JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Sampling Inspection Plan with Human Error: Considering the Relationship between Visual Inspection Time and Human Error Rate
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Sampling Inspection Plan with Human Error: Considering the Relationship between Visual Inspection Time and Human Error Rate
Lee, Yong-Hwa; Hong, Seung-Kweon;
  PDF(new window)
 Abstract
Objective: The aim of this study is to design a sampling inspection plan with human error which is changing according to inspection time. Background: Typical sampling inspection plans have been established typically based on an assumption of the perfect inspection without human error. However, most of all inspection tasks include human errors in the process of inspection. Therefore, a sampling inspection plan should be designed with consideration of imperfect inspection. Method: A model for single sampling inspection plans were proposed for the cases that visual inspection error rate is changing according to inspection time. Additionally, a sampling inspection plan for an optimal inspection time was proposed. In order to show an applied example of the proposed model, an experiment for visual inspection task was performed and the inspection error rates were measured according to the inspection time. Results: Inspection error rates changed according to inspection time. The inspection error rate could be reflected on the single sampling inspection plans for attribute. In particular, inspection error rate in an optimal inspection time may be used for a reasonable single sampling plan in a practical view. Conclusion: Human error rate in inspection tasks should be reflected on typical single sampling inspection plans. A sampling inspection plan with consideration of human error requires more sampling number than a typical sampling plan with perfect inspection. Application: The result of this research may help to determine more practical sampling inspection plan rather than typical one.
 Keywords
Visual inspection task;Human errors;Inspection time;Single sampling inspection plans for attribute;
 Language
Korean
 Cited by
 References
1.
Boubekeur, R. and Foote, B. L., An approach to compensate for uncertainty in knowledge of inspection error, Journal of Quality Technology, 14(4), 190-195, 1982.

2.
Case, K. E., Bennett G. K. and Schmidt, J. W., The Dodge CSP-1 continuous sampling plan under inspection error, AIIE Transactions, 5, 193-202, 1973. crossref(new window)

3.
Case, K. E., Bennett G. K. and Schmidt, J. W., The effect of inspection error on average outgoing quality, Journal of Quality Technology, 7(1), 28-33, 1975.

4.
Colin, R. D., Case, K. E. and Bennett, G. K., The distributions of observed defectives in attribute acceptance sampling plans under inspection error, AIIE Transactions, 8, 376-378, 1976.

5.
Drury, C. G., Inspection performance, Handbook of Industrial Engineering, Edited by G. Salvendy, John Willey & Sons, Inc. 1992.

6.
Jacobson, H. J., A study of inspector accuracy, Industrial Quality Control, 9, 16-25, 1952.

7.
Juran, J. M., Inspector's errors in quality control, Mechanical Engineering, 57, 643-644, 1935.

8.
Kulapatrapa, S. and Case, K. E., Sequential attribute sampling: Inspection error, effects and compensation, Proceedings of AIIE Systems Engineering Conference, 187-196, 1976.

9.
McKenzie, R. M., On the accuracy of inspectors, Ergonomics, 1(3), 258 -272, 1958. crossref(new window)

10.
Menzefricke, U., The effects of variability in inspector error, Journal of Quality Technology, 16(3), 131-135, 1984.

11.
Monk, T. H., Sequential effects in visual search, Acta Psychologica, 38, 315-321, 1974. crossref(new window)

12.
Morawski, T. B., Drury, C. G. and Karwan, M. H., Predicting search performance for multiple targets, Human factors, 22, 707-718, 1980.

13.
Sylla, C. and Drury, C. G., Signal detection for human error correction in quality control, Computer in Industry, 26, 147-159, 1995. crossref(new window)