Industrial Big data Application for production process Life cycle

Challenges Lying in Industrial Enterprises

  • No timely display of production information;
  • Failures of a real-time monitor for production process and facilities;
  • Difficulty of accurate calculation of human cost;
  • High maintenance and administration fees for equipment;
  • Increasingly further requirements of automation degree of production process and equipment;
  • Products quality traceability system yet to be established.
  • Product quality traceability system has not been established

Platform Introduction

Through model analysis and algorithm prediction, industrial big data application platform for production process life cycle is to conduct the unified access, storage and analysis of the existing PLM system data, CAPP, ERP, MES, Lean production pull sys-tem and other data, detect the relationship between the data, optimize the enterprise's supply chain and production process, improve product yield,and enhance business efficiency.

Platform features

Application Value

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