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Policy Scenario Goal Programming×Målprogrammering×
ÄmnesområdeSimuleringBeslutsfattande
FamiljProcess / pipelineMCDM
Ursprungsår1961 (goal programming); policy scenario application 1980s–present1955
UpphovspersonCharnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literatureCharnes, A., Cooper, W. W.
TypOptimization under multiple conflicting goals across policy scenariosMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
UrsprungskällaCharnes, 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 ↗
AliasPSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming
Närliggande58
SammanfattningPolicy 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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ScholarGateJämför metoder: Policy Scenario Goal Programming · GOAL-PROGRAMMING. Hämtad 2026-06-17 från https://scholargate.app/sv/compare