 All right welcome back everyone hopefully you had a good breakout session and what I would like for you to do now is to use the chat function and answer the question and just remind you where you want you to give an example of where a company or an organization that you were part of or you read about or heard about where they were faced with complexity and either one found ways to reduce their mitigate that or two found ways to embrace it and the embracing ones are the ones I really want to get those examples because they're harder to find to be honest and so that's what we're looking for on while you're typing those in let me just answer some questions that have come in here I'm gonna not pronounce this name correctly pair a measure on fire asked if we can expect any coverage of blockchain or internet of things IOT in future courses and the answer that is yes we cover those in SC4X we keep a lesson open there to always talk about new technologies and blockchain is certainly moving up the the channel IOT is an interesting one to the internet of things the whole idea where you connect because what we're seeing that actually really asked the complexity because if you look at that the drivers that we talked about and so you look at all the devices that can be connected on the internet of things that sheer number of devices is going to make the complexity go through the roof the variety of things as well and the other thing at the aspect of it the data is really freeform when when companies communicate with each other we'll talk about this in SC4X their standards usually for communications for placing an order for moving a shipment there's EDI or some kind of transaction sets that really dictate exactly what the information is being exchanged in a very structured way IOT is typically very freeform and unstructured so anytime you have unstructured data that makes it even more complicated so we'll talk more about internet of things blockchain autonomous vehicles drones all that kind of cool stuff in SC4X not so much in this course and then I'm sorry I said but it's still cool and a tool I don't have a last name also commented that thinking that fireworks should be banned my dog would certainly my dogs would certainly vote for that they are not big 4th of July fans at all and then we had another question from Salil Kumar about when we talk about emissions in logistics and how that's handled and I'll let you talk about that Alexis yeah so thinking about emissions with logistics will be in week 10 talking about regulation and social corporate social responsibility and all the factors that go along with that so we have we'll be talking about a couple of forces that are being impacted on the supply chain that affects supply chain dynamics and that includes both regulations such as different regulatory bodies in different parts of the world that control emissions for example the Air Resources Board in different states in the United States there's a similar type body in Europe and especially in the UK that actually controls the amount of emissions that can be released and in what quantity as well as sort of the other side of that which could be the sort of industry and societal pressure to actually make your logistics more environmentally friendly more more optimized to reduce the environmental impact so we'll look at these different factors on why and how logistics companies are changing their practices whether that be actually upgrading the trucks or optimizing their routes or having different practices with the drivers you know one of the great examples we've had or we jokingly tells UPS as a policy no left turns in the United States when you go to turn left you're actually idling because it's you can't actually go on a red light but you in some places you can actually turn on a red light so it reduces the amount of idling so they like to claim that's an environmental impact so it reduces the invite idling as well as the emissions but actually it's also an efficiency so we'll be discussing some of that in week 10 so certainly we'll also possibly have some links that you can kind of look a little deeper into emissions control for logistics so that will be discussed then I had one other comment just from Robin basically saying that reuse of materials in products is not new I totally agree with that it's been done for years and largely for for cost and control measures so not necessarily at all environmentally is Xerox has been doing it with their copy machine for years airplanes the auto industry they're actually famous re-users there are some of the most efficient user re-users of remanufactured materials actually because of the cost of the materials so this is we're actually talking in the in our little breakout about actually you know milk jugs for years ago you know it was actually more cost-efficient at one point in time to recollect those and you reuse them again as opposed to actually making new glass bottles and so now that's not necessarily the case but we're seeing a shift in some of the recollection processes so that was some of the questions we had and I think we have a few more comments Chris do you want to look at one and then you can take the next one so let me one that came out what's funny is everyone thinks a lot of people think Amazon is the only one doing anything innovative it's just funny how these examples come out but James N1117 mentioned in their group that Amazon they're able to do it in part three using warehouses in a lean manner where they handle both high velocity as well as drop shipping from vendors so the idea there and actually they're not alone in this but it's kind of an innovation so instead of having a specialized DC that can only handle it's optimized for one type of of use they're able to handle multiple things so they can use it as a fulfillment center as well as drop shipping and that being able to have that flexibility to handle wide variety is something that not every company can do and so that by doing that they're kind of embracing the different size of shipments and different capabilities within one facility so that's a good example Alexis you want to pick one yeah yeah so I'll leave Jason for you but I'll take Trellis Delta so thinking about embracing complexity it's a great example she mentioned or they mentioned 23andMe so that's actually the the DNA swab that you can you know put in your mouth or whatever kind of approach then they send it back and your whole kind of family tree is fleshed out and exactly where you're from and so I think that this isn't a case where it's been complexity has been embraced as they said where as opposed to a sort of a standard product each one is unique and this is actually you know sort of a complex system of taking it back and actually reprocessing processing those and identifying identifying those kind of unique information for that that person so that was an interesting case of actually embracing the complexity because each each actual report is going to be unique so here's one from Parameshawan and mentioned one thing about Amazon again but a variety payment methods and this is something that Jim and Jared talked about where you have different payment methods whether it's cash on delivery or courier options and you can handle different things one if you're a buyer like a retailer and you can handle different payment terms in your system you can offer that to different vendors you might be able to offer more more breadth as opposed to if you only have one type so this actually gets into segmentation and so we talk about