Tag: Time Study

Time Studies with your BlackBerry

Performing a time study is relatively easy compared to only few years ago.  The technologies available today allow studies to be conducted quite readily.

Time Studies and OEE (Overall Equipment Effectiveness)

The Performance factor for OEE is based on the Ideal Cycle Time of the process.  For fixed rate processes, the Name-Plate rate may suffice but should still be confirmed.  For other processes such a labour intensive operations, a time study is the only way to determine the true or ideal cycle time.

When measuring the cycle time, we typically use “button to button” timing to mark a complete cycle.  It can be argued that an operator may lose time to retrieve or pack parts or move containers.  Including these events in the gross cycle time will hide these opportunities.  It is better to exclude any events that are not considered to be part of the actual production cycle.

When calculating the Performance factor for Overall Equipment Effectiveness (OEE), the efficiency shortfalls will be noted by the less than 100% performance.  The reasons for this less than optimal level of peformance are attributed to the activities the operator is required to perform other than actually operating the machine or producing parts.

All operator activities and actions should be documented using a standardized operating procedure or standardized work methodology.  This will allow all activities to be captured as opposed to absorbed into the job function.

The BlackBerry Clock – Stopwatch

One of the tools we have used on the “fly” is the BlackBerry Clock’s Stopwatch function.  The stopwatch feature is very simple to use and provides lap time recording as well.

When performing time studies using a traditional stopwatch, being able to keep track of individual cycle times can be difficult.  With the stopwatch function, the history for each “lap” time is retained.  To determine the individual lap time or cycle time, we recommend dividing the total lapsed time by the number of completed cycles (or laps).

The individual lap times are subject to a certain degree of uncertainty or error as there will always be a lead or lag time associated with the pushing of the button on the BlackBerry to signal the completion of a cycle.  Although this margin of error may be relatively small, even with this level of technology, the human element is still a factor for consideration.

Once the time study is complete you can immediately send the results by forwarding them as an E-mail, PIN, or SMS.

The BlackBerry Camera – Video Camera

Another useful tool is the video camera.  Using video to record operations and processes allows for a detailed “step by step” analysis at any time.  This is particularly useful when establishing Standard Operating Procedures or Standardized Work.

Uploading videos and pictures to your computer is as easy as connecting the device to an available USB port.  In a matter of minutes, the data is ready to be used.

Video can also be used to analyze work methods, sequences, and also serves as a valuable problem solving tool.

Until Next Time – STAY Lean!

We are not affiliated with Research In Motion (RIM).  The intent of this post is to simply demonstrate how the technology can be used in the context described and presented.

OEE and Standardized Work

Overall Equipment Efficiency (OEE):  Standardized Work

After you start collecting OEE data for your processes, you may notice significant variance between departments, shifts, and even employees performing the work.  Of the many aspects that you will be inclined to investigate, standardized work should be one of them.

Making sure that all employees are executing a process or sequence of processes correctly and exactly the same way every time is the topic of standardized work.  The OEE data may also direct you to review how the processes are being executed by some of the top performers to determine if they are truly demonstrating best practices or simply cutting corners.

Lean practices are founded on learning by observing.  We cannot stress the importance of observing an operation to see first hand what opportunities for improvement (waste elimination) are available.  OEE data is a compass that directs you where to look; however, the destination for improvements is the process, the very source from where the data originated.

Establishing Standard Cycle Times

One of the first questions we usually ask is, “How were the standard cycle times determined?”  Was the standard based on best practices, quoted rates, time studies, name plate ratings, or published machine cycle times?

We recommend conducting an actual time study using a stop watch and calculating part to part (button to button) cycle times accordingly.  We have used the stop watch capability of the BlackBerry many times.  Results for lap times and total elapsed time are easily recorded and can be e-mailed as soon as the study is complete.

The sample size of course will depend on the actual rate of the machine and should be statistically relevant.  One or two cycles is not sufficient for an effective time study.

For operator “controlled” processes, we recommend involving the employees who normally perform the work when conducting the time study.  It doesn’t make sense to have the “office experts” run the equipment for a short burst to set a rate that cannot be sustained or is just simply unreasonable.

Many processes, those dependent on human effort or automation, are usually controlled by PLC’s that are also capable of providing the machine cycle time.  At a minimum, we recommend validating these cycle times to at least satisfy yourself that these are part to part or “button to button” cycle times.

For automated operations, PLC’s can typically be relied upon to provide a reasonable cycle time.  Without going to far into process design and development, you will need to understand the elements that control the process sequences.  Some processes are driven by time controls (an event occurs after a period predetermined period of time) versus those that may be event-driven (an event occurs based on satisfying a dependent “sensor on-off” condition or similar “event signal” mechanism.

The real key to understanding the process being studied is to develop a flow chart clearly defining each of the process steps.  It is of equal importance to observe the differences that may be occurring between employees performing the work.  Either the instructions lack clarity or habits (good or bad) have been developed over time.  Although templates exist to aid in the development of standardized work, don’t wait to find the right tool.

Using Video – Record it Live

We highly recommend using a video recorder to capture the process in action.  With the technology available today, video is readily available and a very cost-effective method of documenting your processes.  Video presents several advantages:

  1. Captures activities in real-time.
  2. Provides instant replay.
  3. Establish process or sequence event timing in real-time.
  4. Eliminates need for “stop watches” to capture multiple event timing.
  5. Can be used as a training aid for new employees to demonstrate “standardized work practices”.
  6. Can be used to develop “best practices”.
  7. Reduces or minimizes potential for time measurement error.

We have successfully used video to not only develop standardized work for production processes, but also for documenting and recording best practices for tool changes, set up, and checking or inspection procedures.

Standardized work eliminates any questions regarding the proper or correct way of performing the work required.  Standardized work procedures allow additional development work to be completed “offline” without further disruption to the production process.

Conclusion:

Of course, Standardized Operating / Work procedures are required to establish effective and meaningful value stream maps but even more importantly, they become an effective tool to understand the opportunity for variances in your OEE data, certainly where manual or “human” controlled operations are concerned.

It has been argued that OEE data in and of itself is not statistically relevant and we are inclined to agree with this statement.  The simple reason is that the processes being measured are subject to significant internal and external variances or influences.  Examples may include reduced volumes, product mix changes, tool change frequency, employee turnover, and economic conditions.

As mentioned in many of our posts, it is important to understand “WHAT and WHY” we are measuring.  Understanding the results is more important than the result itself.  A company looking to increase inventory turns may resort to smaller production runs and more frequent tool changes.  This will reduce Availability and, in turn, will result in a lower OEE.  The objective may then be to find a way to further reduce tool change times to “improve” the Availability.

The use of OEE data can vary in scope, ranging from part specific performance to plant wide operations.  As the scope of measurement changes, so do the influences that impact the net result.  So once again, we urge you to use caution when comparing data between personnel, shifts, departments, and production facilities.  Typically, first or day shift operations have greater access to resources that are not available on the “off’ shifts.

Perhaps the greatest “external” influence on current manufacturing operations is the rapid collapse of the automotive industry in the midst of our current economic “melt down”.  The changes in operating strategy to respond to this new crisis are bound to have an effect on OEE among other business metrics.

The ultimate purpose of Lean practices is to reduce or eliminate waste and doing so requires a rigorous “document and review” process .  The ability to show evidence of current versus proposed practices will reduce or eliminate the roadblocks that may impede your continuous improvement objectives.

While the post is brief today, hopefully the message is helpful.

Until Next Time – STAY Lean!

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