Bernard Milian

Supply chain solutions promise great results: N% times less out-of-stock, X% less inventory, Y% more service, Z% less stress. What do these figures actually mean for your company?

In the Demand Driven model, we use simple red/green/yellow color codes to monitor the health of our supply chain flows and inventories. So is the goal to get more green?

Safety stock may help prevent shortages. But overbuying inventory risks wasting your company’s capacities and materials.

To improve your supply chain, you have to start by visualizing its component work processes. Process mining can help.

If a supply chain transformation project reduces inventory by X%, how much money will it save? To answer the question, we must first understand our inventory carrying costs. Here’s how.

Your company’s operational efficiency depends on its ability to set smart supply chain priorities. Here are four tips for avoiding conflicts.

It often seems like supply chain executives are too busy trying to improve forecast accuracy to wonder: would it really change the game?

The supply chain world has developed powerful algorithms, but they are running on fuzzy data. What’s a manager to do?

Most manufacturers use Distribution Resource Planning, or DRP, to replenish global distribution networks. But DRP doesn’t always put stock in the right place — and makes it much harder to manage scarcity. Is there a better way?

The world is complicated. Your production order routings don’t have to be — even if you manufacture both to stock and to order and have dozens of workstations, operations, and floating bottlenecks. Here’s why.

Your supply chain management model must be adapted to the profile of your production flows. Learn more about the four most common typologies — and how to pace them to market demand.

An entire industry thrives on the quest for the holy grail of reliable forecasting. But what happens when we look more closely at probabilistic, statistical, and AI-driven forecasting methods?