Forecasting accuracy is an important issue for effective decision making in the areas of strategic planning, production planning, inventory management and other areas. In particular, this aspect is most relevant for items that have demand patterns with important levels of intermittency and lumpiness. This work describes the efforts of a Mexican company to look for opportunities to improve the level of forecasting accuracy through the application of demand aggregation. Results of the pilot studies of implementing the suggested initiatives are provided.
Undergraduate Student Paper Competition
Applying Demand Aggregation to Improve Forecasting Accuracy
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