Sold by: Siemens Digital Industries Software
Deployed on AWS
Opcenter Execution Process is a manufacturing execution system (MES) designed to ensure the perfect quality required of process-manufactured products
4.3
Overview
Opcenter Execution Process software is the Siemens manufacturing execution system (MES) for the consumer-packaged goods, food and beverage and chemical industries. Using Opcenter Execution Process will help you increase traceability, manage orders more efficiently and monitor production in real time - all based on a state-of-the-art platform and application approach. Opcenter is part of the Siemens Xcelerator portfolio, the comprehensive and integrated portfolio of software, hardware and services.
Highlights
- Institute a high degree of vertical integration Orchestrate and manage the distinctive aspects of manufacturing consumer packaged goods (CPG), food and beverage (F&B) and chemical manufacturing. Meet both the special requirements of formulated product operations and the demands of secondary manufacturing operations, like packaging, labeling and palletizing finished goods, with a unified MES for process manufacturing
- Manage materials, formula, recipe and batch management Reliably determine and track variable key performance characteristics of incoming raw materials (acidity or viscosity, for example) as well as time-sensitive parameters (ripeness, shelf life). Rely on close integration of our MES for process manufacturing and a specification management system to gain efficiency and accuracy in managing formulas, recipes and bills of materials (BOMs).
- Perform integrated quality sampling and testing Track monitoring and testing of critical characteristics of raw ingredients and intermediate and final products. Our MES for process manufacturing enables exceptional vigilance to ensure product safety. Closely tie MES with laboratory information management system (LIMS) software to manage frequent batch sampling and laboratory testing.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Custom Quote | One year pricing for 10 users starting at: | $37,000.00 |
Dimensions summary
This listing uses a single contract-based pricing option: a custom quote. Pricing starts at a one-year rate for 10 users. Your cost scales with the number of users you license. Because pricing is quote-based, you work with the vendor to set the final amount for your user count and term. There are no separate tiers, instance sizes, or usage add-ons to choose from. The manufacturing execution system covers process manufacturing operations under this one arrangement.
Top-of-mind questions for buyers
The pricing unit is a named user of the manufacturing execution system. The starting rate covers 10 users for a one-year term. Each additional person who needs access is licensed as a separate user, so your cost tracks the number of people using the software.
Cost scales with your user count. The published starting rate assumes 10 users for one year. Adding users raises the licensed quantity and the total price. Because pricing is quote-based, you work with the vendor to set the final amount for your specific user count and term.
The license covers process manufacturing operations. This includes materials, formula, recipe and batch management, order management, real-time monitoring, and integrated quality sampling and testing. It also supports packaging, labeling, and palletizing of finished goods. All these capabilities fall under the single custom-quote arrangement.
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Updated weekly
By Siemens Digital Industries Software
By BigBear.ai
By Simudyne
AI generated from product descriptions
Manufacturing Execution System
Designed for consumer-packaged goods, food and beverage, and chemical industries to manage process-manufactured products with real-time production monitoring
Material and Recipe Management
Tracks variable key performance characteristics of raw materials and manages formulas, recipes, and bills of materials with integrated specification management system
Quality Sampling and Testing Integration
Integrates with laboratory information management system (LIMS) software to manage batch sampling, laboratory testing, and monitoring of critical product characteristics
Production Traceability
Provides traceability capabilities to track raw materials, intermediate products, and finished goods throughout the manufacturing process
Secondary Manufacturing Operations
Orchestrates and manages secondary manufacturing operations including packaging, labeling, and palletizing with unified MES platform
Discrete Event Simulation
Enables discrete event simulation modeling to test operational changes and their impacts on production and scheduling.
Digital Twin Modeling
Creates dynamic, animated digital twin models of business environments from CAD files, process maps, or value stream maps for visualization and analysis.
Scenario Comparison and Analysis
Supports independent scenario execution and comparative analysis through an Output Viewer to evaluate multiple operational improvements simultaneously.
Predictive Analytics
Provides predictive analytics capabilities to forecast outcomes and determine optimal business performance with probability-based goal achievement assessment.
Capacity Planning and Optimization
Enables optimization of capacity planning, scheduling, and production flows while identifying and preventing operational bottlenecks.
