本文選題：多部件系統(tǒng) + 維修決策　； 參考：《太原科技大學(xué)》2015年博士論文

【摘要】：設(shè)備的維修與維修備件的庫存管理互相影響和制約,將二者集成,尋找全局最優(yōu)的聯(lián)合策略是維修決策領(lǐng)域一個(gè)重要的研究方向。隨著工業(yè)技術(shù)的日益發(fā)展,各類系統(tǒng)的復(fù)雜度不斷提升,結(jié)構(gòu)化和模塊化的設(shè)計(jì)使得系統(tǒng)通常可以從功能和/或結(jié)構(gòu)上劃分為多個(gè)關(guān)鍵子系統(tǒng)或部件,且部件之間存在各種各樣的依賴關(guān)系,為系統(tǒng)的維修決策研究帶來了新的挑戰(zhàn),因此,考慮部件的相關(guān)性,研究多部件系統(tǒng)的維修決策及維修與備件庫存的聯(lián)合決策問題成為了亟需解決的新課題。本文針對(duì)在考慮部件相關(guān)性的多部件系統(tǒng)維修決策研究中存在的聯(lián)合分布構(gòu)建困難、枚舉建模低效易錯(cuò)、仿真建模耗時(shí)和分解降維求解不準(zhǔn)確等問題,研究多部件系統(tǒng)的維修決策建模與優(yōu)化以及維修與備件庫存聯(lián)合決策的建模與優(yōu)化問題,其主要研究工作如下:(1)多部件系統(tǒng)劣化狀態(tài)空間劃分建模方法研究。在分析并抽象基于不同基礎(chǔ)策略的機(jī)會(huì)維修策略共同特征的基礎(chǔ)上,構(gòu)建了多部件系統(tǒng)統(tǒng)一的劣化狀態(tài)空間劃分建模方法,方法給出了聯(lián)合劣化狀態(tài)空間的表示與劃分、維修需求組合的表示與劃分及系統(tǒng)劣化狀態(tài)空間區(qū)域與維修需求組合的對(duì)應(yīng)關(guān)系;(2)相同和不相同多部件系統(tǒng)劣化狀態(tài)空間劃分建模研究。應(yīng)用所提出的劣化狀態(tài)空間劃分方法,針對(duì)存在相關(guān)性的相同和不相同部件組成的多部件系統(tǒng)分別進(jìn)行了統(tǒng)一的劣化狀態(tài)空間劃分建模,并給出了聯(lián)合劣化狀態(tài)穩(wěn)態(tài)概率密度函數(shù)的計(jì)算模型和數(shù)值解法,推導(dǎo)了多部件系統(tǒng)維修需求組合概率的計(jì)算通式;(3)相同多部件系統(tǒng)和不相同兩部件系統(tǒng)的視情機(jī)會(huì)維修決策建模與優(yōu)化研究。針對(duì)不同系統(tǒng)的維修特性,制定了合理的視情機(jī)會(huì)維修策略,并在考慮各種維修要素的條件下,基于系統(tǒng)的聯(lián)合劣化狀態(tài)空間劃分模型,建立了系統(tǒng)長期平均費(fèi)用率模型,給出了優(yōu)化方法,最后通過數(shù)值實(shí)驗(yàn)驗(yàn)證和分析了模型的正確性和方法的有效性;(4)相同多部件系統(tǒng)的維修與備件庫存聯(lián)合決策建模與優(yōu)化研究。在劣化狀態(tài)空間建模的基礎(chǔ)上,給出了備件庫存狀態(tài)穩(wěn)態(tài)概率的數(shù)值計(jì)算模型與解法,推導(dǎo)了受備件庫存狀態(tài)影響的維修活動(dòng)的概率和備件的訂購、持有概率的計(jì)算式,建立了維修與備件庫存聯(lián)合決策模型,給出了相應(yīng)的優(yōu)化方法,并以多個(gè)相同風(fēng)力渦輪機(jī)的同一部件組成的系統(tǒng)為對(duì)象進(jìn)行了應(yīng)用研究;(5)不相同兩部件系統(tǒng)的維修與備件庫存聯(lián)合決策建模與優(yōu)化研究。在劣化狀態(tài)與備件庫存狀態(tài)組合空間建模的基礎(chǔ)上,給出了系統(tǒng)劣化與備件庫存組合狀態(tài)的穩(wěn)態(tài)概率密度函數(shù)的計(jì)算模型與數(shù)值解法,推導(dǎo)了系統(tǒng)的維修活動(dòng)、備件的訂購和持有概率的計(jì)算方法,建立了系統(tǒng)的維修與備件庫存聯(lián)合決策模型,給出了相應(yīng)的優(yōu)化方法,并以單個(gè)風(fēng)力渦輪機(jī)的兩個(gè)關(guān)鍵部件組成的系統(tǒng)為對(duì)象進(jìn)行了應(yīng)用研究。
[Abstract]:The maintenance of equipment and the inventory management of maintenance spare parts affect and restrict each other. It is an important research direction in the field of maintenance decision to integrate the two strategies to find the global optimal joint strategy. With the development of industrial technology, the complexity of all kinds of systems is increasing. Structural and modular design make the system can be divided into several key subsystems or components from the function and / or structure. And there are a variety of dependencies between components, which brings new challenges to the research of system maintenance decision. Therefore, considering the correlation of components, The research on maintenance decision and joint decision of maintenance and spare parts inventory has become a new problem that needs to be solved. In this paper, it is difficult to construct joint distribution in the research of maintenance decision of multicomponent system considering component correlation, enumeration modeling is inefficient and error prone, simulation modeling is time-consuming and the solution of decomposition and dimension reduction is not accurate, and so on. The maintenance decision modeling and optimization of multicomponent system and the modeling and optimization of joint maintenance and spare parts inventory decision are studied. The main research work is as follows: (1) study on modeling method of