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In today's global economy, ensuring the quality and safety of the products we produce is more important than ever. One way to ensure product quality is through manufacturing traceability, the process of tracking products from start to finish.
The powerful tool of “traceability” boasts among its superpowers the ability to significantly shorten the time it takes to spot potential problems on your line and prevent or correct them before they become costly blunders.
This article will discuss what manufacturing traceability is, why it's important, and how it can be implemented in your production process.
Data access drives the modern production environment. Manufacturing and the supply chain are full of interwoven complexities that require an automated system to keep up with everything. Traceability gives you the power to track and share data on the production line with ease.
Traceability has two functions:
Newer technologies such as IoT and cloud computing stacked with advanced on-premise options enable an organization's MES to collect more detailed information and distribute it effortlessly. Traceability saves time and money by making any problems on the production line easier to identify and fix.
You’ve learned so far that companies need traceability to record data and then share it so they can eliminate lengthy and expensive trial and error troubleshooting. You may be wondering at this point precisely what type of data is useful to trace. Typically, the more information you can trace about both the process and the materials used the better.
Here are some significant areas of the process that you ideally want your MES to keep track of for each part or component in real time on each manufacturing job.
Modern MES also possess the powerful capability of tracking detailed information about the materials you are using. Having the means to record the following information (via machine data integration) to each part is also essential to keep your line running smoothly and cost-effectively.
Now, you should start to see the potential of traceability. In the example of the “six-figure inductor” examined previously, traceability would have substantially cut the time needed to solve the problem. Depending on the level of traceability used, engineers could have zeroed in on the out-of-spec component and solved the problem in hours instead of weeks.
The slight shift in the center frequency of an inductor created a “showstopper.” Big, sudden, radical shifts can occur from seemingly insignificant causes on the other end. The first thought was, “the drop in yield is significant, so most likely the problem lies in the most complex parts, the semiconductor chips.” That’s a logical assumption when you are working with limited or no information.
Unfortunately, in this case, the guess turned out to be dead wrong; the problem happened to be in a component less prone to problems. This wrong guess caused the team to waste valuable time testing chips that were functioning correctly.
When more information is available, engineers often refer to a better approach to troubleshooting as “commonality analysis.” The method involves answering a series of questions. Naturally, the more information available, the better a commonality analysis will work.
First, you identify good and bad populations of components. The idea is to answer the question, “What is uniquely common to the bad parts?”
Whether you've heard it called by that name or not, commonality analysis is the heart and soul of problem-solving on a manufacturing line. Traceability, and more specifically the level of traceability, determines how effectively you can prevent problems from occurring and how quickly you can recover from the ones that do happen.
Traceability has been around to some extent since modern manufacturing plants first started cranking up in the last century. What’s rapidly changing is the reach that advanced technology gives to manufacturing data. As you seek to control what is happening on the line, the more data you can collect and share gives you a better picture of what is happening at any given moment.
When a component is out of spec, it will tend to stick out like a sore thumb. If a particular operator or machine is performing poorly, a red flag will alert you before the damage is too great. Getting information to the right person or team is no longer a struggle; it can happen automatically.
Not every production situation needs the most advanced level of traceability. Depending on the circumstances, you may need fewer data points to make your component, part or product efficiently. Deciding what you need will usually come down to analyzing the available options and figuring out where your needs fit within the spectrum of what is possible. It can feel confusing, but traceability boils down to just two types:
If you build parts in batches, you do not need to track them individually. Knowing each part's lot is usually sufficient.
When you use individual parts to create assemblies or finished products, you can assign each particular component a unique serial number. Unique identifiers allow you to track every action taken on each part.
With the added advantage provided by technology, the era of serialized traceability is beginning to enter the mainstream of the manufacturing environment. Limited tracking is rapidly giving way to more advanced methods that fully automate data collection and accessibility.
If you produce a product consisting of multiple sub-assemblies, you need a deeper level of traceability. For instance, if you make printed circuit boards that contain some critical semiconductor chips, you may want to trace which chips went on each board. In the event of a failure issue, you could go right to the source of the problem and avoid too much downtime.
When parts get placed into temporary or permanent packaging, it can be challenging to keep up with traceability. Pills going into a blister pack or semiconductor chips going into waffle packs can easily get mixed up if you don’t give special consideration to tracing each component as it gets packaged.
You know your operation and the requirements of your industry, so you probably already have a good feel for what you need. If you are unsure, here are a couple of factors to consider that may help you decide what level of traceability is right for you.
Consider the practicality of introducing serial numbers on the parts. Ask yourself if you have space for a printed barcode label? Can you print or laser scribe a barcode somewhere on the piece? Is there a chip on your assembly you could use to store the number electronically?
Setting up any system requires some initial work. Serial-level implementation is no exception, but like any other great system, once it is set up, it starts operating at virtually no cost.
Planning out how operators will interact with the new traceability system requirements is often the biggest hurdle. For example, it may take a little time for a worker to get in the habit of scanning a barcode, and it may even initially add a few seconds to the operation.
However, when you think the process through, you may be able to use the barcode scan to take care of several tasks at once. Each scan can perform operations such as pressing “enter” on the keyboard or displaying information on a chart.
Over a surprisingly short amount of time, the process begins to save steps in the process. In turn, a thoroughly integrated Traceability system provides invaluable real-time information about every aspect of your methods and materials. You can use this data to monitor continually and improve your production, and you can retrieve critical data instantly when a problem occurs.
The power of serial level traceability is simultaneously subtle and extreme. As data accumulates for every process in the production trail, the system starts to reveal previously hidden inefficiencies. Since authorized access to information is available through any internet connected device, the attention of the entire organization can focus on examining and improving every aspect of manufacturing. A web is created that connects all of the intricate moving parts – from weak supply chain links to inefficiencies in machine and operator – and enables cycles of learning on your line that were previously impossible.
With serialized traceability, getting RMAs are now a rare, easily solvable occurrence that usually leads to an immediate improvement in some area. Scanning the serial number calls up a complete history for the part and every component in it. Going deeper, you retrieve complete information for the specific components themselves.
If you find a problem with a particular group, you perform a "where used" analysis that shows you all products that contain the faulty component. You put a hold on any products containing the parts that are currently on the line and take corrective action. Likewise, integration with your ERP system allows you to do a "where shipped" analysis and address any parts that are already out in the field.
Serialized traceability pushes constant improvement. It allows you to avoid situations that start as minor problems and morph into financial disasters. When a problem like a product failure does occur, you can quickly track down the precise source and correct the problem. Keeping the information flowing between departments stops the tendency to cover up issues and creates more transparency and accountability throughout your organization.
Industry 4.0 refers to automation and data exchange that continues to redefine manufacturing processes. Cloud-stacking applications, IoT, cyber-physical systems, cognitive computing and other evolving technologies give operational managers a lot to digest.
Serialized Traceability is the essential first step to get your organization moving in the direction of the future. Contact Intraratio today, and let us help you decide what level of implementation will help get your organization leveraging current technology to your best advantage.
Gain insight on how Intraratio leverages real time data analytics, deep technical traceability and automation to dramatically improve your manufacturing operations.
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