Integrating Preventive Maintenance Scheduling As Probability Machine Failure And Batch Production Scheduling

ComTech Pub Date : 2016-06-01 DOI:10.21512/COMTECH.V7I2.2247
Zahedi Zahedi, A. Salim
{"title":"Integrating Preventive Maintenance Scheduling As Probability Machine Failure And Batch Production Scheduling","authors":"Zahedi Zahedi, A. Salim","doi":"10.21512/COMTECH.V7I2.2247","DOIUrl":null,"url":null,"abstract":"This paper discusses integrated model of batch production scheduling and machine maintenance scheduling. Batch production scheduling uses minimize total actual flow time criteria and machine maintenance scheduling uses the probability of machine failure based on Weibull distribution. The model assumed no nonconforming parts in a planning horizon. The model shows an increase in the number of the batch (length of production run) up to a certain limit will minimize the total actual flow time. Meanwhile, an increase in the length of production run will implicate an increase in the number of PM. An example was given to show how the model and algorithm work.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ComTech","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21512/COMTECH.V7I2.2247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper discusses integrated model of batch production scheduling and machine maintenance scheduling. Batch production scheduling uses minimize total actual flow time criteria and machine maintenance scheduling uses the probability of machine failure based on Weibull distribution. The model assumed no nonconforming parts in a planning horizon. The model shows an increase in the number of the batch (length of production run) up to a certain limit will minimize the total actual flow time. Meanwhile, an increase in the length of production run will implicate an increase in the number of PM. An example was given to show how the model and algorithm work.
将预防性维修计划整合为概率机器故障和批量生产计划
讨论了批量生产调度与机器维修调度的集成模型。批量生产调度使用最小化总实际流程时间标准,机器维护调度使用基于威布尔分布的机器故障概率。该模型假设在规划范围内没有不合格部件。该模型显示,增加的批数(生产运行的长度)达到一定限度,将最小化的总实际流动时间。同时,生产周期的增加会导致PM数量的增加。最后通过一个算例说明了该模型和算法的工作原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
6
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信