Supply Chain Science
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Supply Chain Lectures, but why?
I would like to share some insights into my motivations, as a CEO, for undertaking such a series of supply chain lectures. It boils down to the four key challenges faced by Lokad.
Refresh everything every day
Lokad’s supply chain practice is to refresh all the data pipelines - forecasts included - at least once a day. Why is that?
Forecasting as a self-fulfilling prophecy
What are the importance of feedback loops and how do we use them in our forecasts
A manufacturer’s perspective
What solutions can Quantitative Supply Chain provide for large manufacturing companies?
Fall in love with the problem, not the solution
The most common strategy (tragedy) for software solutions remains replicating behavior that's essentially "human".
Humans in modern supply chains
"Machine should work; People should think." vs "Built for people not perfection". Two different visions.
A numerical take on DDMRP
How much novelty does "Demand Driven Material Requirements Planning" really bring to the table for supply chains?
Lean scalable processing for supply chains
Are large scale calculations through cloud computing worth the cost?
The limited applicability of backtesting
Backtesting is simple and elegant, but is it really a silver bullet?
Improving a forecasting technology
Learn more about how Lokad continues to deliver superior forms of supply chain optimization