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APROXIMACIÓN A LA BÚSQUEDA DE VALORES DE REFERENCIA ÓPTIMOS PARA INDICADORES SCOR

APROXIMACIÓN A LA BÚSQUEDA DE VALORES DE REFERENCIA ÓPTIMOS PARA INDICADORES SCOR



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APROXIMACIÓN A LA BÚSQUEDA DE VALORES DE REFERENCIA ÓPTIMOS PARA INDICADORES SCOR. (2014). Revista EIA, 11(22), 23-37. https://eiaupgrade.metarevistas.org/index.php/reveia/article/view/670

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RESUMEN

El presente artículo plantea una estrategia de decisión que parte del uso de indicadores SCOR (Supply Chain Operations Reference Model) en una organización, resultando ya habitual en la actualidad la realización de procesos de benchmarking externo o exógeno comparando los valores SCOR de la empresa respecto a aquellos de las empresas líderes de sector. Se propone, en cambio, un benchmarking interno o endógeno comparando los valores SCOR con aquellos valores óptimos de la misma empresa, producto de un proceso de optimización matemática de la organización. Partiendo del caso particular de indicadores asociados a las operaciones de los proveedores, se observa la utilidad de la comparación endógena donde las diferencias entre el óptimo de la empresa y el valor real del indicador conduce a unos gaps que guían efectivamente los caminos de mejoramiento. Estos caminos pueden incluir la necesidad de revisar indicadores SCOR de nivel inferior, partiendo del análisis de indicadores de nivel 1, lo cual resulta un aporte relevante en la práctica del SCOR. Dado el enfoque de optimización, estas propuestas de mejoramiento consideran el mejor uso de los recursos disponibles en la empresa, sin necesidad de inversiones adicionales.

SEARCH APPROACH FOR OPTIMAL REFERENCE VALUES FOR SCOR METRICS

This paper proposes a decision strategy related to the use of SCOR (Supply Chain Operations Reference Model) metrics in an organization that is a very common tool to conduct exogenous benchmarking by comparing SCOR values of the company with respect to those of the leaders of industry. We propose instead an endogenous or internal benchmarking comparing those SCOR values with optimal ones from the same company associated with a mathematical optimization process of the firm. Starting with the case of indicators associated with suppliers operations, we highlight the usefulness of the endogenous comparison where differences between the optimal and actual SCOR values leads to some gaps which effectively guide some improvement paths. These paths may include the need to review SCOR lower level metrics based on the analysis of the upper SCOR level. Given the focus on optimization, these improvement proposals consider the best use of available resources in the company without additional investment.

 


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