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The art of building mathematical models of multistage deterministic inventories in manufacturing

EL ARTE DE CONSTRUIR MODELOS MATEMÁTICOS DE INVENTARIOS DETERMINÍSTICOS MULTIETAPAS EN MANUFACTURA




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[1]
C. A. Pineda Perez, Y. A. Orjuela Salazar, A. L. Diaz Plazas, and D. A. Acero Rivera, “The art of building mathematical models of multistage deterministic inventories in manufacturing”, Rev. Ing. Mat. Cienc. Inf, vol. 7, no. 14, pp. 95–103, Jul. 2020, Accessed: Dec. 22, 2024. [Online]. Available: https://ojs.urepublicana.edu.co/index.php/ingenieria/article/view/670

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Esta obra está bajo una licencia internacional

Atribución/Reconocimiento 4.0 Internacional
Cesar Augusto Pineda Perez

    Yudy Alexandra Orjuela Salazar

      Angela Lorena Diaz Plazas

        Dayana Astrid Acero Rivera


          Cesar Augusto Pineda Perez,

          Magister en Ingeniería Industrial, Especialista en Ingeniería de Producción e Ingeniero Industrial de la Universidad Distrital. Docente investigador del grupo O.C.A de la Corporación Universitaria Republicana.


          Yudy Alexandra Orjuela Salazar,

          Estudiante de octavo semestre de Ingeniería Industrial de la Corporación Universitaria Republicana y perteneciente al semillero PMA (programación matemática aplicada) adscrito al grupo de investigación O.C.A.


          Angela Lorena Diaz Plazas,

          Estudiante de octavo semestre de Ingeniería Industrial de la Corporación Universitaria Republicana y perteneciente al semillero PMA (programación matemática aplicada) adscrito al grupo de investigación O.C.A.


          Dayana Astrid Acero Rivera,

          Estudiante de octavo semestre de Ingeniería Industrial de la Corporación Universitaria Republicana y perteneciente al semillero PMA (programación matemática aplicada) adscrito al grupo de investigación O.C.A.


          This article presents the elaboration procedure in the construction of two-stage mathematical models in manufacturing. The way to elaborate the graphs, their mathematical relationships and the mathematical development to determine the variables of the model are described.

          DOI: http://dx.doi.org/10.21017/rimci.2020.v7.n14.a86


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