【摘要】：再制造是將廢舊產(chǎn)品制造成“如新品一樣好”的再制造產(chǎn)品的再循環(huán)過程，對緩解資源短缺和資源浪費的矛盾，保護(hù)生態(tài)環(huán)境，具有重要的現(xiàn)實意義。論文結(jié)合國家自然科學(xué)基金“廢舊機(jī)電產(chǎn)品再制造系統(tǒng)不確定性工藝規(guī)劃與生產(chǎn)調(diào)度問題研究”（項目編號：51105395），對再制造工藝規(guī)劃中的廢舊零部件分類、再制造工藝路線等問題展開研究。 首先，對國內(nèi)外再制造、再制造工藝規(guī)劃的發(fā)展現(xiàn)狀和發(fā)展趨勢進(jìn)行綜述與分析；分析廢舊零部件的不確定性，建立一種包含再制造工藝規(guī)劃任務(wù)層、再制造工藝規(guī)劃關(guān)鍵技術(shù)層、再制造工藝規(guī)劃支撐層等三個層次的再制造工藝規(guī)劃體系結(jié)構(gòu)，并進(jìn)一步分析不確定性對再制造工藝規(guī)劃的影響。 其次，結(jié)合廢舊零部件常見失效類型分析，建立一種綜合考慮廢舊損壞形式、損壞程度等特征的廢舊零部件分類指標(biāo)體系；基于此，建立一種基于模糊聚類的廢舊零部件歸類方法，并把該方法應(yīng)用到廢舊機(jī)床主軸分類中。 再次，針對再制造工藝路線的不確定性問題，引入GERT圖方法，建立一種基于GERT圖的再制造工藝路線模型，該模型可描述各廢舊零部件的所有可能工藝路線，并可建立工藝的概率分支與各工序加工時間分布函數(shù)；通過信號流圖以及矩母函數(shù)對模型進(jìn)行求解，能得到廢舊零部件到達(dá)某一節(jié)點的概率與期望時間；結(jié)合廢舊機(jī)床主軸再制造工藝，對所建立模型進(jìn)行驗證分析。 然后，針對基于GERT圖的廢舊零部件工藝路線模型中工藝概率不確定性問題，建立一種基于貝葉斯網(wǎng)的GERT圖再制造工藝概率參數(shù)機(jī)器學(xué)習(xí)模型，并將該方法應(yīng)用到廢舊機(jī)床主軸再制造工藝概率參數(shù)學(xué)習(xí)實踐中。 最后，，結(jié)合重慶機(jī)床集團(tuán)再制造實踐，采用Arena仿真軟件對基于GERT圖的廢舊機(jī)床主軸再制造工藝路線模型進(jìn)行仿真驗證；同時，采用Matlab的貝葉斯工具對基于貝葉斯網(wǎng)的GERT圖再制造工藝概率參數(shù)學(xué)習(xí)模型進(jìn)行計算。
[Abstract]:Remanufacturing is a recycling process in which waste and used products are manufactured as "as good as new products". It is of great practical significance to alleviate the contradiction between the shortage of resources and the waste of resources and to protect the ecological environment. Combined with the National Natural Science Foundation of China "Research on uncertain process Planning and production scheduling of waste Mechanical and Electrical products remanufacturing system" (item number: 51105395), the paper classifies waste parts in remanufacturing process planning. Research on remanufacturing process route and so on. Firstly, the development status and trend of remanufacturing and remanufacturing process planning at home and abroad are summarized and analyzed. The uncertainty of waste parts is analyzed, and a system structure of remanufacturing process planning is established, which includes the task layer of remanufacturing process planning, the key technology layer of remanufacturing process planning, and the support layer of remanufacturing process planning. The influence of uncertainty on remanufacturing process planning is further analyzed. Secondly, based on the analysis of common failure types of waste parts, a classification index system of waste parts is established, which considers the characteristics of damage form and damage degree. Based on this, a method of classifying waste parts based on fuzzy clustering is established, and the method is applied to the classification of waste machine tool spindle. Thirdly, aiming at the uncertainty of remanufacturing process route, GERT diagram method is introduced to establish a remanufacturing process route model based on GERT diagram, which can describe all possible process routes of waste parts and components. The probability branch of the process and the distribution function of the processing time of each process can be established. By solving the model by signal flow diagram and moment generating function, the probability and expected time of waste parts reaching a certain node can be obtained, and the model is verified and analyzed by combining with the remanufacturing process of the spindle of waste machine tool. Then, aiming at the uncertainty of process probability in the process route model of waste parts based on GERT diagram, a machine learning model of GERT remanufacturing process probability parameters based on Bayesian network is established. The method is applied to the learning practice of the process probability parameters of the spindle remanufacturing of the waste machine tool. Finally, combined with the remanufacturing practice of Chongqing Machine tool Group, Arena simulation software is used to verify the remanufacturing process route model of waste machine tool spindle based on GERT diagram. At the same time, the Bayesian tool of Matlab is used to calculate the probability parameter learning model of GERT remanufacturing process based on Bayesian network.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP181;TH16

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