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DataSure Improves Throughput & Accuracy

Volume 2, No. 4

Fall, 2008

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Quality, Precision, Innovation

Recent articles in Last Word have highlighted the benefits of the DataSure® Wireless Data Collection System. While some of these articles have explored how DataSure helped specific users and their applications, until now, we have not quantified its value. To do so, we conducted a controlled test to measure the impact of DataSure on throughput speed and level of quality assurance in a defined, 100% inspection application. 

The results were dramatic -- while the slowest method required 29 second per part with significant reliability problems, the DataSure-based method accomplished the same task in about 6-1/2 seconds -- nearly 5 times faster -- with no errors! 

Methodology
The test involved documenting each of the discrete time and motion elements and determining an elapsed time value. It was based on a statistically significant sample to ensure a high degree of reliability and utilized industry-standard methodology. Ergonomic and procedural refinements were implemented during several trial runs. This was done for each of the three tests.

Time/motion elements include: Search, Find, Select, Grasp, Hold, Position, Assemble, Use, Disassemble, Inspect, Transport Loaded, Transport Unloaded, Pre-Position for Next Operation, Release Load, Unavoidable Delay, Plan and Rest.

Test Parameters
The test consisted of measuring three features on a part using an electronic caliper, and recording 100% of the measurement data. The lot size was 500 hundred parts. Three procedures were used:
  1) Measure the part, record the results with pen and paper, then enter
     the data into a program on a PC.
  2) Measure the part and enter the results directly to the PC
  3) Measure the part and record via DataSure Wireless Data Collection.


Method 1: Measure/Pen & Paper/Remote Data Entry
 - Measure & pen/paper: 22 time/motion elements @ 19.7 sec/part
 - Transcription (data entry): 15  time/motion elements @ 9.2 sec/part
 - Total: 37 time/motion elements for a total of 28.9 seconds per part
 - 62 entry errors
Factors affecting accuracy and throughput:
 - Measurement must stop in order to record measurement
 - Illegible handwritten numbers
 - Recording data is often shorthand
 - Mistakes noted but not corrected
 - When measuring, the value can change when the inspector releases the caliper 
 - Additional errors occurred with transcription at the PC
 - The inspector’s handwriting was sometimes misread by the transcriber (usually someone other than the inspector)


Method 2: Measure and Enter Results to PC:
 - 20 time/motion elements @ 15.3 sec/part
 - 4 entry errors
Factors affecting accuracy and throughput:
 - Measurement must be suspended in order to record measurement
 - Missed or incorrect keystrokes
 - Incorrect cell entry on spreadsheet/form
 - When measuring, the value can change when the inspector releases the caliper
 - The caliper is not seated correctly when released to key-in a measurement
 - This method had the advantage of the inspector entering the data without delay

Method 3: Measure and Enter Results Directly with DataSure:
 - 17 time/motion elements @ 6.6 sec/part
 - 0 entry errors
Factors affecting accuracy and throughput:
 - Measurement technique is maintained while capturing the measurement
 - No interpretation or memory errors
 - Requires ordered repository for data – spreadsheet etc.
 - High efficiency with some repetition effects


DataSure Improves Throughput & Accuracy

While other methods involve time-consuming hand movements to pickup and put down the tool in order to record data, each measurement with DataSure is fast and direct -- measure, then send. With a less complicated procedure and no separate data entry, the inspection process is faster and less error prone.

For many applications, if you document the saved time and multiply it by your labor rate, then add the savings associated with reduced incorrect data, you will find that a DataSure system will pay for itself in a very short time. In today’s hypercompetitive environment, more efficient procedures and fewer measurement errors may well be the difference between failure and success.

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