Auto parts product quality traceability MES system case


Auto parts product quality traceability MES system case

1. Project Overview

At present, the customer’s production line uses traditional product quality traceability for production management, and lacks effective control over output rate, quality fluctuations, process stability, etc. and production information. Quality problems are difficult to control, and manual statistical data methods cannot meet today’s complex Changeable market competition needs. The production line is now undergoing a full-line transformation, the product traceability system is developed and implemented, and data interaction is completed with the existing data acquisition system, equipment inspection, personnel management, SAP and other systems, to achieve the production process parameter file, product quality traceability, and processing parameters Statistics, process equipment inspection, maintenance and school value can be traced to provide guidance for the company's production management. The system includes 6 modules: forward tracing, reverse tracing, report system, process management, production progress tracking, and trend and curve.

2. Function highlights

Time space theory

The product model is established through time and space theory, and the unique product identification of the barcode (two-dimensional code) is used to define the location coordinates (time location and geographic location) of each product under the time-space system. It supports storage according to time location and time range, and more Good to realize the forward and reverse traceability of products.

Change as needed

Based on a model-based approach, it can be changed as needed. The screen, data, calculation model, and object are synchronized online, and the model meets both common and individual needs.

Multi-dimensional information display

Time is divided into: Quality-related plans (future)-"Quality-related monitoring (now) -" Quality-related traceability (history). Spatially divided into: quality-related data on each production unit (each quality inspection unit, each production unit, each transfer unit, and each storage unit).

The dimensions are divided into: product and quality related data, equipment and quality related data, material and quality related data, personnel and quality related data, energy and quality related data, output and quality related data.

Multi-system integration

In this plan, a product traceability system is developed and implemented, and data interaction is completed with the existing data acquisition system, equipment inspection system, personnel management system, manual entry system and other systems, realizing multi-system integration.

3. system architecture

4. The factory model

Time and space model:
Data model, data calculation model and graphical calculation model:

5. System function modules

(1) Forward traceability

The system obtains the process parameters, processing history, processing time of each process, operator information, equipment inspection and maintenance records, etc. and related quality information of the product in each processing and production link by entering the two-dimensional code of the produced product, so as to realize the correct product information. To retrospect.

(2) Reverse tracing

The product can be searched according to the specified conditions, and single or multiple comprehensive queries can be performed according to the time range, batch number, product status, and key parameter range, and the product barcode and key information that meet the query conditions can be searched. Click on the bar code to view the detailed information of product production and realize the reverse traceability of product information.

(3) Reporting system

It can automatically generate business-related data reports, and support the generation of relevant information reports according to shifts, work sections, production lines, and time ranges. The specific format and content can be customized.

(4) Process management

Realize the management of different process parameters for each type of product, support the addition, deletion, modification, and check functions of each process parameter, and provide guidance for each production link.

(5) Production progress tracking

Realize the view of historical work orders and the production progress of production work orders, and perform an intuitive comparison of planned production quantities and actual production quantities.

(6) Trends and curves

According to the granularity of the year, month, and day, statistics are made on the product pass-through rate, product qualification rate, equipment capacity and equipment efficiency of the production line, visualize each granularity data, and generate related trend curves.

6. Project summary or typical application

The following objectives are achieved through the construction of this project:

1) Establish the association between the product and the production and processing process, and realize the product traceability function.

2) Establish a product quality management system to realize product quality traceability.

3) The traceability function realizes the traceability of the whole process from raw materials to finished products, from processing machines to operators.

4) Provide data, systems and platform foundations for enterprises to establish production management systems and develop towards digital and intelligent manufacturing.

The product traceability system is of great significance to help users find quality problems in time, improve production processes, and strengthen production process management. In addition, the product traceability system also enables customers to quickly define responsibility for recalled products. If it is a matter of "inversion of burden of proof" laws and regulations, the system can also accurately query the actual status of product design, manufacturing and testing capabilities to provide the most complete original data for proof.