Education is the lifeline for supply chain talent, but is it working? Are we doing a good job of training the next generation of supply
Supply chain is where the rubber hits the road. For a public company, over 40% of market capitalization is tied to the trade-offs between growth, operating margin, inventory management, and Return on Capital Employed.
The road for supply chain improvement is fraught with issues. Here we share some and offer some advice.
When it comes to combining tech, 1+1+1 should equal more than 1. The impact should be exponential. Unfortunately, today, the answer is 0.
What do I mean? Let me explain.
I find that the supply chain technology market moves slowly along traditional technology lines. Conferences are usually focused on the use of technology, not on redefining work. This bothers me. I want it to bother you as well.
Here I share some insights to drive change.
This post aims to shed light on a dark, automated world where supply chain leaders believe they have answers and are busy automating outdated processes but not driving value.
The industry need state requires the redefinition of the current taxonomy of planning based on first principles. This is in conflict with the current thrust to automate existing platforms using agents.
Technology can change or even improve work. Companies today making a fundamental mistake: they are attempting to automate current processes with AI versus challenging and
Shifting sands. War. Tariffs. Shortages. Price increases. Ocean booking cancellations. Tightening of pocketbooks: changing demand patterns. Decline in consumer confidence. All are unsettling. Companies are
Thirteen years. 600 posts. Where does time go? For over a decade, since founding Supply Chain Insights in 2012, I have pounded the keyboard, asking
Today’s supply chains focus on cost reduction with the assumption that the reduction in cost will translate to margin. This is not the case.
The lack of organizational degrades value.
Do these dogs hunt is a blog challenging the validity of the concepts of autonomous planning, probabilistic planning and the use of artificial planning in planning systems.
