

This article is an excerpt from the Shortform book guide to "The Goal: A Process of Ongoing Improvement" by Eliyahu M. Goldratt. Shortform has the world's best summaries and analyses of books you should be reading.
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What is The Goal Theory of Constraints? How does it work and how can you apply it to improve output?
The Goal Theory of Constraints is the idea that your bottleneck is what determines your output. By focusing on your constraints, you can improve production.
Keep reading for more about The Goal Theory of Constraints and what it means.
What Is The Goal Theory of Constraints?
The critical concept in the book is identifying the bottleneck, or the key constraint that holds back throughput. This is also known as The Goal Theory of Constraints. While this sounds like common sense, it can be hard to objectively identify your own bottlenecks when you’re in the thick of work.
In manufacturing, a balanced plant tries to match the average capacity of every resource exactly with market demand. Any resource beyond the average rate is seen as extraneous, so it is either put to use or eliminated. This is the traditional mode of thinking at the protagonist’s company in The Goal.
However, in The Goal Theory of Constraints, two interconnected concepts make the balanced plant backfire, thus decreasing throughput, increasing inventory, and increasing carrying costs:
- Dependent events – one part of the chain depends on the upstream part.
- The speed of the downstream part is constrained by the upstream part – if the upstream part isn’t delivering, the downstream part can’t do any work.
- Statistical fluctuations – many factors cannot be predicted precisely
- Even at an average steady state rate, there are fluctuations in production. Someone may produce 2 widgets per minute on average, but at times he produces 2.5 and at times he produces 1.
- Larger events – machines may break down; workers many get sick; inclement weather may arrive.
Fluctuations happen regularly at each part in the chain. However, each downstream part can only catch up to the extent that the upstream part permits it to. Negative fluctuations bring down every later step of the chain; positive fluctuations are constrained by the next bottleneck. Over time, this causes a lower than expected average throughput.
The Goal Theory of Constraints With Manufacturing Flow Examples
Relationships between a bottleneck (X) and non-bottleneck (Y) can be summarized in the following 4 diagrams:
Y → X
- The non-bottleneck feeds to the bottleneck
- Y has excess capacity. Letting both X and Y run continuously will build up inventory in front of bottleneck X.
X → Y
- The bottleneck feeds the non-bottleneck.
- Y is starved for inventory to process and marches to the beat of X’s drum. This is totally fine, even if Y is idling at times. No inventory builds up in front of Y.

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