multi-component system deterioration state space partition. On the basis of analyzing and abstracting the common characteristics of opportunity maintenance strategy based on different basic strategies, a unified modeling method of deteriorating state space partition for multi-component system is constructed, and the representation and partition of joint deterioration state space are given. The representation and partition of maintenance requirement combination and the corresponding relationship between the region of system deterioration state space and the combination of maintenance requirements; (2) the modeling of the partition of the same and different multi-component system deterioration state space. Based on the improved state space partitioning method, a unified decomposition model for the same and different components of multi-component systems with correlation is proposed. The calculation model and numerical solution of the steady-state probability density function of joint deterioration state are given. A general formula for calculating the combined probability of maintenance requirements of a multicomponent system is derived. (3) the opportunistic maintenance decision modeling and optimization of the same multi-component system and the different two-component system are studied. According to the maintenance characteristics of different systems, a reasonable opportunistic maintenance strategy is established. Under the condition that various maintenance elements are considered, the system long-term average cost rate model is established based on the joint deterioration state space partition model of the system. Finally, the correctness of the model and the validity of the method are verified and analyzed by numerical experiments. (4) the joint decision modeling and optimization of the maintenance and spare parts inventory of the same multi-component system are studied. On the basis of modeling of deterioration state space, a numerical calculation model and solution of steady state probability of spare parts inventory are given, and the probability of maintenance activities affected by spare parts inventory state and the order and holding probability of spare parts are deduced. The joint decision model of maintenance and spare parts inventory is established, and the corresponding optimization method is given. The system composed of the same parts of the same wind turbine is studied. (5) the joint decision modeling and optimization of the maintenance and spare parts inventory of the different two-component systems are studied. On the basis of modeling of the combined space of deterioration state and spare parts inventory state, the calculation model and numerical solution of steady-state probability density function of system deterioration and spare parts inventory combination state are given, and the maintenance activities of the system are deduced. The method of calculating the probability of ordering and holding of spare parts is presented. The joint decision model of system maintenance and spare parts inventory is established, and the corresponding optimization method is given. The application of the system composed of two key components of a single wind turbine is studied.
【學(xué)位授予單位】：太原科技大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：TH17

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