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| Algoritmo de Wagner-Whitin× | Método Simplex× | |
|---|---|---|
| Campo | Investigación operativa | Investigación operativa |
| Familia | Machine learning | Machine learning |
| Año de origen≠ | 1958 | 1947 |
| Autor original≠ | Harvey M. Wagner and Thomson M. Whitin | George Dantzig |
| Tipo | algorithm | algorithm |
| Fuente seminal≠ | Wagner, H. M., & Whitin, T. M. (1958). Dynamic version of the economic lot size model. Management Science, 5(1), 89-96. DOI ↗ | Dantzig, G. B. (1963). Linear Programming and Extensions. Princeton University Press. DOI ↗ |
| Alias≠ | Wagner-Whitin lot-sizing, dynamic lot-sizing algorithm | simplex algorithm |
| Relacionados≠ | 3 | 4 |
| Resumen≠ | The Wagner-Whitin Algorithm, introduced by Harvey M. Wagner and Thomson M. Whitin in 1958, is a dynamic programming solution to the capacitated lot-sizing problem. It determines optimal production quantities over multiple periods to minimize the total cost of production setup and inventory holding while meeting deterministic demand. | The Simplex Method, developed by George Dantzig in 1947, is a foundational algorithm for solving linear programming problems. It systematically explores vertices of the feasible region to find the optimal solution where the objective function is maximized or minimized subject to linear constraints. |
| ScholarGateConjunto de datos ↗ |
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