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Method for measuring human factor complexity of manual station in production line with consideration of cognition

A technology of complexity measurement and production line, applied in the direction of complex mathematical operations, instruments, manufacturing computing systems, etc., can solve the problems of difficult physiological data and lack of influence, and achieve the effect of comprehensive consideration, reliable and accurate correction

Inactive Publication Date: 2018-09-21
TONGJI UNIV
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Problems solved by technology

However, because it is difficult to collect the physiological data of operators in the actual production environment, and the influence of cognitive factors of operators on the status of manual workstations is lack of necessary analysis, so considering the influence of cognition on the complexity of manual workstations in the production line can be used for production Plan formulation, manual station optimization provides theoretical support

Method used

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  • Method for measuring human factor complexity of manual station in production line with consideration of cognition
  • Method for measuring human factor complexity of manual station in production line with consideration of cognition
  • Method for measuring human factor complexity of manual station in production line with consideration of cognition

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Embodiment

[0050]The present invention uses MATLAB to compile executable programs according to the contents of the invention. Its effect is illustrated by an example of a passenger car assembly line of a car company. Select the tightening equipment of a certain tightening station, and continuously collect the start time point and end time point of each operation of the operator within a relatively long total sample time. The shortest working time in a day is counted as the working time data of the day to measure the complexity. Table 2 shows the fastest working time of the manual station operator in a long period of time.

[0051] Table 2 The fastest working time of the manual station

[0052]

[0053]

[0054] The specific parameters of the fitting curve model are as follows:

[0055] a=89s

[0056] b=-0.2

[0057] t(x) is the shortest operating time of the operator on the xth day at the station, a is the shortest operating time of the operator on the first day during this per...

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Abstract

The invention relates to a method for measuring the human factor complexity of a manual station in a production line with the consideration of cognition, and the method is used for quantitatively describing the complexity of manual station operation of the production line. The method comprises the following steps of (1) establishing a learning curve model of a manual station operation time and collecting a station operation time to fit the parameters of the learning curve model, (2) correcting a learning curve model of a fitted manual station operation time according to an operator execution time correction factor, and (3) establishing a human factor complexity measurement model considering cognition by using a corrected working time based on the information entropy theory, and calculatingthe complexity of the manual station operation of the production line according to the human factor complexity measurement model considering the cognition. Compared with the prior art, the method hasthe advantages of reliable and accurate correction, accurate quantitative analysis, comprehensive consideration and the like.

Description

technical field [0001] The invention relates to the technical field of automated production lines, in particular to a method for measuring human factor complexity of manual stations in a production line considering cognition. Background technique [0002] The performance and response of people in the manufacturing system are very complicated and difficult to quantify. Human performance is unstable, manifested as fluctuations in station operation time, etc., resulting in an increase in the rate of operational errors and a decrease in the rate of product qualification. In the manufacturing process, the instability and randomness exhibited by operators are the focus of research, which not only relates to the economic loss of production, but also poses a threat to the safety of operators. How to understand people as a participatory element in the manufacturing process, affect the complexity of the manufacturing process, and then quantify the degree of its influence is facing a s...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06F17/18
CPCY02P90/30G06Q10/06311G06F17/18G06Q10/063114G06Q50/04
Inventor 刘雪梅范国良李爱平谢楠曾氢菲
Owner TONGJI UNIV
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