基于时间延迟的多重嵌套式维修模型
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摘 要
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matlab
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ABSTRACT
High automatic level, continuous production process and complex production
technology, which are the characters of the modern manufacturing industry, caused
facility management means too much to enterprise, and an optimal maintenance plan
plays an important role in it which can improve equipment utilization and reduce
unplanned shutdowns.
From the angle of system optimal, calculate the optimal inspection interval of all
kinds of maintenance types. Solve the problem of how to use quantitative method to
optimal comprehensive maintenance plan which means too much for the theory research
and practice application on facility management. The main research contents of this
paper are as followings:
1. Briefly introduced the research status both at home and abroad which mainly
focus on the single components and multi components and the condition based facility
management. And then introduce the research about Delay-Time Theory which is used
to optimize the inspection interval and the main three maintenance mode.
2. Analysis how to draw up the maintenance plan and how to carry out the plan.
Propose the elements which affect the maintenance plan.
3. Depend on the Delay-Time theory and the multi-nested inspection model,
establish the maintenance model to optimize the unit time expect cost, and put forward
the thinking about how to calculate the model, the process and step of Branch and
Bound.
4. A numerical example was given to demonstrate the modeling. And Compare the
multi nested inspection model with the other combination of inspection type to
demonstrate the model.
KEY WORDS: Facility ManagementDelay TimeInspection Cycle
Branch and Bound
目 录
ABSTRACT
······················································································· 1
1.1 ·············································································································· 1
1.2 ······················································································· 2
1.3 ············································································································ 4
1.3.1 ·················································································· 4
1.3.2 ······················································································· 5
1.3.3 ·············································································· 6
1.3.4 ·············································································· 6
1.4 ·············································································································· 8
1.5 ··························································································································· 9
······································ 10
2.1 ·································································································································· 10
2.2 ················································································ 10
2.3 ················································································································ 12
2.3.1 ·································································································· 12
2.3.2 ························································································· 14
2.4 ························································································································· 15
············································· 16
3.1 ······························································································ 16
3.1.1 ········································································································ 16
3.1.2 ······················································································ 17
3.1.3 ········································································································ 18
3.1.4 ······························································································· 18
3.2 ····················································································· 19
3.2.1 ············································································· 19
3.2.2 ············································································· 20
3.2.3 ····················································································· 22
3.3 ··············································································································· 23
3.3.1 ······························································································ 24
3.3.2 ·························································································· 25
3.3.3 ······························································································ 26
3.3.4 ························································································· 26
3.3.5 ················································································ 27
3.4 ························································································································ 27
··································· 28
4.1 ··········································································· 28
4.2 ························································································ 28
4.3 ·········································································································· 30
4.3.1 ········································································································· 30
4.3.2 ···························································································· 30
4.3.3 ····································································································· 31
4.4 ······························································································ 34
4.4.1 ········································································································ 34
4.4.2 ········································································ 34
4.4.3 ····················································································· 35
4.4.4 ················································································· 38
4.5 ························································································································· 39
················································································ 40
5.1 ························································································· 40
5.2 ······························································································ 41
············································································· 45
6.1 ····························································································· 45
6.2 ························································································································ 45
································································································· 47
1 ····························································································································· 47
2 matlab ········································································································ 49
··························································································· 54
······································································ 59
································································································· 60
1
第一章 绪论
1.1
1-1 :
1-1
15%-40% 28%[1-2],
2
Garther Group
10%-20%, 3%-5%
20%-30% 5%-8%
10% 25%
10%[3-5]
1.2
3
:
摘要：
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摘要现代制造业具有工艺复杂、自动化程度高、生产过程连续、停机损失大等一系列特点，这使得设备的维修管理工作对企业的连续生产起着至关重要的作用，而制定优化的维修计划则是保持设备良好的运行状态，提高设备利用效率，减少设备意外停机的关键。本论文旨在从系统优化角度，计算出各种维修类型的最优检查周期，从而解决如何应用定量化方法，优化维修综合计划的难题。对于提高设备维修管理具有重要的理论意义和实用价值。本文的主要工作有以下几点：1.介绍了国内外关于设备维修的相关研究现状，主要聚焦在单设备系统维修，多设备系统维修和状态维修的研究现状，并介绍了时间延迟理论在维修计划中应用的研究现状。介绍设备维修制度的发展和目前...
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作者：牛悦
分类：高等教育资料
价格：15积分
属性：62 页
大小：2.32MB
格式：PDF
时间：2024-11-07
