AlphaMES

​Manufacturing Execution System

MES is an application software that helps enterprises to collect and monitor the production materials in the manufacturing process from receiving orders, carrying out production, process control to product completion, so as to ensure the quality and efficiency of product production.

Through relational database, graphical user interface and open architecture, MES can integrate core business processes such as orders, suppliers, quality control, production, equipment maintenance, quality control and so on, and transmit real-time production information on factory production lines to users accurately through Web or other communication modes. It can provide on-site emergencies information to users immediately when production emergencies occur. The purpose of introducing MES is to reduce the negative impact of activities without added value on the operation of factories, and to improve production process and efficiency.

AlphaMES

Diversified

Module

AlphaMES Advantages

From Data to Intelligence

Entry-level personnel

Raw information

  • Data acquisition

  • Production equipment

  • Transportation equipment

Mid-level management Personnel tabulation

  • Feed monitoring

  • Equipment monitoring

  • Production monitoring

  • Labor resource monitoring

  • Workflow monitoring

  • Quality Control

High-level management Employee's advice

  • Workshop equipment management

  • Manufacturing index management

  • Statistical quality management

  • Analytical tracking management

Manufacturing production

Operational analysis suggestions

  • Plant resource management

  • Manufacturing procedure management

  • On-site manufacturing management

  • Manufacturing progress management

  • Customer return management

Benefits

  • Complete Production History

  • Products can be analyzed through records

  • Clear production process

  • Reduce the feeding errors of production personnel

  • Real-time control of plant equipment status

  • Increasing the efficiency through automatic job reporting

  • Avoiding manual errors of parameter settings

  • Improving product yield

Data source: MESA International Survey Statistics

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