search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
SPOTLIGHT Data Collection


The highly needed culture change in data collection


Mike John, Technical Director of metrology provider The Sempre Group, discusses why the manufacturing industry needs a cultural shift away from regulatory data collection and towards proactive, automated data analysis


A


ccording to software expert TechJury, each person on Earth created 1.7MB of data every second in 2020.


Thanks to smartphones and tablets, the volume of data collected has skyrocketed – so, will manufacturing benefit from something similar? British manufacturing is struggling to move away from manually inputting data into isolated documents, such as notebooks or Excel spreadsheets. Manual data collection from metrology equipment increases the risk of human error, makes it more difficult to data mine and creates data gaps, so the process is never fully traceable. The sluggish uptake of digital technology comes down to the common “understanding” behind data collection as being a box-ticking exercise, to remain compliant with industry regulations. Unfortunately, if businesses see data collection as regulatory red tape, it means they cannot reap the benefits an automated data collection system could bring, such as reduced waste, time and human error.


A solution


In many cases, manufacturers overlook their data-collection software, because it populates the reports required to show compliance – it ticks the PPAP box, for example. But, remaining competitive has never been about doing the bare minimum. Manufacturers can hugely benefit from improved traceability and more in-depth reporting, once they analyse data more closely and invest in a fully automated and unified system. For example: A 20-machine cell has a high volume and turnover of parts feeding into a small number of metrology machines, so quality testing is creating a bottleneck. The collected data is stored by the machines, then manually transferred to an Excel file, but staff are prone to typos and errors.


8 July/August 2022 | Automation


This means there is limited data on the thousands of components produced each day because they aren’t all being checked. There is no guarantee the collected data is accurate and it is tricky to cross-reference with data from other machines. When a product reaches a customer, the manufacturer can tell them the component was marked as “fully compliant” at the final stage of production, but nothing else. A customer complains about quality, but due to the limited data, the manufacturer cannot statistically confirm the claim, so must reimburse the customer and replace the part, as well as suffer the resultant drop in business reputation.


In addition, the manufacturer cannot analyse the manufacturing process to find the root cause for the fault, placing themselves at risk of this issue reoccurring. A fully-automated quality


testing system would assess the claim and recalibrate or proactively service the machinery to eradicate the problem.


Planning for the future


For British industry to compete on the global scale, businesses need to change their approach to data away from a compliance exercise and into a value- adding process. Now is the right time to invest in data collection, because businesses can take time to learn to use the data effectively, grow their capacity and thrive as demand continues to rise over the next few years. Those that do will leap ahead of the competition, into an Industry4.0-dominated world. Those that don’t will become the equivalent of today’s non-smartphone users.


CONTACT:


Cambashi www.cambashi.com


automationmagazine.co.uk


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64