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
SMART FACTORIES TIRE MANUFACTURING: HOW TO MAKE DIGITALISATION WORK


D


igitalisation is ubiquitous and is transforming manufacturing processes. But as for any other industrial investment: Improvements must be measurable. IDENTEC SOLUTIONS’ Asset Agent solution can sustainably improve production Key Performance Indicators (KPI) in manufacturing processes.


WHY DO WORKSHOP-TYPE OPERATIONS STILL RELY ON BARCODES, SCANNERS, PAPER AND PENCIL?


Digitalisation in production started with Programmable Logical Controllers (PLC’s) in 1969 and continued to increase the degree of automation ever since. The advantages of PLC’s over Connection Programmed Controllers (CPC’s) were so obvious that the investment into this modern technology seemed logical. Over time CPC’s got almost fully replaced by PLC’s. Digitalisation, in this case what is called the “Industrial Internet of Things” (IIoT) aims to replace barcodes and scanners as well as paper and pencil in manufacturing by making assets smart and connecting them to production control software. In short, the aim of IIoT is like the PLC revolution. So why is it that workshop-type operations still rely on barcodes and scanners and even paper and pencil more than 20 years after the


announcement of the IIoT by Kevin Ashton in 1999? The answer is simple: “Most IIoT approaches never delivered measurable improvements of production KPIs and suffered from low blue- collar user acceptance with simultaneously high monetary cost and engineering hours. The result of such an “investment” is easily predictable: After a long period of continuous frustration, management decides to give up on the project and reverts to status quo.” says Urban Siller, CEO of IDENTEC SOLUTIONS.


In order to reduce production cost in manufacturing processes, any IIoT-based solution must help to increase machine utilization, reduce scrap of raw materials, eliminate production errors of the final product and increase labour productivity. IIoT-based solutions generate running cost, require maintenance, and sometimes user training. If the IIoT solution suffers from availability issues, is not user-friendly and easy to use by production personnel, doesn’t handle exceptions well and generates too many process deviations, users are going to bypass it and revert to existing processes such as barcodes and scanners or paper and pencil. In this case the IIoT solution makes production KPIs look worse as it only costs additional money and doesn’t deliver any KPI


38 SEPTEMBER 2020 | FACTORY&HANDLINGSOLUTIONS


improvements at all.


Consequently, the approach to ask the IT department to “pick some hardware, program a few lines of code” and hand this custom “IIoT- solution” over to operations is certainly going to fail. Unfortunately, this approach is reality still too often.


WHY CHOOSING AN OFF-THE-SHELF- SOLUTION IS THE WAY FORWARD The way forward is to choose an off-the-shelf IIoT solution, which is tailored to the needs of tire manufacturing from hard- and software design as well as IT and user interfaces. The chosen solution must make your live easier being low in running cost, maintenance effort and ideally doesn’t require any training for blue-collar personnel at all.


“IDENTEC SOLUTIONS’ Asset Agent is a reliable and robust solution which always provides the accurate location of vehicles and assets”, explains Siller, “the solution is SAP ready, and makes your production process work even smoother. A visual management system allows for easy remote monitoring while avoiding production interruptions caused by human error. This tried and tested solution is used by some of the most important tire producers as well as by the automotive industry.


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