Basics of cycle time optimisation What is a cycle time and how can it be optimised?
Cycle time optimisation describes the targeted process of reducing the time per unit produced within a production process without compromising quality. The cycle time itself is the maximum amount of time available for the manufacture of a product in order to fulfil customer demand. It is regarded as the clock generator of production and determines the speed at which individual work steps are carried out.
Through cycle time optimisation, this production rhythm is adjusted so that downtimes, idle times and bottlenecks are minimised. The cycle time is calculated from the available production time and the required quantity. Targeted optimisation not only reduces the production time per unit, but also increases the capacity utilisation of the entire production line.
Increase efficiency, quality and profitability Goals of cycle time optimisation
The central aim of cycle time optimisation is to design production processes in such a way that they run in line with demand and without unnecessary delays. The focus here is not only on speeding up the work steps, but also on eliminating waste such as waiting times, duplicate work processes or unnecessary transport routes.
Successful cycle time optimisation improves planning, increases production capacity and ensures shorter delivery times. At the same time, it supports employee motivation, as workstations and processes are clearly structured and overload is avoided. From an economic point of view, optimisation helps to reduce costs and strengthen competitiveness.
Analysis, lean approaches and digital technologies Methods for cycle time optimisation
The first step in cycle time recording is a detailed process analysis. This involves analysing all work steps, their duration and dependencies in order to identify bottlenecks in production. Value stream analyses or cycle time diagrams provide information on where improvements can be made.
Lean methods such as Kaizen, 5S or one-piece flow, which aim to reduce waste and improve the flow of materials, are an important part of cycle time optimisation. This approach is supported by automation technologies such as robots, automatic conveyor systems or automated quality controls, which ensure consistent speed and precision.
Modern cycle time optimisation also relies on digital tools. Sensors, industrial IoT systems and digital twins enable real-time monitoring of processes and simulations of planned changes. This allows optimisation potential to be precisely identified and measures to be tested with minimal risk.
already during the system planning Consideration of the cycle time
If you want to optimise your production, improve your products or create innovations in new fields of application, we will be happy to help you with the implementation. As part of system planning, we also take the specified cycle time into account and optimise it during or after implementation.
Practical examples for cycle time optimisation Cycle time in the automotive industry
Cycle time plays a central role in automotive production, as the entire production process is organised in a precisely timed flow. Each assembly step must be completed within a specified cycle time so that the production plant can continue to run continuously. This production rhythm ensures that all stations are optimally utilised and that there are no waiting times or backlogs. A cycle time that is too long would reduce the overall throughput, while a cycle time that is too short could lead to overloading, quality problems or increased rejects. Therefore, cycle time optimisation in the automotive industry is an ongoing process in which production processes, worker movements and material provision are regularly analysed and adjusted to ensure maximum efficiency while maintaining quality.
In modern automotive production, the average cycle time per vehicle is around 60 seconds, i.e. one car per minute. A real-life example shows even significantly shorter cycle times: Tesla achieves a cycle time of 45 seconds per vehicle in its Gigafactory, which would theoretically enable production of up to 1,800 cars per day.
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