A RealTime CBM DecisionMaking Model for Bernoulli Serial Production Line

doi:10.11908/j.issn.0253-374x.2018.10.012

Home > Archive>Volume 46, Issue 10, 2018 >1410-1415. DOI:10.11908/j.issn.0253-374x.2018.10.012

A RealTime CBM DecisionMaking Model for Bernoulli Serial Production Line
DOI:
                        10.11908/j.issn.0253-374x.2018.10.012
                    
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                        LI YangLI Yang
School of Mechanical Engineering, Tongji University, Shanghai 201804, China
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DENG JiaDENG Jia
School of Mechanical Engineering, Tongji University, Shanghai 201804, China
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ZHANG XinyanZHANG Xinyan
School of Mechanical Engineering, Tongji University, Shanghai 201804, China
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Clc Number:TH186
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Abstract:

Conditionalbased maintenance (CBM) can reduce the possibility of machines’ failure, but the stoppage resulted by CBM will affect the system’s throughput. In order to minimize the impact of CBM, a realtime maintenance decision method was proposed. First, a mathematical model based on Markov process model was developed to describe the system dynamics. Second, the model quantified the impact of system stoppages on the throughput by calculating the permanent production loss. Finally, a control algorithm was developed to optimize CBM decisions. A simulation case study was performed to validate the effectiveness of the model.

Key words:conditionalbased maintenance(CBM); maintenance control; Markov process model; system dynamics; permanent production loss

Reference

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LI Yang, DENG Jia, ZHANG Xinyan. A RealTime CBM DecisionMaking Model for Bernoulli Serial Production Line[J].同济大学学报(自然科学版),2018,46(10):1410~1415

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Received:September 13,2017
Revised:August 22,2018
Adopted:June 25,2018
Online: November 09,2018
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