本文選題：協(xié)同制造執(zhí)行系統(tǒng) + 計劃與調度�。� 參考：《南京理工大學》2012年碩士論文

【摘要】：隨著我國軍隊裝備現(xiàn)代化進程的不斷推進,信息化成為軍工制造企業(yè)發(fā)展的必然趨勢。協(xié)同制造執(zhí)行系統(tǒng)是在傳統(tǒng)MES基礎上結合協(xié)同思想發(fā)展而來的下一代車間生產(chǎn)管理系統(tǒng),是企業(yè)實現(xiàn)信息化協(xié)同制造的重要一環(huán)。因此,如何有效地構建滿足軍工離散企業(yè)需求的c-MES系統(tǒng),是重要且有待深入研究的課題。 本文在分析了c-MES系統(tǒng)的發(fā)展及國內外研究現(xiàn)狀的基礎上,對c-MES系統(tǒng)進行了需求分析,構建了面向軍工離散企業(yè)的協(xié)同制造執(zhí)行系統(tǒng)體系結構,并通過UML建模建立了軟件系統(tǒng)的功能模型。研究了基于c-MES系統(tǒng)的多車間協(xié)同計劃與調度技術,結合軍工離散企業(yè)計劃特點和調度問題分類,建立了多車間計劃調度流程,并以此為依據(jù)設計了面向多車間協(xié)同作業(yè)的協(xié)同遺傳算法,通過算例運算驗證了算法的有效性,進而對c-MES軟件系統(tǒng)計劃與調度子系統(tǒng)進行了詳細設計。研究了基于c-MES的生產(chǎn)數(shù)據(jù)采集與處理技術,通過分析車間生產(chǎn)數(shù)據(jù)類型及其采集方式,設計了多車間生產(chǎn)數(shù)據(jù)采集方案,結合c-MES總體體系結構建立了數(shù)據(jù)采集與處理子系統(tǒng)的軟件結構體系,并對多車間生產(chǎn)數(shù)據(jù)進行了統(tǒng)一分類和建模,保證了各個車間信息源的一致性,進而對數(shù)據(jù)采集與處理子系統(tǒng)進行了詳細設計。 在完成以上關鍵技術研究的基礎上,通過運用數(shù)據(jù)庫、.NET、Web Service等相關技術,結合應用企業(yè)對系統(tǒng)的實際需求,開發(fā)了協(xié)同制造執(zhí)行系統(tǒng),并通過運行實例驗證了系統(tǒng)在實際應用中的有效性與可行性。
[Abstract]:With the development of military equipment modernization, informatization has become an inevitable trend in the development of military manufacturing enterprises. Collaborative manufacturing execution system is the next generation workshop production management system developed on the basis of the traditional mes combined with the cooperative thought. It is an important part of the enterprise to realize the information collaborative manufacturing. Therefore, how to effectively construct c-MES system to meet the needs of discrete military enterprises is an important subject to be further studied. Based on the analysis of the development of c-MES system and the current research situation at home and abroad, the requirements of c-MES system are analyzed. The architecture of collaborative manufacturing execution system for military discrete enterprises is constructed, and the function model of software system is established by UML modeling. The cooperative scheduling and scheduling technology based on c-MES system is studied. Combined with the characteristics of military discrete enterprises and the classification of scheduling problems, the scheduling process of multi-shop planning is established. Based on this, a collaborative genetic algorithm for multi-shop cooperative jobs is designed. The effectiveness of the algorithm is verified by an example, and then the planning and scheduling subsystem of c-MES software system is designed in detail. The production data acquisition and processing technology based on c-MES is studied. The multi-workshop production data acquisition scheme is designed by analyzing the production data types and their collection methods. Combined with the overall architecture of c-MES, the software architecture of data acquisition and processing subsystem is established, and the unified classification and modeling of multi-workshop production data are carried out to ensure the consistency of information sources in each workshop. Then the data acquisition and processing subsystem is designed in detail. On the basis of the research of the above key technologies, through the application of database, net Web Service and other related technologies, combined with the actual needs of the application enterprise to the system, A collaborative manufacturing execution system is developed, and the effectiveness and feasibility of the system in practical application are verified by a running example.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TH166

【引證文獻】

相關碩士學位論文 前2條

1 李智;面向離散制造過程的數(shù)據(jù)采集與處理系統(tǒng)研究與設計[D];南京理工大學;2013年

2 周琳;基于本體的航天企業(yè)三維工藝指導知識表達及自組織方法研究[D];南京理工大學;2013年

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本文編號：2008893