復(fù)雜制造系統(tǒng)中機(jī)加—熱處理綜合調(diào)度方法
[Abstract]:With the rapid development of science and technology, the products to be produced by manufacturing enterprises are becoming more and more advanced and complex. It also needs to pay attention to the heat treatment process of the parts and the assembly relationship between the parts. How to schedule the production in this complex manufacturing system, ensure the delivery time of different parts, reduce the cost of inventory, keep the balance of production rhythm, and improve the utilization rate of heat treatment furnace will become a very challenging research problem. Based on the analysis of related research results and development trends at home and abroad, combined with the actual production situation of enterprises, the comprehensive scheduling problem of machine and heat treatment is studied deeply in this paper. The processing characteristics of machining and heat treatment processes, as well as the working characteristics of machine tools and heat treatment furnaces, are analyzed, the common points and differences between them are extracted, and the constraint relations among various production resources are analyzed at the same time. On this basis, the model of machine heat treatment comprehensive scheduling problem is proposed, and the scheduling objective function is given. In view of the proposed problem model, this paper designs a solution framework which can comprehensively dispatch machining and heat treatment processes. First of all, the heat treatment process of the part is analyzed, and the heat treatment process is divided into batches, then the mechanical processing procedure of the part is scheduled, and the heat treatment batches are arranged during the intercalation. Thus, the comprehensive scheduling of machining and heat treatment processes is realized. A scheduling algorithm based on multi-agent negotiation is designed for the scheduling process of machining process. The objects involved in the scheduling problem are modeled by the agent. The agents negotiate through a market mechanism similar to bargaining to determine the optimal process, machine tool and scheduling period. Finally, this paper designs a number of simulation data and simulation experiments to evaluate the performance of the proposed algorithm and compare it with other solutions. Simulation results verify the feasibility and effectiveness of the algorithm.
【學(xué)位授予單位】:北京理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2011
【分類(lèi)號(hào)】:TH186
【參考文獻(xiàn)】
相關(guān)期刊論文 前5條
1 曹運(yùn)紅;柔性制造系統(tǒng)、柔性制造單元和成組技術(shù)的發(fā)展及其應(yīng)用[J];飛航導(dǎo)彈;2004年05期
2 越民義,韓繼業(yè);n個(gè)零件在m臺(tái)機(jī)床上的加工順序問(wèn)題(Ⅰ)[J];中國(guó)科學(xué);1975年05期
3 金鋒;吳澄;;大規(guī)模生產(chǎn)調(diào)度問(wèn)題的研究現(xiàn)狀與展望[J];計(jì)算機(jī)集成制造系統(tǒng);2006年02期
4 劉民;;基于數(shù)據(jù)的生產(chǎn)過(guò)程調(diào)度方法研究綜述[J];自動(dòng)化學(xué)報(bào);2009年06期
5 許青松,范玉順,吳澄,陶丹;支持動(dòng)態(tài)聯(lián)盟的車(chē)間控制信息系統(tǒng)框架模型[J];信息與控制;2000年04期
相關(guān)博士學(xué)位論文 前4條
1 孫志峻;智能制造系統(tǒng)車(chē)間生產(chǎn)優(yōu)化調(diào)度[D];南京航空航天大學(xué);2002年
2 洪流;基于MAS的協(xié)調(diào)知識(shí)與協(xié)調(diào)策略研究[D];華中科技大學(xué);2007年
3 張國(guó)輝;柔性作業(yè)車(chē)間調(diào)度方法研究[D];華中科技大學(xué);2009年
4 鄭睿;鋼鐵生產(chǎn)中的批處理機(jī)作業(yè)排序問(wèn)題算法研究[D];復(fù)旦大學(xué);2009年
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