Supply Chain Science
Back to the blog ›
Tidbits of supply chain terminology
The emergence of a terminology is, at best, a haphazard process. Supply chain is no exception and, in hindsight, a sizeable portion of supply chain terminology is inadequate. Confusing terminology hurts newcomers and seasoned practitioners alike. Newcomers struggle more than they should with accidental complexity. Practitioners may not realize that the premise of their field ismore shaky than it appears.
How many SKUs should a demand planner manage?
Lokad employs a team of around 30 supply chain scientists. The scientist is responsible for the data pipeline, the forecasts, the economic modelling and the end-game decisions. But how many SKUs do they manage?
Supply Chain Story: The Bullwhip Job
My first professional supply chain experience happened back in 2004. At the time, I was a computer science student at the Ecole Normale Supérieure (ENS), a university in Paris. My interests covered a wide range of wholly theoretical subjects, yet, I was also intrigued by the idea of testing out those theories in the wild.
The Adventures of Captain Obvious in Supply Chain
Captain Obvious has been working overtime in supply chain. His natural leadership has inspired many who are now following the same path. Yet, underneath the uniform, there is little to be found but a great deal of confusion.
42 tricks to achieve Supply Chain greatness
Many domains are complex, irredemiably so, and supply chain is certainly one of them. So what could an itemized list of tricks help you to achieve?
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?