Lesson 3 of 3•AI for Capacity Planning0 of 3 complete (0%)
Bottleneck Identification & Theory of Constraints
20 min
What you will learn
- Apply the Theory of Constraints (TOC) five focusing steps using AI
- Use AI to identify bottlenecks from process data and throughput analysis
- Generate drum-buffer-rope scheduling recommendations
- Create constraint exploitation and elevation plans with ROI analysis
Theory of Constraints: Finding and Managing Your Bottleneck
The Theory of Constraints (TOC), developed by Eliyahu Goldratt in "The Goal," is built on a powerful insight: every system's output is limited by its single tightest constraint. Improving anything other than the constraint provides zero improvement to system throughput.
This seems obvious, yet most organizations spread improvement efforts across all resources equally — which means most improvement effort is wasted.
The Five Focusing Steps
TOC provides a systematic process:
- 1.IDENTIFY the constraint — What resource limits system throughput?
- 2.EXPLOIT the constraint — Maximize the constraint's output without spending money
- 3.SUBORDINATE everything else — Align all other resources to support the constraint
- 4.ELEVATE the constraint — If exploitation isn't enough, invest to increase constraint capacity
- 5.REPEAT — When the constraint moves (and it will), go back to step 1
Framework: Bottleneck Identification Prompt
Help me identify the bottleneck in the following process:Unlock this lesson
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What you'll learn:
- Apply the Theory of Constraints (TOC) five focusing steps using AI
- Use AI to identify bottlenecks from process data and throughput analysis
- Generate drum-buffer-rope scheduling recommendations