Comparer des méthodes

	Programmation par objectifs de scénarios politiques	Programmation par objectifs multi-objectifs
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	1961 (goal programming); policy scenario application 1980s–present	1961
Auteur d'origine	Charnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literature	Charnes, A. and Cooper, W. W.
Type	Optimization under multiple conflicting goals across policy scenarios	Mathematical programming / multi-criteria optimization
Source fondatrice	Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471153405	Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 978-0471148258
Alias	PSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming	MOGP, Multi-goal programming, Vector goal programming, Multi-criteria goal programming
Apparentées	5	4
Résumé	Policy 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.	Multi-Objective Goal Programming (MOGP) is a mathematical programming technique that simultaneously pursues several aspirational targets by minimizing weighted deviations from each goal. Rooted in Charnes and Cooper's original goal programming framework (1961), MOGP extends it to handle multiple competing objectives, making it indispensable in operations research, supply chain design, resource allocation, and policy analysis where decision-makers must satisfy — or come close to — multiple conflicting requirements at once.