The main objective of the paper is the formulation of a method to quantitatively evaluate the historical data that constitute the starting point for demand forecasting. This information makes possible to discriminate the different final accuracy results. In the first part there is the analysis of demand planning area, fashion business and eyewear product complexity. The second part is about the development of the project that starts from the study of the as-is asset of the company in evaluating forecast performance, analyzing at the same time the sources of improvement and existing mathematical and business concept helpful to reach an optimization. The project is developed using Excel visual tools integrating selected mathematical methods with relevant business aspects identified. Then, in the last part, there is the evaluation of the results obtained, studying the correlation with existing accuracy results and quantifying the improvements achieved.

The main objective of the paper is the formulation of a method to quantitatively evaluate the historical data that constitute the starting point for demand forecasting. This information makes possible to discriminate the different final accuracy results. In the first part there is the analysis of demand planning area, fashion business and eyewear product complexity. The second part is about the development of the project that starts from the study of the as-is asset of the company in evaluating forecast performance, analyzing at the same time the sources of improvement and existing mathematical and business concept helpful to reach an optimization. The project is developed using Excel visual tools integrating selected mathematical methods with relevant business aspects identified. Then, in the last part, there is the evaluation of the results obtained, studying the correlation with existing accuracy results and quantifying the improvements achieved.

ASSESSING FORECAST ACCURACY BY IMPLEMENTING AN IMPROVED QUANTITATIVE METHOD FOR PERFORMANCE EVALUATION

GASTALDELLO, GIULIA
2023/2024

Abstract

The main objective of the paper is the formulation of a method to quantitatively evaluate the historical data that constitute the starting point for demand forecasting. This information makes possible to discriminate the different final accuracy results. In the first part there is the analysis of demand planning area, fashion business and eyewear product complexity. The second part is about the development of the project that starts from the study of the as-is asset of the company in evaluating forecast performance, analyzing at the same time the sources of improvement and existing mathematical and business concept helpful to reach an optimization. The project is developed using Excel visual tools integrating selected mathematical methods with relevant business aspects identified. Then, in the last part, there is the evaluation of the results obtained, studying the correlation with existing accuracy results and quantifying the improvements achieved.
2023
ASSESSING FORECAST ACCURACY RESULTS IMPLEMENTING AN IMPROVED QUANTITATIVE METHOD FOR PERFORMANCE EVALUATION
The main objective of the paper is the formulation of a method to quantitatively evaluate the historical data that constitute the starting point for demand forecasting. This information makes possible to discriminate the different final accuracy results. In the first part there is the analysis of demand planning area, fashion business and eyewear product complexity. The second part is about the development of the project that starts from the study of the as-is asset of the company in evaluating forecast performance, analyzing at the same time the sources of improvement and existing mathematical and business concept helpful to reach an optimization. The project is developed using Excel visual tools integrating selected mathematical methods with relevant business aspects identified. Then, in the last part, there is the evaluation of the results obtained, studying the correlation with existing accuracy results and quantifying the improvements achieved.
DEMAND PLANNING
FORECAST ACCURACY
DEMAND VOLATILITY
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/77800