مقایسهٔ روشها
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| برنامهریزی هدف سناریوی خطمشی× | برنامهریزی هدف تصادفی× | |
|---|---|---|
| حوزه | شبیهسازی | شبیهسازی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 1961 (goal programming); policy scenario application 1980s–present | 1968 |
| پدیدآور≠ | Charnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literature | Contini, B. (building on Charnes & Cooper's chance-constrained programming) |
| نوع≠ | Optimization under multiple conflicting goals across policy scenarios | Stochastic multi-goal optimization |
| منبع بنیادین≠ | Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471153405 | Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586. DOI ↗ |
| نامهای دیگر | PSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming |
| مرتبط≠ | 5 | 6 |
| خلاصه≠ | 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. | 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. |
| ScholarGateمجموعهداده ↗ |
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