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CPT International 02/2021

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Digitalization actually only becomes interesting from Step<br />

3onwards, when production processes obtain visualization<br />

capability via data analyzes –and, to be fair, every fifth SME<br />

is already at this level. Digitalization adds aholistic process<br />

understanding at Step 4. Companies can then capture a<br />

wealth of data at Step 5, when faults can be predicted and<br />

prevented before they occur. Step 6involves self-optimizing<br />

systems that could ultimately enable autonomous production<br />

in foundries.<br />

‘Unmanned’ autonomous processes appear attractive for<br />

reasons of cost but also creates unease: “The aim is to make<br />

better decisions quicker, and not establish autonomous production<br />

in the foundry,” stresses Prof. Dierk Hartmann from<br />

Kempten University of Applied Sciences in southern Germany,<br />

apioneer in research on digitalization in foundries. It<br />

is his clear opinion that ultimately aperson should always<br />

decide “whether to adjust ascrew or not”. An opinion that<br />

he voiced in an interview onthe state of digitalization-related<br />

research and development which appeared in May 2<strong>02</strong>1.<br />

All the same, initial applications of this type have been in<br />

operation in the industry for some time now, for example in<br />

the form of autonomous transport systems at the Smart<br />

Foundry in Hasloch; or avirtual assistant in the latest die-casting<br />

plants from Oskar Frech –which makes autonomous corrections<br />

of tolerance deviations during production or a<br />

warehouse whose ERP system enables ‘chaotic’ organization.<br />

These, however, are only individual aspects. There is not (yet)<br />

an algorithm that can autonomously carry out production as<br />

awhole. What do exist are noteworthy developments in the<br />

sector, and they show that the foundry industry is on the<br />

path towards digitalization and is already profiting from it.<br />

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The digital administration<br />

Thus, for example, automated administration is an early digitalization<br />

step with major effects. Christen Guss in Bergdietikon<br />

(in the Baden district of Aargau canton in Switzerland)<br />

already took this step several years ago: invoices are scanned,<br />

compared with customer data, and automatically booked.<br />

Accounting costs quickly halved, while balance sheets and<br />

income statements are now updated in real-time, massively<br />

improving the overview of business activities –regularly<br />

consulted by Elon Musk fan, Florian Christen, for advice. “We<br />

want to act, not react,” says the businessman. Christen therefore<br />

rates digitalization highly (CP+T reported on this in Issue<br />

4/2017, from p. 30). Automated administration is active all<br />

the way down to procurement.<br />

The use of probes at Karl Casper Guss in Remchingen<br />

makes the consumption of resin and sand so transparent that<br />

the ordering of auxiliary and operating materials is now largely<br />

automated. Customers also profit from minute-by-minute<br />

transparency regarding their orders. Customers sending<br />

regular delivery forecasts can obtain their castings just one<br />

day after making the actual order. Online presentations, e.g.<br />

by Florian Christen, are also being worked on –one day he<br />

wants to automatically offer potential customers an expected<br />

price when they upload their CAD data. Acloud-based<br />

raw materials platform developed by Profs. Hartmann and<br />

Gottschling (with Lohmann Guss, among others) already<br />

works somewhat similarly: the most reasonably priced offer<br />

is displayed on the basis of aso-called simplex algorithm.<br />

Profs. Gottschling and Hartmann have significantly shaped<br />

research into digitalization in the foundry industry. Prof.<br />

Gottschling teaches mathematics for engineers at the University<br />

of Duisburg-Essen.<br />

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