Sales demand forecasting in a textile factory using artificial neural network
نویسنده
چکیده
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.
منابع مشابه
The Optimization of Forecasting ATMs Cash Demand of Iran Banking Network Using LSTM Deep Recursive Neural Network
One of the problems of the banking system is cash demand forecasting for ATMs (Automated Teller Machine). The correct prediction can lead to the profitability of the banking system for the following reasons and it will satisfy the customers of this banking system. Accuracy in this prediction are the main goal of this research. If an ATM faces a shortage of cash, it will face the decline of bank...
متن کاملUsing the hybrid Taguchi experimental design method – TOPSIS to identify the most suitable artificial neural networks used in energy forecasting
The use of artificial neural networks (ANN) in forecasting has many applications. Appropriate design of ANN parameters enhances the performance and accuracy of neural network models. Most studies use a trial and error approach in setting the value of ANN parameters. Other methods used to determine the best structure of a neural network only use a single evaluation criterion to determine the ap...
متن کاملEfficient Short-Term Electricity Load Forecasting Using Recurrent Neural Networks
Short term load forecasting (STLF) plays an important role in the economic and reliable operation ofpower systems. Electric load demand has a complex profile with many multivariable and nonlineardependencies. In this study, recurrent neural network (RNN) architecture is presented for STLF. Theproposed model is capable of forecasting next 24-hour load profile. The main feature in this networkis ...
متن کاملShort-term and Medium-term Gas Demand Load Forecasting by Neural Networks
The ability of Artificial Neural Network (ANN) for estimating the natural gas demand load for the next day and month of the populated cities has shown to be a real concern. As the most applicable network, the ANN with multi-layer back propagation perceptrons is used to approximate functions. Throughout the current work, the daily effective temperature is determined, and then the weather data w...
متن کاملDemand Forecasting Using Neural Network for Supply Chain Management
The demand forecasting technique which is modeled by artificial intelligence approaches using artificial neural networks. The consumer product causers the difficulty in forecasting the future demand and the accuracy of the forecast In performance of the artificial neural network an advantage in a constantly changing business environment and demand forecasting an organization in order to make ri...
متن کامل