What are the application scenarios of industrial big data platform?

The original application systems of manufacturing industry (ERP, SCM, CRM) have accumulated a lot of data with the development of enterprises, but they have not been effectively used. Therefore, the key to the application of industrial big data is to build a comprehensive and in-depth information platform through software such as business intelligence and integrate all kinds of data.

Specific applications, such as optimizing the production line through Fansoft's business intelligence tool FineBI, enable managers of different processes in the factory to obtain real-time data and consult different reports. Production managers can monitor productivity, plan productivity and optimize resources according to key performance indicators (KPI) such as production time, capacity utilization rate and resource utilization rate. The manager of quality management department can improve product quality through product defect analysis, while the senior management can improve the return on investment through more effective cost control and expenditure analysis.

Secondly, improve the supply chain, such as promoting JIT management and reducing inventory investment costs through comprehensive sales analysis and inventory analysis. Select the supplier with the best quality and price through supplier analysis (comparative analysis of similar product prices, order delivery date, quality and accuracy). Through production cost analysis (multi-angle cost analysis, volume-cost-profit analysis, proportion analysis, comparative analysis and profit analysis), the expenses incurred in inventory management and production process are monitored to help decision makers find unreasonable inputs in production management and strengthen cost control in advance.