Skip to main content

A Software Tool for the Calculation of Time Standards by Means of Predetermined Motion Time Systems and Motion Sensing Technology

  • Conference paper
  • First Online:
Human Systems Engineering and Design (IHSED 2018)

Abstract

Predetermined motion time systems (PMTS) are one of various techniques to determine the time to execute a repetitive task, generally used to obtain labor minute costing, set piece-rates, wage-rates and/or incentives in labor intensive industries. One of the most popular PMTS is MODAPTS, a method that divides work in two basic elements: Body part being used, and effort involved to calculate the time needed to complete a task without a chronometer. Kinect is a motion sensor developed to detect human position and movement using several hardware, most notably a depth sensor, a color camera, and a microphone array that provide full body 3D motion capture. A computer software for the establishment of time standards is presented, this software gathers data from Microsoft’s motion analysis technology and associates it to time values using the MODAPTS technique. In order to validate the software tool, results of a wiring harness manufacturing process are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Barnes, R.: Motion and Time Study: Design and Measurement of Work. Wiley, New York (1980)

    Google Scholar 

  2. Chan, A., Hoffmann, E., Chung, C.: Subjective estimates of times for assembly work. J. Industr. Ergon. 61, 149–165 (2017)

    Article  Google Scholar 

  3. Alkan, B., Vera, D., Ahmad, M., Ahmad, B., Harrison, R.: A model for complexity assessment in manual assembly operations through predetermined motion time systems. Procedia CIRP 44, 429–434 (2016)

    Article  Google Scholar 

  4. Buresa, M., Pivodova, P.: Comparison of time standardization methods on the basis of real experiment. Procedia Eng. 100, 466–474 (2015)

    Article  Google Scholar 

  5. Kunza, A., Zanka, M., Neschera, T., Wegenera, K.: Virtual reality based time and motion study with support for real walking. Procedia CIRP 57, 303–308 (2016)

    Article  Google Scholar 

  6. Sullivan, B.: Heyde’s MODAPTS: A Language of Work. Heyde Dynamics, Brisbane (2001)

    Google Scholar 

  7. Lopetegui, M., Po-Yin, Y., Lai, A., Jeffries, J., Embi, P., Payne, P.: Time motion studies in healthcare: What are we talking about? J. Biomed. Inform. 49, 292–299 (2014)

    Article  Google Scholar 

  8. Wu, S., Wang, Y., BolaBola, J., Qin, H., Ding, W., Wen, W., Niu, J.: Incorporating motion analysis technology into modular arrangement of predetermined time standard (MODAPTS). J. Industr. Ergon. 53, 291–298 (2016)

    Article  Google Scholar 

  9. Eltoukhy, M., Oh, J., Kuenze, C., Signorile, J.: Improved kinect-based spatiotemporal and kinematic treadmill gait assessment. Gait Posture 51, 77–83 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jaime León-Duarte .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

León-Duarte, J., Aguilar-Yocupicio, L., Romero-Dessens, L. (2019). A Software Tool for the Calculation of Time Standards by Means of Predetermined Motion Time Systems and Motion Sensing Technology. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_166

Download citation

Publish with us

Policies and ethics