Read more articles
News
TOC or forecasting: TOC dynamic buffer management should drive day-to-day inventory decisions
Companies that already use demand forecasting often ask whether it can be used alongside inventory management based on TOC dynamic buffer management.
It can. The key is to define clearly what each method is responsible for.
How to move from “Excel + gut feeling” to TOC inventory management
For many wholesalers, distributors, and manufacturers, inventory planning sits somewhere between Excel files, ERP exports, supplier emails, and the experience of a few key people.
This makes a difference. The person buying or planning for a line of products that has been in the market for years will have an understanding of the suppliers, customers, seasonality, and common issues that goes beyond anything in a spreadsheet.
Why min-max usually doesn’t work? What practical challenges spreadsheets can’t see?
For most trading and manufacturing companies, min-max appears to be the best approach: set minimums, set maximums, and use either the system or spreadsheets to determine when to place an order. At first glance, everything seems straightforward. In practice, though, there is a common outcome – too much inventory as a whole, and frequent stock-outs for the products that really matter.
Buffer zones of TOC in practice: green, yellow, red
The green, yellow, and red buffer zones of TOC are a straightforward yet highly effective tool for understanding the current state of inventory and making daily decisions, free from excessive reporting. The buffer zones give clear indication about which areas of the company’s business performance are good, which ones are under risk, and which ones require urgent action. Here follows a structured analysis of buffer zones and their implications.
What is TOC inventory management, and what makes it unique from the classical min-max?
Walk into almost any wholesale or manufacturing business, and you hear the same complaints: “We are drowning in inventory, yet we still don’t have the right products when we need them.” Classic inventory methods, static min-max levels, forecast‑heavy planning, lots of Excel, were built for a more stable world. In today’s markets, they often generate the worst of both extremes: piles of slow‑moving stock and constant firefighting on key items.





