Labor Hour Estimation Based on the Difficulty Coefficient of Parts Processed

doi:10.12068/j.issn.1005-3026.2016.07.019

Abstract

Abstract: According to random order and many kinds of product， it is difficult to get labor hour in the current production environment， the relationship between the difficulty coefficient of parts processed and labor hour was researched. To quickly and accurately determine the labor hour， a method based on the difficulty coefficient of parts processed was presented. Considering the key factors affecting parts processing time， an evaluation index system for the process difficulty was built. In the model， the entropy value method and group decision theory were introduced to analyze the influencing factors of difficulty coefficient comprehensively. Based on historical data of time-quota， the correlative function of the process difficulty coefficient and time-quota was built using the MATLAB. The method was verified to be accuracy and efficiency by experiment.

Key words: difficulty coefficient of process, labor hour estimation, MATLAB, evaluation index, entropy value method

CLC Number:

TH16

YANG Xu-chang， CHEN You-ling. Labor Hour Estimation Based on the Difficulty Coefficient of Parts Processed[J]. Journal of Northeastern University Natural Science, 2016, 37(7): 998-1002.

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