Condition-based maintenance strategy model of multi-component batch production system based on dynamic demand

被引：0
|
作者：
Chen S. [1 ]
Liu Q. [1 ]
Li J. [1 ]
机构：
[1] School of Business, Shanghai University of Technology, Shanghai
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 12期
基金：
上海市自然科学基金;
关键词：
advance-delay dynamic maintenance; batch production; condition-based maintenance; multi-component batch production system;
D O I：
10.13196/j.cims.2021.0426
中图分类号：
学科分类号：
摘要：
In view of the current market and customer demand-oriented batch production orders, a condition-based maintenance strategy model of multi-component batch production system based on dynamic demand was proposed. The failure rate level was described by Weibull distribution, and the factors of failure rate acceleration and service age reduction were introduced to describe the characteristics of imperfect maintenance. The minimum maintenance cost rate was used to determine the initial preventive maintenance time and maintenance time interval of each component. Based on the current production plan with batches as the periodic rolling update, the preventive maintenance was dynamically adjusted according to the value of the advance maintenance and delay maintenance cost, and the maintenance cost-time ratio function was defined to evaluate the economics of the preventive maintenance. An opportunity maintenance model was established to reduce the number of batch production interruptions and reduce the total cost. An example was used to verify the effectiveness of the condition-based maintenance model of the multi-component production system proposed, which could bring significant economic benefits to a batch production system with dynamic demand. © 2023 CIMS. All rights reserved.
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页码：4244 / 4255
页数：11
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