Study On The Method Of Knowledge Work Measurement For ETO

In the wake of an era of knowledge-based economy, the market competition has become increasingly fierce. On the one hand, the production type featured ETO has played an important role in a world economy with highly developed social production modes and constantly raising and personalized needs on product. On the other hand, since the knowledge-based enterprise is an important carrier of the society of knowledge economy, knowledge workers are absolutely kernel resources in such enterprises. Faced with fast-changing environment and more and more personalized and diverse needs of service involved with knowledge, it is still a big challenge on how to measure the labor of those knowledge workers in order to not only meet the demands of customers with high quality, high efficiency and low cost, but also maximize the potential for both individual workers and enterprises.This paper brings forward a two-dimensional curve fitting, a method to measure the labor of knowledge workers. This measurement, based on ETO, making use of the basic idea of Industrial Engineering and certain related software and computer technology, makes both the need of such enterprises to measure the labor of knowledge workers and the shortcomings of current measurement into consideration. Starting with the analysis of three basic factors of knowledge-based labor, namely, the laborer, the implements of labor and the subject of labor, this paper also makes elaborate analysis on the characteristics of ETO enterprise. Choosing labor-time as the yardstick, the method proposed in this paper, has set up the laborer and the subject of labor factors to be the two-dimensional factors which affect the labor measurement. With the post assessment method, the laborer has been graded according to his or her different post; with the grading method and analysis based on the correlated characteristics of the laborer, the rate of difficulty of certain post has been standardized; through the working journal the sample figures of correlated time to these two dimensions can be measured; through the computer curve fitting the quantitative model on measuring knowledge-based labor can be obtained.At the last part of this paper, this kind of measurement has been implemented in a mould manufacture, a typical ETO enterprise to testify its practicability. Part of the results of this research has been successfully applied to the ERP system and other managerial fields of this enterprise, given the standard and precise data acquired. It also provides reliable data support for the scientific management of the enterprise.