Agent-Based Modeling Architecture
Models utilize agents as objects that mirror real-world entities at multiple levels of detail, with agents communicating through message passing to simulate real-world interactions and their effects over time.
Distributed Computing Capability
Models can be optimized and distributed across multiple nodes in local hardware or cloud environments, with the SDK aggregating outcomes from multiple model runs into a distribution of results.
Supply Chain Simulation Module
Includes supplykit module providing classes for network-based supply chain simulation with APIs for modeling distribution facilities, products, goods processing, and transport methods.
Development Environment Stack
Includes Java, Apache Maven, and JetBrains IntelliJ pre-installed to support development and execution of agent-based model simulations.
Complex System Modeling
Supports modeling of complex scenarios including temporal complexity increases, emergence of new entities, system feedback responses, and contagion processes.
Standard contract
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Customer reviews
sriramsoma
Improved inspection visibility has supported data-driven decisions in manufacturing workflows
Reviewed on Oct 09, 2026
Review provided by PeerSpot
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.
Naresh Kumar
Integrated shop floor execution has improved traceability but still needs better UX and lower cost
Reviewed on Aug 13, 2026
Review from a verified AWS customer
What is our primary use case?
I do not work on something called a PLM in the traditional sense. I am more into the PLM space, specifically Product Lifecycle Management, working with products from Siemens and Dassault. In Siemens, I work with something called Teamcenter. Dassault is another French company that also creates PLM products. Aras is another company from the US that creates PLM products. I specifically work on those only.
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?
Siemens Opcenter Quality is mostly used for execution systems, not especially on quality. Once in the PLM world, I define the product and what to manufacture. Then in the ERP world, they tell me what to manufacture and when. Siemens Opcenter Quality is all about day-to-day or shift-to-shift operations, what is getting manufactured and how it has to be manufactured, who will manufacture and who has to test the quality. All those things are available on Siemens Opcenter Quality. A particular user will be assigned to it on the shop floor, and the operator takes their Siemens Opcenter Quality work order and goes through the operation list or the process plan which comes from Teamcenter. They execute everything. One of the steps can be a quality check. They will also be getting some sort of a quality input documents. They will measure, and if any measurements are there or any CMM machines are there, it will measure it and automatically fill the quality documents. Siemens Opcenter Quality is totally about shop floor execution software. It covers everything from operator to the machine to the raw material, to the work order, to the execution, and then updates back into ERP regarding work in progress. Every shift, it has to update back into the ERP. This is how Siemens Opcenter Quality is effectively used for shop floor operations.
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?
Siemens Opcenter Quality's look and feel is not great. It looks like too many fields and other things. It is not Gen Z friendly because everything has to be typed. There is nothing around voice control or the ability to just speak to it. Those things are missing drastically. It looks like a web interface, but it looks more like Excel. I have to fill so many fields and readability-wise, it is not great on that front from a UX perspective. They are improving, but still not to the standards of current generation or current UI/UX design. It is a bit old.
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?
I have been working on the same products for almost 25 years. Siemens Opcenter Quality is pretty new, but I have been working with Teamcenter for the last 20 years, minimum 20 years.
How are customer service and support?
Siemens is always good. They get paid, and it is always consistent. I have to take the membership and become a member of them, and they do very good support. GTAC support is there for them.
What other advice do I have?
There is a lot of value in the money with Siemens Opcenter Quality. Right now, when talking about any industry which is doing design and manufacturing, people have been using automation in designing from 1980s when the CAD software came up. Then around 2000s, something called PLM came up with process planning, and ERP is already there. ERP is mandatory. However, for operations on the shop floor, there is no mandatory tool. Everybody uses Excel or the shop floor production manager, and the production supervisor's brain is important. This tool will decrease the dependence on Excel. In Excel, a human has to intervene and do all those things, and if something goes wrong, everything has to be rescheduled for that particular shift. At that time, time is lost and I need the supervisor and only with his brain can he tell what is the right way or the optimal way. However, this tool can optimally do the recalculation and based on the number of machines available, number of operators available, and number of the products and work orders they are about to complete. Based on that, this automatically calculates. This is really a game-changing software. There are some people who are building it, but I do not know how good they are in the market. As part of my job, I am also trying to build this type of software internally. Maybe in six months, I will be having a prototype type of solution from my end.
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.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)