Basically if a part can only be produced by one or two parties there is too much risk of that source going away and disrupt everything else. This also applies all the way down the chain so if you got part A that can be made by 20 contractors but if all of those contractors depend on the same source then that part is also on the list of "stockpile this part enough to get over most disruptions"
We tried to order 100 and were told the lead time was 36 weeks. We got through it with existing stock, scrounging displays from dead boards. Buying different displays and replacing the backlights. Small orders of 10 here, 15 there. And pushing a few customers out a month or two.
1) https://www.ntotank.com/blog/resin-material-market-shortages... 2) https://www.wsj.com/articles/supply-chain-bottlenecks-drive-...
Instead you either stop/slow production or shove them in your products and hope for the best.
JIT, in Lean, does not mean no buffer, it means as little of a buffer as you can get away with. If you have issues with delivery like this on a regular basis, then you'd increase the buffer size (at least temporarily) and also take your suppliers to task for sending the wrong thing over and over.
The buffer size should be increased if any upstream supply issues exist that regularly cause a shortage. Ideally, you should address those issues themselves, but if you have and they can't (or won't) be fixed then you increase your buffer to accommodate reality. However, the shortage is itself a signal. Too high an inventory permits supply issues to persist without being addressed for a long time because you never get the signal about the issues with them (the downstream production slowdowns).
Yeah, spot on. One of my college professors used to compare it to a river with rocks in it. If you want to safely sail on the river, you can either a) keep the water level high enough or b) remove the rocks. In a production system inventories/buffers are the water level and variance is the rocks. The philosophy of JIT is to remove as much variance from your system as possible so you can lower your buffers. If you have identified areas of high variance you're forced to keep buffers until you've removed enough variance to lower your buffers.
Eh... I would argue that JIT means making that buffer someone else's problem.
I was doing EDI at a logistics firm that contracted with Seagate who provided HDDs to Hitachi for their SANs around 2006. Hitachi was doing JIT for their manufacturing, Seagate however was just speculating Hitachi's demand and literally stockpiled HDDs in this firms warehouses geolocated next to Hitachi's factories.
We would pickup stock from Seagate and ship it to these warehouses where they would remain Seagate's property until Hitachi requested it, then we would simply transfer ownership to Hitachi.
Interestingly, we used rail shipping as a buffer to reduce warehouse size by sending freight on slow/cheap/indirect routes.
If Hitachi couldn't consume your delivered HDDs as fast as they were delivered and anticipated any kind of delay/disruption could ever happen, they'd have some buffer of their own.
The logistics firm was the buffer allowing Seagate's product rate and Hitachi's consumption to be asymmetric in nature.
EDIT: What you describe sounds more like VMI, vendor managed inventory, than JIT. Both require half way reliable forecasts and collaborative planning so to worl properly. Have to agree so that both solutions tend to push inventory risk to suppliers. Done correctly, overall inventory does decrease so.
The interesting thing was that Seagate avoided managing inventory by outsourcing to the logistics firm. The stock was technically Seagate's until it was ordered by Hitachi but the logistics company took immediate possession as pallets rolled out of the factory.
> The last bit works, as long as the slow transportation is closely controlled.
It didn't need to be controlled, just scheduled. You knew you need x units by d. The factory output n per week, so you could stagger shipments by way of different lines.
All of the inventory was tracked by serial numbers and it was interesting to watch it move because supply was often delivered to the warehouse out of order or shipments weeks apart arrived simultaneously.
Toyota and a lot of the concepts that come out of Toyota are ideals to strive for. It doesn’t mean everything is like that, which is hard to understand from just reading the lean literature.
No they don't, automotive semiconductors suppliers have an "obligation" to manufacture the component for at least 15 years, which makes managing the production output planning, spare parts etc. much easier. It's not like walking into your supermarket and finding out that your favorite brand of chocolate is no longer available. There are minor exceptions, and sudden changes in the demand might affect the immediate availability, but at the very least the part is almost guaranteed to be produced for 15 years with defined notice policies. Microcontrollers don't have a pin-compatible drop in replacement when they get discounted, but many different ICs do, like power supplies, transistors etc., so discounting them is not a big deal.
e.g.: https://www.nxp.com/products/product-information/nxp-product...
> Participating products are available for a minimum of 10 years from product launch (15 years from product launch for many products developed for the automotive, telecom and medical segments), and are supported by standard end-of-life notification policies.
Think of each stage of the system, not just the components you bring in but also the partially assembled components you produce along the way as well as the finished product. US auto manufactures (in particular) had an operating method where they kept inventories high at all stages. This wasn't entirely deliberate. They weren't saying, "We need 5000 car doors just sitting here." They were, instead, saying, "We can't stop making doors just because everything else down the line is stopped due to <event> so keep churning them out and pile them up." The tail end inventory of "complete" vehicles were sitting there due, often, to quality issues (misaligned assemblies, missing parts, whatever the reason may be).
So inventory piles up everywhere along the chain, which also worked because there was a large turnaround period when retooling and equipment downtime (not always planned). Because Nobody Ever Gets Credit for Problems that Never Happened [0] there was an underinvestment in maintenance and improvement efforts. High inventory across the line papers over this issue. Lean discourages high inventory in order to make these issues apparent so that they can get the attention that they deserve. Also, rework is viewed as waste so quality issues should be addressed when they're discovered, not by assembling hundreds or thousands of vehicles incorrectly and then fixing them, fix the assembly line issues causing that misassembly.
[0] https://web.mit.edu/nelsonr/www/Repenning=Sterman_CMR_su01_....
And then multiply across everyone in a supply chain for a single product having to deal with waiting to receive giant parts orders from their vendors before they could start their own giant order to supply their customers.
It is smart to project to the world that just in time manufacturing is effective and then stockpile parts. This will get you ahead of competition if there is a problem like we experience now.