Just-in-sequence (JIS) manufacturing is considered an evolution of just-in-time. It delivers the right parts to the right assembly line in the right order. Just-in-sequence is perfect for automotive manufacturing environments because production tends to be high-variety and low-volume.
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.
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.
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.
If it is doing its job, a manufacturing execution system (MES), fulfills the role of system of record by collecting “all” data associated with the manufacturing process. The traditional way to tap into this data avalanche is with reports. A useful system has many reports covering all the parts of the database.
Testing products for conformance to specification is an essential aspect of production that our client didn’t have.
As online sales continually rise, so will the pressure on warehouses. Take a look at industry trends according to a recent Zebra survey.
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.