เปรียบเทียบวิธี

	การโปรแกรมเชิงเส้นเชิงสุ่ม	การตั้งโปรแกรมเป้าหมายเชิงสุ่ม
สาขาวิชา	การจำลอง	การจำลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1955	1968
ผู้ริเริ่ม	George B. Dantzig	Contini, B. (building on Charnes & Cooper's chance-constrained programming)
ประเภท	Stochastic optimization model	Stochastic multi-goal optimization
แหล่งต้นตำรับ	Dantzig, G. B., & Madansky, A. (1961). On the solution of two-stage linear programs under uncertainty. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 1, 165–176.	Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586.
ชื่อเรียกอื่น	SLP, Stochastic LP, Linear Programming under Uncertainty, Two-Stage SLP	SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
ที่เกี่ยวข้อง	5	6
สรุป	Stochastic Linear Programming (SLP) extends classical linear programming to settings where some model parameters — costs, demands, resource availability — are uncertain and modeled as random variables. By optimizing expected costs over a probability distribution of scenarios, SLP produces decisions that remain feasible and near-optimal across a range of possible futures rather than for a single assumed state of the world.	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.