面向服務(wù)的再制造回收決策與生產(chǎn)調(diào)度研究
本文選題:面向服務(wù) + 再制造模式; 參考:《長(zhǎng)安大學(xué)》2017年碩士論文
【摘要】:綠色再制造作為循環(huán)經(jīng)濟(jì)的重要組成部分,具有良好的節(jié)能、節(jié)材和環(huán)保效益,具有重要的理論價(jià)值和研究意義。本文結(jié)合我國(guó)再制造產(chǎn)業(yè)發(fā)展的實(shí)際,針對(duì)傳統(tǒng)再制造模式下舊件小批量個(gè)性化生產(chǎn)的現(xiàn)狀,提出了面向服務(wù)的再制造模式,并對(duì)其核心技術(shù)問(wèn)題—再制造毛坯的回收決策與生產(chǎn)調(diào)度進(jìn)行了研究。首先,對(duì)比分析了面向服務(wù)的再制造模式與傳統(tǒng)再制造模式的區(qū)別,結(jié)合面向服務(wù)的再制造模式的概念模型和優(yōu)勢(shì)特征闡述了這一模式的內(nèi)涵;并指出了這一模式的實(shí)施路徑。其次,通過(guò)考慮產(chǎn)品在服役階段的維修和再制造決策問(wèn)題,以產(chǎn)品原始生命周期內(nèi)單位時(shí)間的服役成本最小為優(yōu)化目標(biāo),考慮再制造成本服從指數(shù)分布的特性,利用威布爾分布來(lái)表征失效率函數(shù),通過(guò)MATLAB優(yōu)化工具箱來(lái)逼近目標(biāo)函數(shù)的最優(yōu)解,并以徐工XE80A型挖掘機(jī)再制造時(shí)機(jī)的確定為例,證明了所建決策模型的可行性。然后,設(shè)計(jì)了面向服務(wù)的制造/再制造集成供應(yīng)鏈物流網(wǎng)絡(luò):考慮了舊件的回收量和再制造率的不確定性特征,建立了混合整數(shù)非線性規(guī)劃模型,對(duì)回收站點(diǎn)進(jìn)行了優(yōu)化部署,并合理分配了集成中心的物流量,使得原始設(shè)備制造商逆向物流網(wǎng)絡(luò)的運(yùn)營(yíng)成本最小。最后,基于再制造生產(chǎn)實(shí)踐,對(duì)再制造修復(fù)加工時(shí)間進(jìn)行了模糊處理,并考慮了不同工序之間的存儲(chǔ)策略,建立了可批量生產(chǎn)的流水車(chē)間調(diào)度模型,設(shè)計(jì)了求解該調(diào)度模型的遺傳算法,實(shí)例驗(yàn)證了模型和算法的有效性和可行性。
[Abstract]:As an important part of circular economy, green remanufacturing has good energy saving, material saving and environmental protection benefits, and has important theoretical value and research significance. Based on the development of China's remanufacturing industry and the current situation of small batch individualized production of old parts under the traditional remanufacturing mode, a service-oriented remanufacturing model is proposed in this paper. The core technical problem of remanufacturing blank recovery decision and production scheduling is also studied in this paper. Firstly, the difference between the service-oriented remanufacturing model and the traditional remanufacturing mode is analyzed, and the connotation of the service-oriented remanufacturing model is expounded with the conceptual model and the advantages of the service-oriented remanufacturing model, and the implementation path of the model is pointed out. Secondly, considering the maintenance and remanufacturing decision of the product in the service stage, taking the minimum service cost per unit time in the original life cycle of the product as the optimization goal, considering the characteristics of the exponential distribution of the remanufacturing cost service. The failure rate function is represented by Weibull distribution, and the optimal solution of the objective function is approached by MATLAB optimization toolbox. The feasibility of the decision model is proved by taking the determination of the remanufacturing opportunity of Xugong XE80A excavator as an example. Then, a service-oriented integrated manufacturing / remanufacturing supply chain logistics network is designed. Considering the uncertain characteristics of the recovery and remanufacturing rate of old parts, a mixed integer nonlinear programming model is established, and the optimal deployment of the recovery station is carried out. The logistics flow of the integration center is allocated reasonably to minimize the operating cost of the original equipment manufacturer reverse logistics network. Finally, based on the practice of remanufacturing, the remanufacturing repair processing time is fuzzy treated, and the storage strategy between different processes is considered, and the flow shop scheduling model of batch production is established. A genetic algorithm for solving the scheduling model is designed, and the effectiveness and feasibility of the model and algorithm are verified by an example.
