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Sample Size Formula in Work Measurement under a Fuzzy Environment

A. Gill (Department of Mechanical and Industrial Engineering)
C.R. Bector (Department of Actuarial and Management Sciences)
O. Hawaleshka (Department of Mechanical and Industrial Engineering, University of Manitoba, Winnipeg, Canada)

International Journal of Operations & Production Management

ISSN: 0144-3577

Article publication date: 1 January 1994

1573

Abstract

The sample size formula is extensively used in work measurement. However, this formula, based on statistical techniques, demands that parameters should be precisely assessed. In some situations, when there is vagueness involved in the assessment of parameters, the results obtained using this formula could be erroneous. Redesigns this formula in a fuzzy environment where its parameters can be specified imprecisely. This gives “leeway” to the user in stating the parameters, in the sense that parameters can be specified in a range. The strength of fuzzy set theory lies in the possibility of quantifying and manipulating qualitative statements, vagueness, lack of data, or subjectivity of opinion.

Keywords

Citation

Gill, A., Bector, C.R. and Hawaleshka, O. (1994), "Sample Size Formula in Work Measurement under a Fuzzy Environment", International Journal of Operations & Production Management, Vol. 14 No. 1, pp. 89-98. https://doi.org/10.1108/01443579410049270

Publisher

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MCB UP Ltd

Copyright © 1994, MCB UP Limited

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