Traditional supply chain planning approaches push all products through a common engine to produce time-phased output. The demand stream is analyzed for error and bias, but in traditional processes, companies do not see the patterns. Pattern identification is key to drive successful supply strategies. This is a missed opportunity in traditional approaches.
Let me start with why I selected a baby with ears for this post. I find that most companies’ understanding of supply chain planning is
I take supply chain management seriously. My focus is writing research for the business leader that is an early adopter attempting to drive first-mover advantage.
Can we redefine the work of a supply chain planner through GenAI? I think yes. Here we share use cases.
In this blog, we challenge traditional thinking to embrace supply chain planning to better manage a complex system that is growing in complexity. Here, I share insights on the Leverage Points in the Supply Chain as places to start. The blog builds from the Donella Meadows Project.
In this post, I explore the definition of supply chain excellence and the challenge of resilience.
In my writing, I try to get clear on definitions. The supply chain space is heavily laden with acronyms, gobbledygook, false narratives, and over-hyped, fast-talking
Seven pieces of advice for technologists making the current pivot for today’s technology.
How do we use technology to make better decisions? Gain insights? Craft and execute strategies? Why does it matter? These questions are top of mind
Thoughts on the application of artificial intelligence to supply chain planning.
