Takt Time is the rate at which products or services should be produced to meet the rate of customer demand. It is derived from the German word, Taktzeit, which is often referred to as the heartbeat or drumbeat of production in Lean Manufacturing.
The value, in conjunction with the current loading (production) rates, is used to analyze process loads, bottlenecks, and excess capacity. The study will indicate which operations are ahead of the demand rate and which are not, both indicating opportunities for improvement. This is strictly a formula and calculation. Use it to compare the measured "loading" to quantify whether an operation meets, exceeds, and by how much.
The unit of time in the numerator & denominator must be the same.
The numerator, Available Work Time, is often expressed as Minutes/Shift, Seconds/Day, Minutes/Day and so on.
The denominator, Customer Demand Rate, is often expressed as Parts/Min, Units/Shift, Pieces/Day, and so on.
EXAMPLE:
Below is an example calculation. It is labeled PROCESS 1 because if the amount of work time available OR the demand on that particular machine or group of machines varies from one process to another then each process will have its own takt time.
A Takt Time calculator (along with other templates and calculators) with an example is available here. The formulas within the spreadsheet are visible to help comprehend the impact of the inputs. |
Takt time values are rarely the same across the entire value stream if the layout is departmentalized. Chances are these machines (processes or services) share demand. However, in many workcells, all the machines have the same customer demand rate and the same available work time making the line balancing activity an easier task.
Example:
If Customer A orders 55,000 units/day that require Process 1 (from above) and these units also require downstream Process 2
AND
Customer B now places an order and wants 55,000 units/day that require Process A and NOT Process 2 then the takt time for each process is different.
Given the work available is the same for each process at 22 hours/day = 1,320 minutes per day = 79,200 sec/day.
CALCULATION:
Process 1:
Takt Time= 79,200 sec/day / 110,000 units/day = 0.72 SEC / UNIT
Process 2: Takt Time = 79,200 sec/day / 55,000 units/day = 1.44 SEC / PART
Conclusion
The load rate (production rate) must be twice as fast on Process 1 than Process 2 to keep up with customer demand.
Those operations that are performing better than takt time also have opportunity for improvement; often the load from a process that is behind can be offloaded and shared. The amount is determined by the differences in the current load and takt time studies for each process.
Leveling the workload, line balancing, across the processes by studying these values is the team's work.
The study is normally depicted using bar graphs and will not only show bottlenecks or excess capacity but will quantify the amount and show relativity between all operations.
The chart below shows the results of an evaluation of the nine process (A-H) to produce a particular product. What takeaways are there?
Processes B,C,D,E have excess capacity since they are outperforming the customer demand or takt time. In such a situation, evaluate the manpower for the possibility of shifting it to a constraint operation or reduce overtime.
Processes A, F, G, H, and I are nearly perfectly matched and performing at the takt time. In reality this is very difficult to achieve and maintain loading at the exact level of takt time. For one, the takt time often changes (customer demand changes).
Process H may be a minor constraint. Perhaps a SMED event could deliver enough improvement to alleviate any bottleneck.
In this type of situation, there should not be any late deliveries to the customer. Of course this is a snapshot in time. If the loading or the takt time have a lot of volatility (or variation), then that is not going to show up necessarily in this chart. As with any tool that represents a snap shot in time, variation could result in many problems.
Bottleneck operations are those operations where the Load Cycle > Takt Time.
It may commonly be known by the team members which operations have capacity and which are the constraints but it is not known to what degree and amount compared to the other processes.
In order to meet the delivery demands of the customer each bottleneck will need to resolved so the loading is faster than the takt time.
But where do you focus your efforts first?
The study will only provide numbers. A small constraint in one area due to high scrap and rework may be much costlier overall than a larger time constraint in another area.
These numbers along with reasoning on costs, scrap, and other subjective measures are for the team to determine prioritization for the improvements.
This is why a Finance professional and key stakeholders must contribute to the team. As a Six Sigma project manager you can only present the numbers but also offer up what is NOT in the numbers that could shift priorities.
The goal is to get the entire line balanced while removing waste. Waste reduction (rework, scrap, over production, and other 7-Wastes) should be targeted aggressively and then a loading study should be done prior to significant investments into line balancing.
Return to the IMPROVE phase
Return to LEAN MANUFACTURING
Find books, videos, DVDs on Takt time and Line Balancing
Templates and Calculators
Return to the Six-Sigma-Material Home Page
Mar 20, 17 07:14 PM
One source that links the most commonly used Six Sigma material with examples, tools, and templates. Support materials are referenced and Black Belt certification problems are also available.
Jul 17, 16 12:12 AM
Proper data classification is necessary to select correct statistical tools
Jun 22, 16 07:13 PM
Description of the 7-Wastes, also called Muda
Six Sigma Modules
The following presentations are available to download
Click Here
Green Belt Program 1,000+ Slides
Basic Statistics
SPC
Process Mapping
Capability Studies
MSA
Cause & Effect Matrix
FMEA
Multivariate Analysis
Central Limit Theorem
Confidence Intervals
Hypothesis Testing
T Tests
1-Way Anova Test
Chi-Square Test
Correlation and Regression
SMED
Control Plan
Six Sigma & Lean Courses