Regression based time standards for fish filleting Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/1v53k165n

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  • In this study the ability of establishing time standards using the technique of regression analysis is demonstrated. Numerical standards are developed for fish filleting operations which are satisfactory for practical use by the seafood processing management. For the analysis non-experimental or historical fillet data was obtained from two seafood processors on the Oregon coast. The fillet data was then analyzed statistically and a linear model developed. This model reflects the relationship between the total man-hours (the dependent variable) and the number of pounds of fillet produced for each specie of fish (the independent variables). Regression coefficients of this model then represent the standard time for producing a pound of fillet for different species of fish filleted. This represents a departure from previously reported applications of regression analysis to standards development. While developing the model a main problem which had to be resolved was the identification and reduction of the variation present in the historical data. Thus the study gives primary consideration to the reduction of the variance of the model and the regression coefficients. Results obtained from this analysis are satisfactory to the management of both the plants. The methods used for reducing the variance were encouraging. The feasibility of regression analysis as a technique to determine time standards, as compared to the traditional methods is demonstrated. Comparisons are made between and within plants for the overall production rates, standards developed for various species (regression coefficients) and delays and other unproductive time. Possible causes for the variations are identified which could be used as starting points for the extension of this study.
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