An efficient integrated ERP system using multilayer perceptron

Abstract

Maintenance of data flow from one department to another is difficult in any organization currently, because of rapid growth in data. In order to maintain the data and to provide better services and enhance the organization’s revenue, enterprise resource planning system has been introduced. As the organization contains massive amount of data and to reduce up-front investment, secure cloud-based ERP systems have been used prominently. Apart from securely maintaining the data, goal of any organization is to increase their revenue and services to the customers. This paper proposes a novel method using artificial neural network multilayer perceptron to forecast the future to increase human resources, machinery and inventory in the organization. It has tested on clinical data repository and analysed the system performance by considering standard measures like RAE, MAPE, etc.