【學(xué)位授予單位】:長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:F424
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 王國(guó)慶;蔣朝陽(yáng);;淺談對(duì)生產(chǎn)調(diào)度認(rèn)識(shí)[J];管理觀察;2009年16期
2 廖今朝 ,閆晨龍 ,趙振強(qiáng) ,葉仕蓉;新形勢(shì)下油田生產(chǎn)調(diào)度現(xiàn)代化管理模式探索[J];經(jīng)濟(jì)師;2005年07期
3 余建軍;張定超;周銘新;;生產(chǎn)調(diào)度研究綜述[J];中國(guó)制造業(yè)信息化;2009年17期
4 吳孝玲;尹顯明;;基于MES的智能生產(chǎn)調(diào)度系統(tǒng)研究與實(shí)現(xiàn)[J];機(jī)械;2010年12期
5 唐海波;葉春明;馬慧民;吳斌;;干擾管理在生產(chǎn)調(diào)度中的應(yīng)用綜述[J];上海電機(jī)學(xué)院學(xué)報(bào);2012年03期
6 盧向南;生產(chǎn)調(diào)度決策模型研究[J];浙江大學(xué)學(xué)報(bào)(人文社會(huì)科學(xué)版);1999年06期
7 郭清華;;如何做一名合格的生產(chǎn)調(diào)度員[J];啤酒科技;2007年07期
8 趙寧;董紹華;丁文英;馮愛(ài)蘭;;人機(jī)協(xié)同的生產(chǎn)調(diào)度實(shí)驗(yàn)平臺(tái)[J];工業(yè)工程;2008年01期
9 向明學(xué);;淺談如何提升生產(chǎn)調(diào)度部門(mén)的執(zhí)行力[J];科技傳播;2009年08期
10 王超;劉階萍;常偉濤;趙軍;;不確定條件下的作業(yè)車(chē)間生產(chǎn)調(diào)度綜述[J];裝備制造技術(shù);2011年04期
相關(guān)會(huì)議論文 前10條
1 寇從芝;;基于無(wú)線網(wǎng)絡(luò)的生產(chǎn)調(diào)度軟件的設(shè)計(jì)與開(kāi)發(fā)[A];2010'中國(guó)礦業(yè)科技大會(huì)論文集[C];2010年
2 鄧和;;煉鋼生產(chǎn)調(diào)度計(jì)算機(jī)的實(shí)現(xiàn)[A];中國(guó)計(jì)量協(xié)會(huì)冶金分會(huì)2008年會(huì)論文集[C];2008年
3 陳倩倩;陳業(yè)華;;非集成供應(yīng)鏈產(chǎn)品定價(jià)與能力計(jì)劃的補(bǔ)償合約協(xié)調(diào)[A];中國(guó)系統(tǒng)工程學(xué)會(huì)第十八屆學(xué)術(shù)年會(huì)論文集——A02管理科學(xué)[C];2014年
4 張朝明;張鐳;;充分發(fā)揮生產(chǎn)調(diào)度在監(jiān)獄露天煤礦中的職能[A];現(xiàn)代化露天開(kāi)采與可持續(xù)發(fā)展——全國(guó)露天采礦技術(shù)學(xué)術(shù)交流會(huì)論文集[C];2005年
5 鄧和;;煉鋼生產(chǎn)調(diào)度計(jì)算機(jī)的實(shí)現(xiàn)[A];2008全國(guó)第十三屆自動(dòng)化應(yīng)用技術(shù)學(xué)術(shù)交流會(huì)論文集[C];2008年
6 王家^,
本文編號(hào):2004838
本文鏈接:http://sikaile.net/guanlilunwen/gongyinglianguanli/2004838.html