Simulation for Electronics & Automotive
High Volume, Tight Coupling, No Room to Absorb a Stop
Automotive components and electronics assembly are the high-volume discrete case. Cycles are fast, many stations run in series, and takt times leave almost nothing spare. When a line runs to a takt and inventory between stations is kept low on purpose, a stoppage anywhere spreads right away in both directions, in a way averages can't describe.
Who has used it
Delphi Automotive Systems · Ericsson Wireless Communications · Lucent · Bosch · JTEKT · Hewlett-Packard · BICC General Cable
Lean removed the inventory, not the variability
Pulling inventory out of a line is good practice, but it doesn't make the line more reliable. The variability is still there, and now it spreads down the line instead of being absorbed.
Every lean program makes this trade, usually without putting a number on it. The question isn't whether to hold buffer but which form to hold it in (inventory, spare capacity or time). How big should a buffer be? works through why the buffer never really disappears.
What tends to be binding
Series length punishes good machines
85% OEE is a single-machine benchmark. Five machines at 85% in series with no buffering give a line near 44%, and an assembly line is far longer than five stations. The arithmetic is here.
Micro-stops, not breakdowns
On a tightly coupled line a stoppage measured in seconds never lets the small buffers refill, so its cost is carried all the time rather than now and then. It looks negligible on a loss report and is often the largest recoverable item on the line.
Mix and sequence
Model mix changes station-level work content, so the constraint moves with the build sequence. A line balanced for one mix is unbalanced for another. The balance is only true on average, and the line is never actually running at the average.
Supplier and inbound variability
On a machine report, a station starved by a late delivery looks the same as a station that broke. The cause is outside the plant, and only a model that represents both can assign it correctly.
All of these lead to the same misreading. The loss report ranks by minutes lost, the line funds the top of that list, and the throughput doesn't show up. What you want ranked is recoverable throughput. On a tightly coupled line the two rankings differ even more.
The same mechanisms, documented
$1.5M in hidden throughput
Two failure modes with near-identical downtime on the loss report. Fixing the bigger one returns less than it costs. The smaller one returns 62% more because it cascades into the stations downstream.
Read the case study → PropagationStarved vs blocked
Both look like a stopped machine, but they have opposite causes. On a takted line the machine you're looking at usually isn't the one with the problem.
Read the guide → Automotive Logistics“What’s coming at me, and when will it get here?”
A new-vehicle rail and truck network simulated from where every vehicle actually is. One set of recommendations saves $21.7M in carrying costs and cuts transit time 19%.
Vehicle-logistics company · published paper → ElectronicsSizing capacity before you know the peak
Component capacity has to be committed overseas, months ahead, for a product with a two-year life. A model prices being wrong in either direction before the money is spent.
Read the case study →A free line assessment, this fall
Bring one question about your line. We model it on your own data and send back a two-page readout in about five business days.
Apply for a free line assessment →Or explore the Sandbox first, with no sign-up.