GlossaryProcess OptimizationBeginner

Bottleneck

The workstation or process step with the lowest capacity in a production system, which limits the throughput of the entire line.

A bottleneck is the process step or workstation in a manufacturing system that has the lowest throughput capacity, effectively setting the maximum output rate for the entire production line. Like the narrowest section of a bottle limiting how fast liquid pours out, a production bottleneck limits how fast products can flow through the factory. Every manufacturing system has at least one bottleneck — if you eliminate the current bottleneck, another step becomes the new constraint. Understanding where your bottleneck is, why it is the bottleneck, and how to manage it effectively is one of the highest-leverage activities in production management. The Theory of Constraints (TOC), developed by Eliyahu Goldratt, provides a systematic framework for bottleneck management that has helped thousands of manufacturers increase throughput by 20–50% without major capital investment.

Identifying Bottlenecks

Bottlenecks reveal themselves through several observable symptoms on the factory floor. The most obvious indicator is WIP accumulation: inventory piles up in front of the bottleneck workstation because upstream processes produce faster than the bottleneck can consume. Another sign is high utilization: the bottleneck machine or operator is always busy, with no idle time between jobs. Downstream starvation occurs when workstations after the bottleneck frequently wait for work because the bottleneck cannot feed them fast enough. Delivery delays often trace back to bottleneck overloads. To confirm which step is the bottleneck, compare the cycle time or throughput rate of each workstation — the one with the longest cycle time (lowest throughput rate) is the constraint. Note that bottlenecks can shift: a machine that is the bottleneck for Product A may not be the bottleneck for Product B. In mixed-model production, analyze the bottleneck by product mix, not just individual product. LinePlanner's visual scheduling makes bottlenecks apparent when certain production lines consistently show over-capacity loading.

The Five Focusing Steps (Theory of Constraints)

Goldratt's Theory of Constraints provides a five-step process for managing bottlenecks. Step 1: Identify the constraint — determine which resource limits system throughput. Step 2: Exploit the constraint — ensure the bottleneck is always running productive work with zero wasted time (no unnecessary changeovers, no idle time during breaks, no quality rework). Step 3: Subordinate everything else to the constraint — schedule non-bottleneck operations to serve the bottleneck's needs rather than optimizing local efficiencies. Step 4: Elevate the constraint — if exploitation and subordination are not enough, invest to increase the bottleneck's capacity (add a machine, add a shift, outsource bottleneck work). Step 5: Repeat — once the current bottleneck is resolved, identify the new constraint and begin again. Most manufacturers find that Step 2 (exploitation) alone yields significant improvement, because bottleneck utilization is typically only 60–70% of theoretical capacity due to changeovers, waiting, breakdowns, and producing defects.

Scheduling Around Bottlenecks

Production scheduling strategy should revolve around the bottleneck. The key principle is Drum-Buffer-Rope (DBR) scheduling from TOC: the bottleneck sets the production pace (drum), a time buffer protects the bottleneck from upstream delays, and a rope mechanism controls material release to prevent WIP buildup. In practice, this means scheduling the bottleneck first — ensuring it has a full, optimized sequence with minimized changeovers — and then scheduling all other operations to support the bottleneck's sequence. Non-bottleneck operations intentionally have excess capacity and should not be scheduled to 100% utilization, because they need slack to recover from variability without delaying work to the bottleneck. LinePlanner enables bottleneck-focused scheduling by allowing planners to identify critical production lines and prioritize their scheduling, then fitting supporting operations around the bottleneck sequence.

Frequently Asked Questions

Can a factory have multiple bottlenecks?

A factory has one primary bottleneck that limits overall throughput, but secondary constraints may appear when the product mix changes or demand shifts. Interactive bottlenecks (where two resources alternately constrain each other) also occur in complex routing environments.

How is the Theory of Constraints different from lean?

Lean focuses on eliminating waste throughout the entire system. TOC focuses on maximizing throughput at the constraint. They are complementary: TOC identifies where to focus improvement efforts, and lean tools provide the methods for improvement. Many manufacturers use both.

Should I always add capacity to eliminate bottlenecks?

No. First exploit the existing bottleneck capacity (reduce changeovers, eliminate idle time, improve quality). Only elevate (add capacity) after exploitation is maximized. Adding capacity is expensive and shifts the bottleneck elsewhere, potentially to a harder-to-fix constraint.

Related Terms & Resources

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