In this episode, Marc Giombetti and Yashar Ahmadov explain simulation and its importance in supply chain management. Simulation provides value for what-if analysis and allows for accuracy of over 90% and changes can be made to factors like equipment or supply chain redesign. The novelty in simulation is its complexity and its ability to be stochastic. AI can help accelerate the development of simulations and can be integrated with outside applications like optimization algorithms. Eventually, AI models may be able to decipher ambiguous requirements and build solutions. Reinforcement learning can also help simulations learn from past mistakes and adjust behavior for better decision-making.
💡 Simulation provides value for what-if analysis and allows for accuracy of over 90%.
💡 AI can help accelerate the development of simulations and can be integrated with outside applications like optimization algorithms.
💡 Reinforcement learning can also help simulations learn from past mistakes and adjust behavior for better decision-making.
I think this article is super helpful! The way simulation is explained makes it seem so important for supply chain. I never knew AI could be integrated like that, it’s really fascinating and exciting!
Honestly, this whole idea of simulation sounds too complicated and unnecessary. Why do we need all this when we can just use good old fashioned methods? This seems like overengineering to me.
I totally agree! All this talk about AI and stochastic processes is just a way to confuse people who are not in the field. Sometimes simpler is better, don’t you think?
But isn’t it great to explore new technologies? Sure, it may seem complex, but what if it actually helps businesses run better? We can’t dismiss innovation just because it’s hard to understand.
The post provides some neat insights into the world of simulation. However, I wish it went deeper into real-world applications. Knowing how this works in practice could help more people understand its value.
‘Real-world applications’? Come on! If we wait for everything to be proven in reality before adopting it, we’d still be using quills instead of pens! Embracing the unknown is essential!
‘What-if analysis’? Sounds like a fancy term for guesswork! You can’t just simulate every scenario and expect perfect outcomes; real life is messier than any model can capture.
‘Guesswork’ or not, at least it’s an attempt to predict outcomes based on data rather than haphazard decisions! Simulation might not be perfect but it’s certainly better than flying blind.
‘Flying blind’? Haha, maybe that’s what all those companies have been doing before simulations came along! A little humor wouldn’t hurt though; sometimes they just need a good laugh at their own expense!
I think this article is a game-changer! The way Marc and Yashar explain simulation makes it sound so easy to implement in supply chains. It’s like a breath of fresh air for businesses looking to optimize.
But how can we trust those accuracy figures? I feel like they are just marketing buzzwords. We need real-world examples to back up these claims before jumping on the bandwagon.
You really think it’s that simple? There’s a lot of complexity involved, and not every business can just implement AI overnight. We need to consider the challenges too.
This post is truely enlightening! I never realized how important simulations are in supply chain management. It makes sense that AI can enhance the process further; innovation is key in today’s market!
‘Important’? More like overhyped! Not everything needs simulation; some things are better left simple, or we’ll end up complicating processes unnecessarily!
‘Stochastic’? Sounds fancy but what does it even mean for small businesses? They won’t have the resources to implement such advanced tech anytime soon!
‘What-if analysis’? Haha, sounds like playing a guessing game! If only business decisions were as easy as flipping a coin! Simulations might be useful but let’s not pretend they’re foolproof.
‘Foolproof’? Please, nothing is foolproof in business! This post is just feeding into the trend of over-relying on tech solutions without acknowledging human judgement!
!Wow, simulations for supply chains?! Next thing you know, we will have robots running our kitchens too! I mean come on, are we really ready for all this AI stuff?
‘Reinforcement learning’? Sounds like a school detention for robots! Haha! But seriously, if AI can learn from mistakes like humans do, maybe there’s hope for all of us in the future!
…let’s not forget that humans are still responsible for overseeing this learning process. Otherwise, we’d all be in trouble!
…or maybe they’ll just learn to make even bigger mistakes and take us down with them! LOL! Who knows what they’re planning behind our backs?
This post provides good insights into simulations but misses on some real-life applications. How often do companies truly utilize these methods? More examples would have made this post more relatable.
…or maybe it’s just that people don’t understand how to apply them correctly! It’s not the simulation that’s the problem, it’s the users who need more training.
I find it amusing that people think simulation can solve everything; sometimes you just need common sense instead of overcomplicated algorithms… life isn’t always about numbers!
Honestly, I think the whole concept of simulation is overrated. Just because it sounds fancy doesn’t mean it’s effective in real world situations. I doubt it can really handle complex supply chain issues.
I totally disagree! Simulation has proven itself in many cases, and with AI joining the party, we’re just scratching the surface of its potential. You gotta open your mind a little!
You know what? Simulation might be good but if people don’t understand how to use it properly then what’s point? Education needs catch up with tech advancements too!
Great points made about simmulation and its role in supply chain! But let’s not forget that no tool is perfect; there always will be limitations that we must consider during implementation.
I feel like this whole thing is so overhyped! Sure AI helps but at end of day human judgement still matters right? Or are we all gonna let machines run our lives now?
Exactly!! Next thing you know we’ll have robots deciding what food to eat too… Yikes!
You’re spot on there Astrid! Machines can assist us but they ain’t perfect so we should never fully rely on them without our own critical thinking!
‘Stochastic’ sounds like a word that only scientists use! Can we just make it simpler for us regular folks? Not everyone understands these technical terms, makes it hard to follow along.