Timeline for What's the current status of the Vehicle Routing Problem in the logistics industry?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 16, 2019 at 11:36 | comment | added | Nikos Kazazakis | My answer is based on experience - I know people who work on this in some of the large companies and we've done some consulting work on this. Asia specifically has numerous densely populated metropolitan centres with some of the largest traffic problems in the world, which makes the predictive power of conventional modelling quite limited. | |
| Dec 15, 2019 at 23:21 | vote | accept | Alexander Soare | ||
| Dec 15, 2019 at 12:28 | comment | added | Alexander Soare | @RolfvanLieshout while I agree explanations are always handy, I'm also wondering about the explanation behind your reasoning. You're very welcome to leave an answer in the main thread as well! | |
| Dec 15, 2019 at 9:53 | comment | added | Rolf van Lieshout | Could you please explain where you based your answer on? Experience in the logistics industry, academic sources etc. I especially doubt the claim that heuristics, machine learning and offline optimisation are more often used in Africa and Asia compared to Europe and North America.. | |
| Dec 14, 2019 at 21:04 | comment | added | Nikos Kazazakis | In my opinion, definitely. The thing with new capabilities in computing is that the more our computing capacity increases, the more complexity we introduce into our calculations. Assuming quantum computing reaches the point where such algorithms can be coded, I would expect companies to start modelling much more complicated systems. My experience has been that it takes a lot of work to get people to adopt new technology, but once they do they never go back. | |
| Dec 14, 2019 at 20:59 | comment | added | Alexander Soare | Great. Will wait a little more before marking as answered. Do you think that in warehouse logistics (I'm talking bots zooming around to move stuff around in a warehouse) optimisation is the bottleneck instead of data quality? In either case, the reason I asked this question is because I was trying to assess if quantum computation may add value to the industry in the next 10 years. For that, I need to understand how much demand there is for an improvement in optimisation algorithms, whether classical computing can keep up with that demand, and if not, what the bottlenecks are there. | |
| Dec 14, 2019 at 20:18 | history | answered | Nikos Kazazakis | CC BY-SA 4.0 |