Opcenter Execution Process
Improved inspection visibility has supported data-driven decisions in manufacturing workflows
What is our primary use case?
Siemens Opcenter Quality's main use case for me is that it works with inspection and quality data in a manufacturing environment from a reporting and data analytics perspective. I focus on improving visibility into quality information and understanding how it connects with manufacturing execution systems, or MES. This helps teams access quality data more effectively and supports better monitoring and decision-making.
Another important aspect of my use case is connecting quality information with the broader manufacturing workflow. By improving visibility into inspection data and its relationship with MES, we can make quality information easier to access and understand. From a reporting and analytics perspective, this helps teams monitor quality-related activities, identify areas that may need attention, and make more informed operational decisions. Having consistent and accessible data is especially valuable in a manufacturing environment.
How has it helped my organization?
Siemens Opcenter Quality has impacted my organization positively because it is very useful. It has helped improve visibility into inspection and quality data within the MES manufacturing environment. From a reporting and analytics perspective, having quality information connected with the manufacturing execution systems makes it easier for teams to access relevant data and understand inspection results. This supports better monitoring of quality-related activities, helps teams investigate potential issues, and provides useful information for operational decision-making. The main positive impact is improved visibility and accessibility of quality data. I don't have a specific quantified metric to share, but I see value in having more structured and traceable quality information available to the teams that need it.
One area where the workflow can become more efficient is accessing and reviewing inspection data. With quality information available in a more structured way and connected to the manufacturing execution system, teams can more easily review inspection results and identify records that need further investigation. From a reporting and analytics perspective, this improves visibility into quality-related activities and helps teams make informed decisions without spending as much time researching for information across different sources. The main benefit I have observed is better access to quality data rather than a specific measured reduction in processing time.
What is most valuable?
From my perspective, the best features Siemens Opcenter Quality offers include inspection data management, integration with manufacturing execution systems, and the ability to maintain visibility into quality information. These capabilities help teams access inspection results in a structured way and understand the quality-related activities across the manufacturing workflow. I also see value in features such as statistical process control, inspection traceability, and non-conformance management because they help identify quality trends and areas that need attention. From a reporting and analytics perspective, having consistent and accessible quality data is particularly important for supporting operational decisions. I have worked on a QA team, so I have used Siemens Opcenter Quality.
Inspection traceability is valuable because it helps teams understand the inspection results and trace quality information back to the relevant manufacturing process or production record. For example, if a quality issue is identified, having accessible inspection data can help the team review the recorded results and investigate where further attention is needed. Statistical process control can also help identify trends or unusual variation in process measurements before they become larger quality concerns. From a reporting and analytics perspective, these capabilities are useful because they make it possible to support more informed decisions. My focus is on improving visibility into inspection and quality data and understanding how that information supports manufacturing operations.
What needs improvement?
Siemens Opcenter Quality could be improved with a more user-friendly interface, simpler integration with MES and reporting tools, and more customizable dashboards. Better performance monitoring and clearer data visualization would also help teams access quality information and identify issues more quickly.
For how long have I used the solution?
I have been using Siemens Opcenter Quality for the last one to two years.
What other advice do I have?
I can give a rating of nine out of ten because Siemens Opcenter Quality provides good visibility into inspection and quality data and supports manufacturing workflows effectively. The one point I deducted is for opportunities to improve the user interface, simplify integration with MES and reporting tools, and provide more flexible dashboards and data visualization. These improvements could make the overall user experience even better. Overall, Siemens Opcenter Quality is a good product to use.
Siemens Opcenter Quality's AI capabilities are exceptional. I believe governance and security are very important when using AI in manufacturing quality systems. Strong access controls, data protection, audit trails, and clear governance policies help ensure that sensitive production and quality data remains secure. AI-driven recommendations should also be transparent and validated before being used for critical quality decisions. I would appreciate clear documentation of AI capabilities, data usage, and monitoring controls to build greater trust and confidence.
