Krahasoni metodat

	Programimi Stokastik i Qëllimeve	Programimi i synimeve me shumë objektivë
Fusha	Simulimi	Simulimi
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1968	1961
Krijuesi	Contini, B. (building on Charnes & Cooper's chance-constrained programming)	Charnes, A. and Cooper, W. W.
Lloji	Stochastic multi-goal optimization	Mathematical programming / multi-criteria optimization
Burimi themelues	Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586.	Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 978-0471148258
Emërtime të tjera	SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming	MOGP, Multi-goal programming, Vector goal programming, Multi-criteria goal programming
Të lidhura	6	4
Përmbledhja	Stochastic Goal Programming (SGP) extends classical goal programming to handle uncertainty in goal targets, constraint coefficients, or right-hand-side parameters. By incorporating probabilistic constraints and stochastic objective components, it finds solutions that satisfy multiple goals at acceptable probability levels, making it suitable for decision problems where data are inherently uncertain or variable.	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.