AdvancedManufacturing.org
also are coming from lean and agile mindsets and are used to thinking about how to improve their operations.” Manufacturing systems that are replicable with certain elements of randomness get the most value from being studied by simulation, he said. “Variation can come from human elements or a ma-
chine,” Cueva said. “Many companies using this are auto- makers. Sometimes we get into aerospace depending on what they are trying to fi gure out.” Aerospace uses simulation more for studying logistics and MRO facilities, he said. About half of the companies that bought FlexSim use it
to simulate completely new plants. The other half use it to study the impact of plant upgrades.
New and existing plants game “New plants are the most obvious use case, where you
can derive ideas and expectations of what you want a new plant to accomplish,” Cueva said. “However, it is useful in existing plants where customers cannot quite identify existing ineffi ciencies or bottlenecks. It even lends itself
toward job shops, trying to make the best use of the re- sources they have available.” Data sources are, of course, an important element of
any simulation. “Our simulation can drop CAD layouts of the facility
directly into it, using a variety of existing formats,” such as Autocad, STEP, or NX, he said. Today, it is much easier than it was even fi ve years
ago to collect data today from machines, IIoT, embedded sensors and other sources. Still, getting data and creating models are signifi cant challenges.
‘It takes too long to make models’ “Simulation, as much as it has been used, has suff ered from
time issues,” Cueva said. “It takes too long to make models.” In his experience, building and exercising a plant simula-
tion is often scheduled at the end of a development proj- ect, often to validate what has already been designed. “Look for our company to create less complex user
interfaces with more pre-built options in industry specifi c modules,” Cueva said.
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