How to Test Nine Million Vehicles Without Impacting Production
Pyramid Solutions Inc. helps deliver a complete set of new testing software and documentation to a worldwide automotive OEM.
Pyramid Solutions Inc. helps deliver a complete set of new testing software and documentation to a worldwide automotive OEM.
Tier 1 Automotive Supplier implements IntelliWORKS. Find out how our MES met and exceeded our client’s goals.
Data is constantly the talk of the town. Manufacturers have the ability to collect data on almost anything. So the question becomes, what data should you collect? We identified eight key performance indicators (KPIs) that manufacturers should track and why.
What is Lean manufacturing? Lean manufacturing or lean production, is a systematic method for waste minimization within a manufacturing system without sacrificing productivity. To be a lean manufacturer, you need an agile manufacturing execution system (MES) that adapts to the manufacturing processes and provides monitoring and control functions to efficiently produce quality product in a non-intrusive manner.
For us to understand how to avoid a Quality Alert, we must understand what it is. By definition, a Quality Alert within the Manufacturing Industry is an official notification from the customer of the defects within a supplier’s delivered parts. In a typical manufacturing scenario, after a manufacturer receives a Quality Alert, the supplier is then required to construct and follow a remediation plan to avoid the described defects in all future deliveries.
The heart of your plant’s manufacturing operations is the manufacturing execution system (MES). If the heart is not performing like it once did though, then it may be time to consider intervention. Below are 10 warning signs that it is time to either replace your current MES or give it some much-needed attention and updates.
Do you have disparate manufacturing execution systems (MES) at your facility? Learn why an MES enterprise solution is the better choice.
Discover how this vehicle manufacturer reduced time and costs of field vehicles maintenance, increased customer satisfaction and decreased the complexity of their ECUs.
With more sensors now existing on the planet than people, companies are looking for new ways to reduce latency and increase security in their IIoT data. The answer they’re finding? The “fog.”
It seems that IIoT is disrupting the industrial sector in the best way by guaranteeing these improvements, but the fact is that most companies are not correctly or effectively implementing IIoT. Because IIoT gathers huge amounts of quantitative, largely unstructured data through sensors, your current analytics system is likely to be overwhelmed. Luckily, you just need one key to unlock the treasures that IIoT data has to offer: artificial intelligence (AI).
If you work at a manufacturing or supplier plant, you already know that tracking operations with paper-based methods has many issues. And for lean operations, a host of issues is not ideal for any plant.