that because that's one approach to combat complexity is your segment things and you see where there where there's a lot of variety you segment that into one group and you handle it separately that's why when SC1x we stress this a lot that you don't have one supply chain you have multiple supply chains and we did the simple segmentation ABC right so you have your fast movers your very few large movers and your very many small movers those are your C items and the Bs are ones in between it's the same concept another one they give is the in and out burgers which I think that what that mean where they have very simple ingredients but the interesting thing about an in-and-out burger have you been to an in-and-out burger other Alexis you have in and out by you right yeah it's big and huge in California yeah they don't have on the East Coast but the thing is they have certain ones but then there's like a secret menu there's the off-the-menu orders right where you order something and they know what it is like a jungle burger or whatever it's not listed but it means something so yeah that introduces its whole level of complexity where you have skews but then you have partial skews so restaurants are always a little tricky because as opposed to a strict bill of materials like we talked about in SC 2x where you have a strict BOM and the strict ingredients to make something in restaurants you make it a little bit different and that raises a whole bunch of complexity on ordering because the same end item that's sold say a burrito might have very different bills of material because of the way that that preparer wants it or some different style difference and so it's it raises a lot of issues with inventory ordering let's do I pick one we got time for two more you pick one then I'll pick one all right well I'll look at Jason so he brought up the the fact that the growth of artificial intelligence AI so this is sort of interesting because we've we've sort of by the fact that supply chains have been so complex and trying to grapple with you know I can hundreds of thousands of suppliers millions of customers how do we even start to tackle some of the issues embedded in this and some would say you know the the correct approach would be to simplify reduce your supplier base think you know reduce your products that might be one way to reduce complexity others would be to start to think about how we can use artificial artificial intelligence actually it deal with the complexity so I something that Chris was alluding to in in se4x was we'll be talking about I know that he mentioned IBM's Watson I know that they've been looking also into blockchain into how to actually deal with the complexity and transparency and traceability of our products so that we can actually have a shared database of information without having any ownership by any single company so that you can actually look and see what is happening upstream as well as the fact that you know artificial intelligence can start learning in machine learning to actually kind of predict when there might be issues or problems I don't know if you have something else to add to that one Chris no I think you covered that pretty well the last one I want to do is from Prajit the dengadi Prajit anyway and he wrote here she wrote an example of embracing complexity is a luxury fashion dress and accessories brand company and typically the company conducts major fashion shows worldwide the parts are showcased in the fashion show were available to be ordered after a few weeks they change this they did major changes in the production storage distribution ordering and IT systems to ensure that on the same day of the fashion show people who watch the show can order the items that they liked immediately and products to be delivered in a few days time and this is a lot of complexity in that and I think this is Zara right this sounds like Zara and so Zara is really upset the fashion industry because it's right it used to be a trickle down you know you do something in where's the big fashion shows I'm not the guy to ask Paris New York Paris New York and isn't there something Italy where they call in Milan or something whatever and so they show something and then it trickles down and eventually within like a couple years you see it at the Walmart right and so it starts getting changed and so what Zara did is they went for fast fashion is what they call and so it's lower price and instead of having it produced at a low cost production in the Pacific Rim typically China's where most apparel is manufactured they use small shops throughout southern Europe throughout Spain predominantly where they can get the design immediately send it down and have things send up almost same day there's a lot of cases there but they have a very fast cycle time the other interesting thing about Zara just to give you a different taste of it is that they they actually don't care if they stock out they kind of go off the idea of being scarce is actually valuable so instead of making sure you never run out to in the supply chains we always think of it that way you when you inventory level to never run out or be 95% cycle service level all these statistics Zara said you know what if you come into my store and you see a dress or something that you like you better buy it because next time you come it might not be here and so it it preys on a very different mentality so it's very interesting a different approach and again that adds more complexity great examples here any any ones do you want to end with we've got about a minute left Alexis I'll let you wrap it up and talk about one more example or just wrap up the hangouts a great hangout event thanks yeah this is great so we there are a couple examples that some monastay and Jason actually no not Jason another now I can't remember who actually brought it up but that they're actually sort of replacement products is a extreme problem so example you know with the with the different major products where a singular place product needs to actually be replaced this actually builds in a lot of complexity but if you can have sort of a provider in between provider that actually have those parts as opposed to actually having to go back to the original manufacturer is actually one kind of way to mitigate some of those complexity so it's certainly you know a major whether it be a cell tower or a or a windmill or these major kind of operations that have many replacement parts and actually might go you know outside warranty or might actually expire there's different kind of ways to address that whether they're sort of you know algorithms to assess whether that is going to be going out and actually providing the the sort of middlemen with the opportunity to replace those products or being able to actually you know kind of identify that so certainly a lot of complexity there and different ways to kind of mitigate that complexity so those are great examples so I just want to thank you for joining us today we really enjoyed it and we're so glad you guys could come and hang out with us we if you want to do it next time we're going to have a couple more please become a verified soon because next time we will have to close it just for verified students so you know check out check out my past emails and there'll be a link in there you know it's all over the website but we'll definitely you know look forward whether you're auto verified we're happy to have you in the course and hope that you enjoy supply chain dynamics and and we'll be you know we'll be in touch with you soon thanks bye bye