The full name of MES is "Manufacturing Execution System", which is responsible for putting production missions into effective practice, combining the planning system distribution at upper-level (ERP) with the practical working system at lower-level (PLC-Programmable Logic Controller,SCADA-Data Acquisition and Monitoring System) in flexible manufacturing production.
MES is a "supervisory system responsible for implementing production tasks",Jeenoce core engineers who used to be members of automated assembly line teams in Europe and America and have undertaken international projects (automation assembly lines for the top 500 global automotive companies),which can provide you and your plant with personalized, intelligent and data-integrated MES.
In this way, self-adjustment to flexible needs and market and accurate management of cost and profit can be realized.
“MES” is generally considered as the intelligence process of centrally essential to plant in automated assembly project.
Its core structural principle is based on the ISA-95 model,which divides automated assembly line into four parts: enterprise level giving orders, execution level monitoring and distributing tasks, control level receiving tasks and equipmejint level performing missions. MES is mainly responsible for the execution level by translating upper-level commands with codes so that lower-levels can operate directly.
To actually realize the expectation, firstly attain real-time process statistics and integrate them into real-time database by various devices such as sensors, RFID and code scanners, etc.
And then statistically analyze the data statistics and errors in each section by algorithm. Finally, the transformation from plenty of data into a visual boards with BI (Business Intelligence) assists management personnel understand production situation and modify their production plan.
The development of MES project is generally customized based on the basis of the design of automated production lines, in need of match with production environment at this moment.
Furthermore, to some extent,can help enterprises identify inefficient production processes and production technology prone to errors with manual operation, including make alarming to equipment maintenance and abnormal production to guarantee the continuous operation of production line.
Workshop production management | Distribute tasks to each production procedure and equipment to enable realize the organic collaboration of equipment and personnel, whose work efficiency can be enhanced. Future earnings can be benefited from the angle of data analysis. |
Responsibility tracking | Help management increase production capacity by improving its procedure, with the collection information of production yield, and the supervision of yield rate and material loss. |
Material distribution | Achieve real-time supervision of production by connecting warehouse management system so that the information about material distribution is delivered to picking robots or picking workers with messages or other forms etc.,. In this way, continuous production line work is guaranteed without material problems. |
Equipment management | Enable management to observe real-time working status and operation situations of each equipment and then regulate maintenance, replacement and other purposes. |
Visualized presentation | Gather all data to the statistics center and take them with code and algorithm to update the visualized central control screen in real time. In this way, on-site management can find out production issues immediately and the remote ones can offer direction with reliable data reference. |
Multi-protocol connection | MES system are capable of adapting to the underlying device protocols(OPCUA/ Modbus RTU/ ASCII/ TCP/ EtherNet/ IP/ CANopen/ PROFINET/ EtherCAT), protocols and interfaces of the upper- level management system (Web Service (SOAP/REST), database intermediate tables, Message Queue (MQ), file transfer (CSV/XML/JSON), etc.), integration protocols of peripheral systems (WMS (Warehouse Management System) integration, QMS (Quality Management System) integration, PLM (Product Lifecycle Management) integration, Energy Management System, etc.) and standardized protocols of cross-platform integration (ISA-95/ISO 22400、OPC UA Companion Specifications and so on), which is also the reason why intelligent manufacturing can be driven by data. |
There are mainly two reasons for the emergency of MES.
On the one hand, it is internal: how should the overall management and control of an enterprise regulate its production schedules? How to optimize the production process? How to determine the material reserves? How much money should be invested here? How much profit can be got? Is it possible to increase earnings in a flexible means under the circumstance of controlling cost?
On the other hand, it is external: How to prove the promise to finish the project order within the manufacturing period? How to ensure my quality? How to make clients trust the authenticity of production as I do?
Compared with futile descriptions, data stands for a more acceptable reason to the majority of people.
Fortunately, what MES tackles is no other than the problems that can not be solved by traditional plants:
Problems that traditional factories can not solve | Solutions proposed by MES |
Not knowing the specific production cycle and output | Count data in real time and obtain specific number with algorithm. |
Not knowing which specific procedure leads to quality problems (it can be each link) | Tracing records throughout the production process which assigns responsibility to each individual and device, including online inspection settings for each single or part of process to guarantee expected quality. |
The overall production efficiency is not high and not knowing how to raise efficiency currently | Discover that some production procedures or technology can be replaced in a better way through monitoring entire process, in order to achieve the effect of decreasing or controlling cost and increasing efficiency. |
Carelessness of warehouse managers, delaying production because of the putting off of many tiny accessories | Connect with warehouse system,and manage materials in a detailed and delicate way, standardize operations of warehouse personnel to avoid production delays. |
Vague production plan establishment based on instant emotional pulse | Statistics reports offer a clear prediction of the situation of the entire production cycle with that of the one-week cycle in order to help managers plan production in a more accurate method. |
Incapability to make clients trust quality and production capacity, leading to missing orders | Complete statistics report and visualized real-time on-site, and the quality inspection of each procedure can eliminate 99% of clients’ doubts. |
Provide one-stop flexible line solution from design, development to deployment, meeting various production settings.
The most appropriate line solution to clients planned by the world-class engineering teams with innovation, efficiency and professionalism.
Being able to deal with various scales of projects with plenty of relevant experience on military, automotive, medical and new energy industries and other fields.
Thorough consistency of lean management notion to maximize production efficiency for clients.
Deeply integrated with the enterprise’s production process and management requirement, and smooth connection with practical actual businesses.
Enhance the enterprise’s competitiveness in the market by optimizing the resource allocation and strengthen overall production capacity.
Transparent production process assists management in making informed decisions to improve operation efficiency.
Ensure no failures with four-phase delivery process from requirement freezing, simulated testing and gradual launching to full verification.
Ensure immediate improvement upon launch with overall process standardized delivery system which is from requirement research, solution design to systematic deployment.
Based on the delivery experience accumulated from plenty of industry cases (discrete manufacturing, process manufacturing and flexible production lines).
The “delivery as a service” model helps the enterprise quickly acquire system management capabilities to avoid disconnection problems.
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