Man-hour forecasting and evolution based on MES data collection

Ya Jie Li; Wei Ping He; Rong Dong; Yan Li He

doi:10.13196/j.cims.2013.11.liyajie.2810.9.20131118

Man-hour forecasting and evolution based on MES data collection

Ya Jie Li, Wei Ping He, Rong Dong, Yan Li He

School of Mechanical Engineering

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

To improve the accuracy of rated man-hours, a man-hour evolution method based on Manufacturing Execution System (MES) data collection was put forward. Actual work time statistic method based on MES historian data was given, man-hour influencing factors were analyzed and neural network was set up. Man-hour evolution process model was established and the evolutionary process was described. The evolution process was carried out by using real work time to revise man-hour and its neural network constantly, and they were kept consistent with the actual manufacturing situation by means of evolution. The feasibility of proposed method was validated in an aerospace enterprise.

Original language	English
Pages (from-to)	2810-2818
Number of pages	9
Journal	Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume	19
Issue number	11
DOIs	https://doi.org/10.13196/j.cims.2013.11.liyajie.2810.9.20131118
State	Published - Nov 2013

Keywords

Evolution process model
Man-hour forecasting and evolution
Manufacturing execution system historian data
Neural network

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10.13196/j.cims.2013.11.liyajie.2810.9.20131118

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title = "Man-hour forecasting and evolution based on MES data collection",

abstract = "To improve the accuracy of rated man-hours, a man-hour evolution method based on Manufacturing Execution System (MES) data collection was put forward. Actual work time statistic method based on MES historian data was given, man-hour influencing factors were analyzed and neural network was set up. Man-hour evolution process model was established and the evolutionary process was described. The evolution process was carried out by using real work time to revise man-hour and its neural network constantly, and they were kept consistent with the actual manufacturing situation by means of evolution. The feasibility of proposed method was validated in an aerospace enterprise.",

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author = "Li, {Ya Jie} and He, {Wei Ping} and Rong Dong and He, {Yan Li}",

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T1 - Man-hour forecasting and evolution based on MES data collection

AU - Li, Ya Jie

AU - He, Wei Ping

AU - Dong, Rong

AU - He, Yan Li

PY - 2013/11

Y1 - 2013/11

N2 - To improve the accuracy of rated man-hours, a man-hour evolution method based on Manufacturing Execution System (MES) data collection was put forward. Actual work time statistic method based on MES historian data was given, man-hour influencing factors were analyzed and neural network was set up. Man-hour evolution process model was established and the evolutionary process was described. The evolution process was carried out by using real work time to revise man-hour and its neural network constantly, and they were kept consistent with the actual manufacturing situation by means of evolution. The feasibility of proposed method was validated in an aerospace enterprise.

AB - To improve the accuracy of rated man-hours, a man-hour evolution method based on Manufacturing Execution System (MES) data collection was put forward. Actual work time statistic method based on MES historian data was given, man-hour influencing factors were analyzed and neural network was set up. Man-hour evolution process model was established and the evolutionary process was described. The evolution process was carried out by using real work time to revise man-hour and its neural network constantly, and they were kept consistent with the actual manufacturing situation by means of evolution. The feasibility of proposed method was validated in an aerospace enterprise.

KW - Evolution process model

KW - Man-hour forecasting and evolution

KW - Manufacturing execution system historian data

KW - Neural network

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M3 - 文章

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JO - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

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ER -

Man-hour forecasting and evolution based on MES data collection

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Keywords

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