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Multi Components ist Ihr Partner bei Beratung Installation Schulung & Service Multi Components GmbH 91126 Schwabach Germany Tel +49 0 9122 9302-0 info@multicomponents de https multicomponents de Elektronik-Kompetenz aus einer Hand Hanwha Bestückungsmodule ESE Schablonendrucker TRI Automatische SMT Inspektionsmodule IBL Premium Dampfphasen Lötanlagen SMIC Innovatives Lötmaterial Etit Projekt-Kalkulationssoftware Genauigkeit bis 10 µm 2000XQ Taktzeit 7 Sekunden Genauigkeit bis 12 5 µm 7000X Taktzeit 10 Sekunden LP bis 1500 mm Länge LX5 Large board LED ESE Schablonendrucker multicomponents-ESE_230x74-MT18 pdf S 1 Format 230 00 x 74 00 mm 04 Mar 2020 15 37 45 Anzeige Kaiser We think that you have to view a company in different strata At the manufacturing level an MES can certainly be a good management and control tool well connected to data sources stemming from different elements within the company such as ERP BOM management or even external component libraries Lybaek But of course a smart factory goes even further by connecting the entire supply chain to the upstream and downstream markets via EDI APIs etc For GPV it is like a relaunch of activities inherited from the companys historical direction and in this context there is a strong requirement to harmonize best practice methods based on years of experience in many digital areas As has often been said digitization is nothing new for the EMS industry and is implemented almost everywhere to a certain extent albeit in fragmented areas For GPV it is a great opportunity to bring together the best elements and further strengthen our capabilities in terms of process reliability and rapid response Is an MES adequate to fully meet the requirements of digitization or do you see a future also in the introduction of Edge and Cloud computing? Lybaek An MES is a good basis for generating data creating standard reports and for networking of shopfloor machinery but a natural extension would be Big Data technology to create Data Lakes within our digital ecosystem Kaiser These data are used both for internal production optimization as well as for sharing benchmarks between sites for example is one particular component better than another and can we offer our customers additional services generated by analyzing large amounts of data? As a next step we are considering machine learning and AI technology to capture the data we generate more efficiently and thus create additional value for our customers Are you already using artificial intelligence tools in manufacturing purchasing and logistics? Lybaek We are taking a stepbystep but broad approach and currently investigating not only the possibilities for purchasing logistics and production but also much more complex processes such as demand planning as well as certain administrative processes What role will digitization play in the supply chain of the future? Kaiser From the supply chain perspective digitization basically means connecting all relevant partners in real time It will increase dynamics and certainly accelerate demand fulfillment But that still leaves the question of our dependence on supplies from China and the remaining raw material resources In the short term it will connect the entire supply chain via APIs thereby accelerating data exchange and reducing the error rate for manual entries This will have an impact not only on the commercial side but also and this is much more advanced on the technical side within NPI and design and engineering Lybaek Over the longer term as more of the supply chain becomes networked fewer sales steps will be required within it As a result the supply chain can be shortened and access to technology and product innovation will shorten the overall product development time Looking at the ecosystem scenario in the long term it could evolve into a selfregulating supply chain for dedicated market needs within such systems Bilder GPV