Accuracy and reliability are important in manufacturing quality management. I believe AI-generated insights should be based on accurate, consistent quality data and validated against actual inspection results. Any recommendations should be reviewed before being used for critical quality decisions. I would also value clear explanations of AI outputs and reliable performance across different manufacturing scenarios. Human oversight remains essential to ensure quality and safety.
My advice is to clearly define your quality management requirements and evaluate how Siemens Opcenter Quality fits into your existing manufacturing workflows. Pay particular attention to inspection data management, MES integration, traceability, and reporting capabilities. Start with a focused implementation, provide proper user training, and validate the data and workflows before scaling up. This can help you get better visibility into the quality information and make more informed operational decisions. My overall review rating for Siemens Opcenter Quality is nine out of ten.
Integrated shop floor execution has improved traceability but still needs better UX and lower cost
What is our primary use case?
I also work on Siemens Opcenter Quality.
I function as a Tier 1 or Tier 2 supplier. I do subcontracting for Siemens, which has its own partners. From the partners, I become a subcontractor of Siemens.
What is most valuable?
The first thing is that there are not many good softwares for shop floor execution, and Siemens Opcenter Quality is one of the good tools which works on the shop floor. It is an integrated software to capture end-to-end process. I can perform the operation, do quality check and if it fails, I can raise a non-conformance. It directly goes to Teamcenter as a change request. This integration between the systems and automation is the unique selling point of this software. If I buy something from outside, maybe they may not get integrated and all those problems I may get into it. However, here it is a tight integration because it is coming from the same product.
Siemens Opcenter Quality is connected with the edge software on the shop floor machines. Automatically, when it is coming up, all the statistics and real-time information of each and every product being manufactured or assembly being done is getting updated into Siemens Opcenter Quality. Siemens Opcenter Quality has something called Manufacturing Excellence. These are dashboards which will continuously give the OEE and all those information directly to the user. It will also capture complete plant information. This is a good thing for this aspect.
Another valuable feature is the traceability feature.
What needs improvement?
There are a lot of features which are missing in Siemens Opcenter Quality. Something that comes to mind right away is the BOM, the Bill of Material and other things. Usually, from the sender, it is sent as a Bill of Material hierarchy. There, it is treated as a part list only. Even though they have hierarchy, it is not exactly the same hierarchy that I see in Teamcenter. These things they can improve better, and that will be helpful. The user interface should change. It is not user-friendly because it is used by somebody on the shop floor. It should be so intuitive that anybody can just look at it and be able to understand. But right now, the UI looks very busy. I can say it is a complex UI.
It is really expensive, too expensive.
There are no major products in the market which does this. I saw some things in Europe which are open source, but not great softwares. They are open source, so they are almost free with less price, but this runs into millions. I was looking for around 10,000 users and it almost cost me four or five million worth of software.
For how long have I used the solution?
How are customer service and support?
What other advice do I have?
I will give an example from my Indian experience. I went to one of the manufacturing companies and usually the operators are supposed to review the work instructions and implement them. There was a guy with 20 years of experience who was not even looking at the work instructions and was machining the product. I asked him, "What is the problem with you? Why don't you check it?" He replied, "I have been doing this for the last 20 years, the same thing." However, he does not know whether in the last one year or last one month, there may have been a change in shape or a size or a material or something got changed. The process might have improved. He does not know. However, these systems will enforce them to view the work instructions and then only operate it. Without viewing, it will not allow the operation. These types of restrictions on the shop floor are needed, and most of the time shop floor people reinvent the process, which can lead to more scrap. They are not supposed to reinvent. They are supposed to only build what the process planner has designed or the manufacturing engineer has designed. If they are asked to design something and follow the process and these people are creating a new process, maybe experienced people can do a better job on the shop floor, but everybody is not experienced and everybody does not know the complete details that the engineer or the manufacturing engineer or the process planner knows. So these people should not invent anything on the shop floor. If I do not have this type of systems, maybe some companies are running, but they do not understand how much waste they are creating because of this recreation at the shop floor. Those things are what need to be the game changer for everyone.
It is medium complex. Anything involving enterprise products will be a bit complex. However, it is doable.
My overall review rating for this product is 7 out of 10.