Issue link: https://iconnect007.uberflip.com/i/721932
September 2016 • SMT Magazine 49 er to identify. For example, machine "X" earlier in the line had stopped, which starved the de- livery of PCBs to subsequent machines "Y" and "Z." Working up the line, the computerization will find the source of the issue. Perhaps the earlier machine "X" stopped because of a ma- terial pickup error. The subsequent stop events downstream that happened as a result of this machine stopping for the material pickup error can now be assigned responsibility for the cor- rectly assigned stop-time. The OML-driven computerization can actu- ally go further. A material pickup error may oc- cur for many reason, such as: • Missing material in pocket on a reel • Material not correctly positioned in pocket • A feeder error occurred • Material was exhausted • An incorrect material was loaded, such as a different size • The material was exhausted, but the replacement material had not arrived • The material was exhausted, but the replacement material was incorrect, damaged, or had moisture sensitivity device (MSD) issues The responsibilities for each of these causes of the material pickup error are different, but now the issue can be qualified. The Smart com- puterization can look at the material verifica- tion operation to determine what happened at that point in time, at that materials position. In some cases, the machine or material opera- tor can interact, using a mobile device, with the computerization at the machine to add a quali- fication to the event. In this example, the issue was that the material had an MSD timeout. For the OML-based Smart computerization, putting together the events around the symp- toms reported from each of the machines is a relatively simple process. Using a data analytics tool to reconstruct these events over and over potentially billions of times to create a report would be completely ridiculous. But if the qual- ified data is put into the cloud, once the event has been fully explained by the computeriza- tion, the data analytics software becomes prac- tical and usable even with the huge amounts of data still required. The Smart computerization also can be used to extract more value. For example, local data storage of normalized and qualified events by the computerization is available, which also makes that data available for Smart systems, such as asset utilization and productivity re- porting. As many of us know, when it comes to per- formance reporting, the data can be looked at in many different ways, which allows many dif- ferent ways to measure performance, depend- ing on the specific point of view. In our exam- ple, we had machine "X" that was stopped for an MSD issue that then subsequently stopped other machines "Y" and "Z" further down the SMART FOR SMART'S SAKE, PART 1 Figure 1.