objectives can be achieved under distinct future conditions. Decision-makers define multiple goals and several plausible policy scenarios, then solve a goal programming model for each scenario to identify which policy strategies best satisfy priority targets across the full scenario space.GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateSammenlign metoder: Policy Scenario Goal Programming · GOAL-PROGRAMMING. Hentet 2026-06-17 fra https://scholargate.app/da/compare