Modeling Robotic Cell and Analyzing the Influences of Stochastic Factors

doi:10.3969/j.issn.1007-7375.e17-1009

Industrial Engineering Journal ›› 2017, Vol. 20 ›› Issue (6): 84-89,95.doi: 10.3969/j.issn.1007-7375.e17-1009

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Modeling Robotic Cell and Analyzing the Influences of Stochastic Factors

XIE Jieming, MAO Ning, CHEN Qingxin

Key Laboratory of Computer Integrated Manufacturing System of Guangdong Province, Guangdong University of Technology, Guangzhou 510006, China

Received:2017-01-04 Online:2017-12-30 Published:2018-01-09

Abstract

Abstract: To analyze the influence that random factors of robotic cell's capabilities produce on system performance, a simulation model is established on the platform of simulation software eM-Plant for a classic robotic manufacturing cell and a series of experiments have been carried out. The results show that the systematic properties of the robotic cell will decline with the influence of random parameters such as arriving interval of workpiece, but it declines through changing system configuration methods such as inputting buffer's capacity. It is concluded that systematic capacity indexes of robotic manufacturing cell with indeterminate step can be improved through adjusting configuration parameters.

Key words: robotic cell, simulation and modeling, random factors, capacity index

CLC Number:

TP391

XIE Jieming, MAO Ning, CHEN Qingxin. Modeling Robotic Cell and Analyzing the Influences of Stochastic Factors[J]. Industrial Engineering Journal , 2017, 20(6): 84-89,95.

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Modeling Robotic Cell and Analyzing the Influences of Stochastic Factors

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