analytics
Mea Culpa
Reflection and restatement of formerly held beliefs of supply chain management by Lora Cecere.
May 10, 2024
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Reflection and restatement of formerly held beliefs of supply chain management by Lora Cecere.
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
The supply network–shipments and production of trading partners–represents over 70% of the environmental impact of supply chain decisions. Despite the importance, the investment in networks
When teams say that they want to move to outside-in processes using the crawl, walk, run approach, I say not so fast! The shift is a step change not an evolution. Here I share how to jump into the new paradigm.
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.
Like a secretarial typing pool, the definition of work for a supply chain planning is ripe for rethinking work. The redefinition cannot be crawl, walk and run. Instead, companies need to just JUMP!
On Friday, I presented an overview of outside-in planning to a consulting group. I love the questions when I present. The reason? The dialogue helps
Can we redefine the work of a supply chain planner through GenAI? I think yes. Here we share use cases.
On February 2, in a small town in Punxsutawney, Pennsylvania on Gobbler’s Knob, an unsuspecting furry Groundhog is plucked from a burrow to predict the