The typical problems facing with apparel companies and supply chains are forecasting errors,
because fashion markets are volatile and difficult to predict. For that reason, the ability
to develop accurate sales forecasts is critical in the industry. There are several research
studies related to forecasting apparel goods, but very often only for one level. However,
apparel companies and supply chains deal with a number of levels at which the forecasts
could exist and require consistent forecasts at all of them. The paper presents a hierarchical
middle-term forecasting system designed for this purpose on the basis of a literature review.
The system is built by the top-down forecasting approach and verified by means of a case
study in a particular apparel company. The weaknesses of the system are identified during
discussion of the results acquired. A generalised concept of the ANN forecasting model is
designed for elimination these weaknesses.Web of Science21611
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.