MES system solution for Asia control cable manufacturing industry


MES system solution for Asia control cable manufacturing industry

The key problems faced by a factory in the production process:

Difficulties in digitizing production data
  • At present, each production line is independent of each other, forming a lot of isolated information, and it is inconvenient to summarize the production information;
  • The bottom electrical of each production line is composed of plc plus TD400 text display, which displays some alarm information, which can only achieve the automation of a single device.
Difficulty in product quality traceability
  • The review and approval of process parameters are in the form of documents, and it is troublesome to adjust and issue process parameters;
  • The on-site process parameters were not fed back to the process engineer in time, and the on-site process parameters failed to realize error prevention;
  • In the production process, quality mainly includes optical cable appearance detection and OTDR optical cable reduction detection. At present, these two data are recorded by manual paper. The data record contains subjective factors of the recorder. When a problem occurs, the analysis problem is Certainty
  • If the product has quality problems, the production process needs to be reshaped. The basic data during the production of this optical cable will be used, and it is difficult to return the corresponding data;
  • At present, it is impossible to trace the history of the process parameters of a certain order, and it is impossible to find the best process practice through the inspection results.
Difficulty in standardizing workflow
  • At present, in the production process of the factory, the quality problem feedback from the production plan is basically communicated manually. When encountering quality problems, the team leader conducts resource coordination and feedback. The relevant responsible persons cannot be notified in the first time, which affects the problem resolution. Timeliness and accuracy.


Data collection and storage---Deploy IO servers data collection software to collect real-time equipment data in the production process of multiple production lines. The production process data is stored in the Kinghistoria industrial database, and the relational data is stored in the SQL server database.

Personnel management---Complete the organizational structure in the system to facilitate the assessment of personnel performance, and real-time adjustment of personnel permissions online.

Equipment management---Establish a complete equipment file, and conduct a comprehensive management of the entire process of equipment from purchase to scrap. Develop regular equipment maintenance plans, and record and track equipment maintenance.

Material management---Detailed records are made on the inventory and the warehousing and exit conditions to realize inventory transparency. Track the use of materials in production, clarify the number of remaining materials in the production line, and determine whether an application for ingredients needs to be issued.

Quality Management --- Carry out quality inspection management on products, determine specific inspection methods, inspection procedures, etc. Manage and record each process and batch of materials used in the production process. When quality problems occur, trace the cause of the problem and the same batch of products or products using the same batch of materials based on the barcode. . Perform statistical analysis on products of different quality.

Real-time tracking of the production process---track the production data and equipment operation data in the entire production process, and output it through the kanban and the client to analyze whether it is abnormal and trigger an alarm if it occurs.

Project running screen: