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Robuuste Doelprogrammering×Goal Programming×
VakgebiedSimulatieBesluitvorming
FamilieProcess / pipelineMCDM
Jaar van ontstaan1961 (GP); 1990s (robust extension)1955
GrondleggerCharnes, A. & Cooper, W. W. (goal programming); Mulvey, J. M. et al. (robust optimization framework)Charnes, A., Cooper, W. W.
TypeMathematical programming under uncertaintyMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Oorspronkelijke bronCharnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471155041Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
AliassenRGP, Goal Programming under Uncertainty, Robust GP, Uncertainty-Aware Goal Programming
Verwant58
SamenvattingRobust Goal Programming (RGP) extends classical goal programming to handle uncertain or ambiguous model parameters. Instead of minimizing deviations from crisp targets, it seeks solutions that remain feasible and near-optimal across a range of plausible scenarios or uncertain data realizations. RGP is particularly valuable in planning problems where goals are aspirational and input data carries inherent variability or estimation error.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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ScholarGateMethoden vergelijken: Robust goal programming · GOAL-PROGRAMMING. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare