Hello, I am Moses Gummadi, and welcome to my KZread Channel on Operational Excellence.
I am passionate about educating people and helping businesses to create massive value for their customers, shareholders and employees, through superior operational performance.
My mission is to help you to deliver the best combination of customer outcomes, whilst maximising the value delivered (ROIC) for the shareholders.
My Expertise Includes:
◉ Operations Strategy, Operations Excellence Consulting
◉ Lean & Six Sigma Consulting & Training
◉ ROIC Modelling & Analysis (Linking Operations & Financials)
◉ Operations Simulation (Discrete Event, SIMUL8)
◉ Target Operating Model Design & Implementation
◉ Advanced Business Analytics (R, Azure ML, Power BI, Minitab, Excel)
◉ Managed Services Design, Transition, Operationalisation
◉ Shaping Change Programmes (Business, Process, IT)
◉ Developing Business Cases, Business Analysis
Пікірлер
very helpful
Hi Moses, I found it extremely insightful to understand all the variables and relations in a proper approach to inventory management process. It is invaluable a senior manager who didn’t get to work on S&OP within Supply Chain before. It would be great if you could share an Excel template and your R codebase as a demo tutorial for people to play with their own data. Thank you very much for sharing your experience and knowledge!
Hi Eugene. Thanks for your comment. As you can understand I am a consultant, and developing customised code for companies to solve various problems is one of my offerings. Happy to work with you if you have a problem to solve. I can make the code flexible enough for your org for ongoing use. Here's a case study, and my contacts are in that video description. kzread.info/dash/bejne/oJl5rpKgqrOagsY.html
Thank you Moses! Very nice information and useful.
Thnku
Thank you for the valuable information and great delivery/presentation !
Exelent explanation, Congratulation
Very nice 👍
if we did a free for all wed be done with it by now.
Very useful!
great presentation. thanks.
good job
This isn't accurate in the slightest. This assumes a 100% chance of infection on contact; which includes susceptibility factors. It also assumes infected people would be "out and about" with a 100% recovery rate. Videos like this add to the hysteria and fools people into a sense of being informed.
good job, can you share the source code please?
www.npmjs.com/package/geometric
Great Explanation!!!!!♥️♥️♥️sir!!♥️♥️♥️
In case 1 the virus gets eradicated quickly, in case 4 it’s prolonged and not eradicated and a case 1 can happen once quarantine is broken. It’s a longer quarantine the bigger the population right
Welll this graph is a little on the simpler side. Who knows how many of those sick people will die, and the cured ones re-infected
Another simulation kzread.info/dash/bejne/eYZhrrWKqq7gipM.html
Please allow others to add subtitle. It will be very nice to be able to add translations in every language and spread it to people who don't know English.
how do they suddenly recover
They recover after a certain time, say 2 weeks. Ideally a portion of them die, but this is not captured in the model
Everyone recovered!
Where are DEATH people?
Please name the simulation program
github.com/HarryStevens/geometric
@@OperationalExcellence Thank you, Mr.
can you simulate the dots to be more social? so they interact directly, it seems like they float around and just meet accidentally. then we could see the differences in those interactions with for example 5% of people not sticking to the rules of how to "interact" or don't interact compared to let's say 10%, 12% maybe the floating around thing in relation to the size of the room does the same thing but for a visual simulation i think it would be more accurate.
This was done by Harry Stevens. www.washingtonpost.com/graphics/2020/world/corona-simulator/ He used his geometric.js github.com/HarryStevens/geometric
Thank you so much for this clear visual understanding of what this deadly virus is all about!
When recovered person contacts sick it must be sick again lol. Poor maths.
Дмитрий Закрочинский not necessarily. A few might get sick again, not all, due to immunity buildup. This can be modelled using reinfection rate
Poor argument
I see, you weren't very attentive in biology class
So everyone gets sick anyway? And why are people that are sick still out with others? This graph is very flawed
Because it's a simulation of theories and the methods applied by goverments for flattening the curve of infected.
Not everyone gets sick in Case 3 and 4. Its a simplistic model intended to illustrate the effect of social distancing.
Awesome vidéo very intéressting. So the goal is to target and reach case 4 i believe for all
Very useful video. Thank you very much. Succes for you.
Excellent presentation for operational excellence.Very helpful.Thanks for your sharing!
Hi, which software are you using in this example?
Hi Jordan, this is done using SIMUL8. If you need to have a model built for you or consulting help improve operations, please get in touch at bit.ly/contactmoses
Great video title! You are covering, or referring to, a lot of concepts in one single video. Perhaps some of the concepts could be a topic for a "stand alone" video. I would also be interested in watching a video on the walk-through of a real-life (anonymized) case study.