Brunello Menicucci

Most factories run at high utilization but still miss delivery dates. The problem isn't capacity — it's how work flows through the system. Here's what Simplified Drum-Buffer-Rope does differently

Managing multiple projects with shared resources is where traditional scheduling breaks down completely. Here's how Critical Chain Project Management solves the multi-project problem — and how to implement it in practice.

Between 1997 and 1998 I attended a series of courses on retail, store management and sales promotion at SDA Bocconi. Esselunga was the case study everyone used back then — the "Italian Sainsbury's," the chain nobody could really touch on customer focus. My family has been shopping

Why the same buffer mechanism worked for both a ticket queue and a CCPM drum resource, years apart — and what it reveals about letting Critical Thinking sit above any single discipline.

Most projects run late not because of bad teams, but because of a flawed method. Here's why Critical Path fails in practice — and what Critical Chain Project Management does differently.

Yesterday, I took my first step into the world of Nei Gong. The premise is deceptively simple: instead of building outward mass, you cultivate internal strength. You stop trying to "force" the body to grow and start allowing it to integrate. As I listened to the principles of

Project management is a complex set of tasks, resources, and deadlines. For decades, traditional project management methodologies, often rooted in PERT and Critical Path Method (CPM), have been the go-to. However, in the real world, projects frequently run late, go over budget, and fail to deliver on their promises.

Critical Chain Project Management (CCPM), an approach derived from the Theory of Constraints (TOC), is designed to deliver projects faster and more reliably by focusing on resource availability and managing uncertainty with project buffers. However, its effectiveness hinges on correct application. A five-minute read is all it takes to

The rise of Artificial Intelligence (AI) has sparked considerable debate across many industries, and project management is no exception. There's a prevailing discussion about AI's impact on how projects are planned, executed, and delivered. While some view AI as a potential disruptor that could replace human