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Lead Time for StartToEnd

Lead Time for Start to End Dashboard
Lead Time for Start to End Dashboard

Type: Dashboard

📝 Definition: Lead time (also sometimes called throughput time) refers to the total time it takes for a process to be completed from start to finish. It can also be applied to a subprocess or a process step.

Lead times, waiting times, processing times or subprocess times are often the center of many questions in process mining.

Here you can filter and analyze the lead times of either the StartToEnd process or a subprocess. Select from the dropdown menu in the top left.

StartToEnd means the lead time from the Start of the first event of the case until the end of the last event of a case.

Only finished processes are considered in the calculations on the dashboard.

Functions​

  • Select/Analyze overall or subprocess lead times

📝 Note: Subprocesses need to be configured in the back-end.

  • Late cases and average or median late/overdue times are expressed, based on configuration of target lead times.

  • Analyze activities that contribute most to overdue cases

  • Analyze activities that contribute most to waiting times in overall process

  • Flexible analysis by any process context to identify lead time improvements

Business Benefits​

  • Overview and monitor the current lead time level

  • Rapid analysis of (late) time drivers to derive corrective actions

  • Reduction and standardization of lead times for the overall process and defined sub-processes

Importance of Lead Time​

  • Efficiency: Reducing lead time can lead to more efficient processes and quicker turnaround times.
  • Customer Satisfaction: Shorter lead times can improve customer satisfaction by delivering products or services faster.
  • Inventory Management: Understanding lead time helps in maintaining optimal inventory levels, reducing holding costs, and avoiding stockouts.
  • Competitive Advantage: Companies that can reduce lead times can respond faster to market changes and customer demands, gaining a competitive edge.

Reducing Lead Time​

  • Process Optimization: Streamlining and improving processes to reduce delays.
  • Supplier Management: Working closely with suppliers to ensure timely delivery of materials.
  • Technology Integration: Using advanced technologies like automation and real-time tracking to expedite processes.
  • Efficient Scheduling: Proper planning and scheduling to minimize waiting times between tasks.

Understanding and managing lead time is crucial for improving efficiency, reducing costs, and enhancing customer satisfaction in various business operations.

Interpreting the Visualizations​

Key Figures​

Lead Time for Start to End KPIs
Lead Time for Start to End KPIs

# Cases​

  • Shows the number of cases in the selected complete process or subprocess.
  • Period comparison (year over year) also shows, if activated. To switch the periods for comparison use the Configure App button in the MPM Toolbar.
  • The timeline underneath shows the development over time.

% Delayed Cases​

  • Shows the percentage of cases that did not meet their target time.
  • This number should be low.

AVG Lead Time​

  • Shows the average total lead time (in days, hours, and minutes) for all cases in the selected (sub)process. This is on average how long it takes to complete the process.
  • This number should be low.

AVG Time Delayed​

  • Shows the average amount of time that cases in the selected (sub)process are delayed.
  • This number should be low.

Probability for Delay Bar Chart​

Probability for Delay Chart
Probability for Delay Chart
Lists the activities that most often occur in cases that are late and their probability. This can help highlight what is different with late cases compared to those that run on time and often highlights optimization potentials at a glance.

Select one or more bars to filter further. Often, the worst offenders do not occur in many cases, so it may be more effective to spend efforts on optimizing things that impact a large number of cases.

Top Waiting Time Influencers Bar Chart​

Top Waiting Time Influencers Chart
Top Waiting Time Influencers Chart
Lists the activities that have the highest percent of waiting times in cases. So if the top activity is 80% then that means for cases that include this step it accounts for 80% of the total case waiting time.

📝 Note: Not every case will have each activity.

Improve (sub)Process Lead Time By (Dimension) Table​

Improve Process Lead Time by Dimension Table
Improve Process Lead Time by Dimension Table
  • Puts all PPIs on the sheet into context.
  • Select a dimension from the dropdown to see related metrics.
  • Lead Time Spread: Shows the volatility of the lead time among cases by calculating the inner quartile range of the lead time. This means it shows the range between shorter and longer lead times, while excluding the extremely fast and slow cases. This PPI is good to use when the goal it to standardize your lead times. A shorter lead time spread is best.
  • Select within the table to filter further.

Reduce Event Duration and Waiting Times Table​

Subprocess-Independent Reduction of Event Duration and Waiting Times Table
Subprocess-Independent Reduction of Event Duration and Waiting Times Table
Lists activities and shows their number of events and average waiting time.

The columns can be sorted to see which activities have the most events or the longest average waiting time.

Select within the table to filter further.