Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 47, Pages: 1-5
Amelec Viloria1 and Mercedes Gaitán-Angulo2*
1Universidad de la Costa, Barranquilla, Colombia; [email protected].edu.co 2Escuela de Negocios de la Fundación Universitaria Konrad Lorenz, Bogotá, Colombia; [email protected]
*Author for correspondence
Escuela de Negocios de la Fundación Universitaria Konrad Lorenz, Bogotá, Colombia; [email protected]
Objectives: An analysis of forecast system SAP-APO of a company producing food demand is made Methods/Statistical analysis: redefining the parameters of statistical models l module demand for SAP-APO, change the statistical model adaptive average seasonality and trend of historical data and categorize products according segmentation analysis to assign a different range of tolerance to each when comparing their demand forecasts with sales in recent months. Findings: After implementation the percentage improvement product to manually adjust decreased by 12.58%, compared to the previous level of attention. Application/Improvements: This decreased attention, resulting in an increase in the utility system more than 85%.
Keywords: Information Systems, Inventory Management, SAP Advanced Planner & Optimizer Module,
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