A bottleneck analysis systematically identifies bottlenecks in processes or supply chains that limit the overall throughput. For purchasing, this enables the early detection of critical supply bottlenecks and the development of targeted countermeasures to ensure supply capability.
Example: An automotive supplier identifies through a bottleneck analysis that the delivery time of a critical electronic component has increased from 6 to 12 weeks and subsequently increases the safety stock from 2 to 4 weeks in order to avoid production interruptions.
Bottleneck analysis is a strategic tool in procurement management that aims to identify and eliminate bottlenecks in the supply chain. By analyzing procurement processes, resource allocation and supplier performance, potential bottlenecks that could affect the production flow or delivery capability can be identified. The aim is to ensure security of supply and minimize operational risks.
Bottleneck analysis is essential in procurement in order to identify and avoid supply bottlenecks at an early stage. By taking proactive measures, buyers can increase security of supply, prevent production downtime and strengthen the company's competitiveness. An effective bottleneck analysis also supports the development of procurement strategies and the diversification of the supplier portfolio.
The bottleneck analysis helps to identify materials with a high supply risk. By evaluating factors such as the number of suppliers, procurement volume and market availability, potential bottlenecks can be identified at an early stage and strategic measures initiated.
Initial situation:
A mechanical engineering company needs 5,000 units of a special bearing every year. The current supplier delivers these at a price of €100 per piece. There are only two suppliers on the market who can produce this bearing in the required quality.
Analysis:
Result of the bottleneck analysis:
The warehouse represents a bottleneck part, as it has a high supply risk and low procurement market power. A delivery failure would lead to considerable production downtime.
Recommended measures:
→ Systematic data collection: continuous monitoring of supplier performance, market developments and inventory trends for precise bottleneck identification
→ Cross-functional collaboration: close coordination between purchasing, production and development for holistic bottleneck assessment
→ Risk management expertise: development of early warning systems and emergency plans for critical materials
→ Dynamic markets: Rapidly changing market situations make long-term bottleneck forecasts difficult
→ Commitment of resources: High effort for continuous monitoring and evaluation of alternatives
→ Complexity management: difficulty in taking all relevant influencing factors into account in the analysis
Future trends and strategic implications:
"The integration of AI and predictive analytics will revolutionize bottleneck analysis and enable proactive action."
→ Automated early risk detection through AI-supported analysis tools
→ Digital twins for the simulation of supply scenarios
→ Blockchain-based transparency in the supply chain
→ Increased regionalization of procurement to minimize risk
Bottleneck analysis is an indispensable tool in modern procurement management. It enables bottlenecks to be identified at an early stage, minimizes supply risks and strengthens the company's strategic position. The systematic application and integration of new technologies such as AI and predictive analytics will further increase its importance for successful supply chain management. However, the correct interpretation of the analysis results and the consistent implementation of suitable countermeasures remain crucial for success.