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Related Experiment Videos

Poka-yoke process controller: designed for individuals with cognitive impairments.

R F Erlandson1, D Sant

  • 1Enabling Technologies Laboratory, Electrical & Computer Engineering, Wayne State University, Detroit, MI 48202, USA.

Assistive Technology : the Official Journal of RESNA
|May 29, 1999
PubMed
Summary

Poka-yoke error-proofing techniques enhance worker performance and independence in manufacturing. The Poka-Yoke Controller (PYC) provides enhanced feedback for tasks like weighing and counting, reducing errors and staff intervention.

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Area of Science:

  • Industrial Engineering
  • Human Factors Engineering
  • Assistive Technology

Background:

  • Poka-yoke (error proofing) minimizes defects in manufacturing by reducing task demands and enhancing worker-process feedback.
  • Cognitive impairments can make tasks like weighing and counting challenging, requiring enhanced feedback mechanisms.
  • Existing feedback systems are often insufficient for individuals with cognitive impairments.

Purpose of the Study:

  • To introduce the Poka-Yoke Controller (PYC), an assistive device for counting and weighing tasks.
  • To demonstrate how the PYC enhances feedback for individuals performing manual tasks.
  • To evaluate the PYC's effectiveness in improving performance and independence.

Main Methods:

  • The Poka-Yoke Controller (PYC) was developed to interface with digital scales, sensors, and voice output devices.

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  • PYC integrates with material handling systems for coordinated operations.
  • Three applications were implemented: one weighing task and two object counting tasks.

    • Main Results:

    • Observed improvements in worker performance and process quality across all applications.
    • Demonstrated increased worker independence, reducing the need for staff intervention.
    • Successfully adapted PYC for diverse weighing and counting scenarios.

    Conclusions:

    • The Poka-Yoke Controller (PYC) effectively enhances feedback for tasks, improving accuracy and efficiency.
    • PYC promotes greater worker independence and reduces reliance on human supervision.
    • Error-proofing through enhanced feedback is a viable strategy for improving accessibility and performance in industrial settings.