Textile Items Classification for Sales Forecasting
نویسندگان
چکیده
In order to reduce their stock, to avoid ruptures and to direct their marketing policies, textile companies must improve their supply chain management. This organization requires forecasting systems adapted to the uncertain environment of the textile field. Taking into account also delivery constraints, textile distribution need mean-term forecasting (one season) in order to launch new production. The proposed model, based on items classification, performs mean-term forecasting from forecast established on items families. To evaluate accuracy of our model, a simulation is realized on real sales data of an important ready to wear distributor.
منابع مشابه
An Automatic Textile Sales Forecast Using Fuzzy Treatment of Explanatory Variables
To reduce their stocks and to limit ruptures, textile companies must improve their supply chain management. This organization requires sales forecasting systems adapted to the uncertain environment of the textile field. The uncertainty is characterized by noisy data, short historic and numerous explanatory variables that influence the sales behavior. This paper deals with new forecasting models...
متن کاملSales demand forecasting in a textile factory using artificial neural network
Sales demand forecasting is an important issue for manufacturing companies. Indeed, such forecasting is decisive in the management of the production systems. This work compares the performance of an Artificial Neural Network to traditional methods in forecasting the sales demand in a textile factory over a reduced data set.
متن کاملSales Budget Forecasting and Revision by Adaptive Network Fuzzy Base Inference System and Optimization Methods
The sales proceeds are the most important factors for keeping alive profitable companies. So sales and budget sales are considered as important parameters influencing all other decision variables in an organization. Therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. In this research a coherent so...
متن کاملAn Economic Production Quantity Model for Defective Items with Sales Return Service, Scrap Items and Rework
In this model, we establish an inventory model to determine the optimal inventory replenishment scheme for the economic production quantity (EPQ) model for imperfect, deteriorating items with sales return service under multiple production and rework setup. In one cycle, production process can produces the products in m production setups and reworks the defective items in one rework setup. The c...
متن کاملOn the identification of sales forecasting models in the presence of promotions
Shorter product life cycles and aggressive marketing, among other factors, have increased the complexity of sales forecasting. Forecasts are often produced using a Forecasting Support System that integrates univariate statistical forecasting with managerial judgment. Forecasting sales under promotional activity is one of the main reasons to use expert judgment. Alternatively, one can replace ex...
متن کامل