The 14-Day Vehicle: Closing the Gap Between Showroom and Customization
In the U.S., the great majority of vehicles are sold straight off the lot, and you can drive away the same day. That’s the one-day vehicle.
Content type: Article
Machine Learning Improves Supply Chain Forecasts
Machine Learning has recently matured to the point that is very practical to use for Supply Chain Planning. The barriers for adoption are lowered to the point that the value proposition for even a small project will bring large gains.
The End of Manual Scenario Analysis to Planning
We are now in a digital era. Today supply chain planners are in a position to improve the overall operations of the supply chain more s
S&OP to Autonomous Planning Bridge
Many if not most companies who have implemented S&OP solutions have benefited from the long-term visibility that it provides. However, they are facing some real issues with executing the plans for the short term, whether it is today this week, this month or next 3 months. As indicated in a recent Oliver Wight paper, symptoms are many.
Don’t Use ML to Predict Manufacturing Cycle Times
Many S&OP vendors are now using Machine Learning (ML) in order to estimate manufacturing cycle times. In this paper we argue that in the presence of an accurate model of the supply chain (a digital Twin), there is no need for this and it can actually be a misleading exercise.
Managing Supply Chain Risk with Planning
There is risk in almost everything we do. It is unavoidable. Supply chains are no exception facing all kinds of unexpected but inevitable surprises that can be very costly to the company.
SCIM the Intelligent Supply Chain Machine
SCIM stands for Supply Chain Intelligent Machine. But what does “Intelligent” mean in this context?
Importance of Lot Release in Semiconductor Manufacturing
If I arrive on-time or early to the airport but there is a problem with the airplane and delay in the scheduled takeoff time, does it get me to my destination on time?
Self-Improving AI Supply Chain Technologies
Imagine a world where supply chain planning systems can mold themselves into their environment, adapt and improve as the business changes.
Stop Planning Semiconductor Chips Like Potato Chips!
It’s no surprise that the Semiconductor industry is very asset-intensive, with long leadtimes and expensive capital equipment.
