WORK SAMPLING USING EXTENDED OBSERVATIONS.
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| Title: | WORK SAMPLING USING EXTENDED OBSERVATIONS. |
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| Authors: | Corlett, E. N., Hollier, R. H.1 |
| Source: | International Journal of Production Research. Jun65, Vol. 4 Issue 1, p21. 15p. 2 Diagrams, 3 Charts, 7 Graphs. |
| Subjects: | Work sampling, Work measurement, Experimental design, Time study, Sampling (Process), Behavior |
| Abstract: | The paper concerns a technique of Work Sampling in which the sample, instead of being an immediate recognition of the state of the activity, is extended over a fixed period of time. In this time period all states of the activity which fall completely within the sample period are recorded, with the lengths of time of their occurrence. The paper discusses an experimental approach to a study of such a sampling system. The effects of the length of the fixed period of time of the sample and the number of samples are discussed and illustrated with some experimental results. Consistencies in the behaviour of the histograms of the samples, when compared with the original distribution built into the experimental model, suggest that reliable methods of estimating the distribution of the original population from sampled values may be practicable. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
| Abstract: | The paper concerns a technique of Work Sampling in which the sample, instead of being an immediate recognition of the state of the activity, is extended over a fixed period of time. In this time period all states of the activity which fall completely within the sample period are recorded, with the lengths of time of their occurrence. <BR> The paper discusses an experimental approach to a study of such a sampling system. The effects of the length of the fixed period of time of the sample and the number of samples are discussed and illustrated with some experimental results. <BR> Consistencies in the behaviour of the histograms of the samples, when compared with the original distribution built into the experimental model, suggest that reliable methods of estimating the distribution of the original population from sampled values may be practicable. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00207543 |
| DOI: | 10.1080/00207546508919961 |
