Ledtidsanalyse

Ledtidsanalyse is a systematic assessment of the total time required to complete a process from order placement to delivery or completion. In manufacturing and logistics, it focuses on the order-to-delivery lead time, including order processing, production or assembly, queue time, setup times, inspection, and transport. The aim is to understand where delays occur, quantify variability, and identify opportunities to shorten the overall lead time while maintaining quality and cost.

Key metrics used in ledtidsanalyse include average lead time, median lead time, and percentiles such as the 90th or 95th, along with the standard deviation to measure variability. Data are typically drawn from ERP, MES, WMS, and order or shipment records. The analysis often distinguishes processing lead time (the time when value is added) from non-value-added waiting time, and may separate internal delays from external ones such as supplier or transportation delays.

Methods commonly employed are process mapping or value stream mapping to visualize flow, time studies, and data extraction from systems. Analysts may perform gap analysis, root-cause analysis (for example Pareto or Ishikawa), and simulations or what-if scenarios to test improvement ideas. The goal is to identify bottlenecks, variability sources, and opportunities for standardization or redesign.

Outcomes of ledtidsanalyse include prioritized improvement actions such as reducing setup times, improving queue management, standardizing processes, enhancing supplier collaboration, and better scheduling. Benefits typically include shorter and more predictable lead times, improved delivery reliability, and more efficient inventory management.

Limitations to consider include data quality and availability, changing demand patterns, seasonality, and external disruptions. Real and sustained improvements require cross-functional cooperation and change management.