Cluster analysis—an alternative to statistical distributions for determining slotting schemes used in determining indirect work standards

This paper is a follow-up to a research effort by Enscore and Niebel [1] in which various statistical distributions (uniform, normal and gamma) were compared to determine their effectiveness in generating slotting schemes for indirect labor standards. Using the same data as the previous research, cl...

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Bibliographic Details
Published in:Computers & industrial engineering 1987, Vol.12 (1), p.1-7
Main Authors: Emory Enscore, E., Knott, Kenneth, Niebel, Benjamin W.
Format: Article
Language:English
Subjects:
Benchmarks
Cluster analysis
Job
Statistical methods
Work standards
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Summary:This paper is a follow-up to a research effort by Enscore and Niebel [1] in which various statistical distributions (uniform, normal and gamma) were compared to determine their effectiveness in generating slotting schemes for indirect labor standards. Using the same data as the previous research, cluster analysis is evaluated for its effectiveness as a slotting method. A fourth statistical distribution is introduced as part of this research. It is the log-normal distribution. The determination of the slotting schemes for each method and the simulation used for evaluation of the methods is carried out on a VAX 11/780. Of the five slotting techniques tested, cluster analysis is clearly the best and the uniform distribution clearly the worst. The normal, gamma and log-normal distributions all performed well, with a slight edge going to the normal.
ISSN:0360-8352
1879-0550
DOI:10.1016/0360-8352(87)90019-2