本文關(guān)鍵詞： 離散型車間 生產(chǎn)過程 實時監(jiān)控 系統(tǒng)開發(fā) 系統(tǒng)集成 Web服務(wù)　出處：《西南交通大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：對于制造企業(yè)來說,車間是企業(yè)信息流、工作流、物料流和控制流的交匯點,是確保生產(chǎn)計劃順利完成的關(guān)鍵機構(gòu),在企業(yè)生產(chǎn)管理系統(tǒng)中占據(jù)重要位置。隨著企業(yè)信息化建設(shè)的不斷推進,信息技術(shù)已被廣泛應(yīng)用在企業(yè)的生產(chǎn)管理中,但由于離散型車間生產(chǎn)過程的復(fù)雜和多變,單純的引入信息技術(shù)并不能有效實現(xiàn)生產(chǎn)過程的實時監(jiān)控,所以如何實現(xiàn)生產(chǎn)過程可視化依舊是企業(yè)難以攻克的難題。因此,只有將信息技術(shù)的應(yīng)用與企業(yè)的戰(zhàn)略、業(yè)務(wù)和管理相匹配,使管理者能夠全面、快速、準(zhǔn)確地掌握車間生產(chǎn)情況,及時根據(jù)反饋信息來合理分配制造資源和調(diào)整生產(chǎn)計劃,才能真正提高企業(yè)的整體信息化水平,使企業(yè)獲得最佳的運行效益。首先,論文建立離散型車間生產(chǎn)過程模型,分析了信息和物料在各個工序之間的流動過程;通過對車間生產(chǎn)數(shù)據(jù)的分類,明確了系統(tǒng)的數(shù)據(jù)管理類型;結(jié)合精益生產(chǎn)理念總結(jié)的七大浪費,從約束理論提出的三個基本指標(biāo)的分解上切入,分析了影響生產(chǎn)系統(tǒng)運行的因素,以此確定了生產(chǎn)過程監(jiān)控指標(biāo)體系,完成了系統(tǒng)的需求分析。其次,在需求分析的基礎(chǔ)上,對系統(tǒng)的體系結(jié)構(gòu)、功能模型和網(wǎng)絡(luò)結(jié)構(gòu)進行構(gòu)建,完成了系統(tǒng)的總體設(shè)計。接著,通過對數(shù)據(jù)采集層的詳細(xì)設(shè)計,提出了基于RFID技術(shù)、人工采集和設(shè)備終端自動采集三種方式相結(jié)合的數(shù)據(jù)采集方案;通過對數(shù)據(jù)層的詳細(xì)設(shè)計,完成了系統(tǒng)數(shù)據(jù)庫的概念設(shè)計、邏輯設(shè)計和具體實現(xiàn);通過對功能層的詳細(xì)設(shè)計,完成了系統(tǒng)各功能模塊的IPO設(shè)計;通過對Web服務(wù)層的詳細(xì)設(shè)計,利用Web Service技術(shù)實現(xiàn)了與ERP系統(tǒng)的集成,完成了對生產(chǎn)系統(tǒng)的閉環(huán)控制。最后,采用Microsoft Visual Studio 2010開發(fā)軟件和C#語言,選用Microsoft SQL Server 2008 R2數(shù)據(jù)庫作為后臺數(shù)據(jù)庫,使用ADO.NET數(shù)據(jù)接口技術(shù)和GDI+圖形設(shè)備接口技術(shù)等,開發(fā)了離散型車間生產(chǎn)過程監(jiān)控管理系統(tǒng)。該系統(tǒng)實現(xiàn)了生產(chǎn)過程可視化,使管理者能夠?qū)崟r準(zhǔn)確地掌握車間生產(chǎn)情況,對企業(yè)進行信息化建設(shè)具有一定的參考價值。
[Abstract]:For manufacturing enterprises, the workshop is the intersection of enterprise information flow, workflow, material flow and control flow, and is the key organization to ensure the smooth completion of production plan. Information technology has been widely used in the production management of enterprises, but due to the complexity and variability of discrete workshop production process, with the continuous promotion of enterprise information construction, information technology has been widely used in the production management system of enterprises. The introduction of information technology alone can not effectively realize the real-time monitoring of the production process, so how to realize the visualization of the production process is still a difficult problem for the enterprise. Therefore, only the application of information technology and the strategy of the enterprise, The matching of business and management enables managers to master workshop production situation comprehensively, quickly and accurately, allocate manufacturing resources and adjust production plans according to feedback information in a timely manner, so as to truly improve the overall information level of enterprises. First of all, the paper establishes a discrete workshop production process model, analyzes the flow of information and materials between the various processes, through the classification of workshop production data, This paper defines the data management types of the system, analyzes the factors that affect the operation of the production system by analyzing the decomposition of the three basic indexes proposed by the constraint theory, and combining the seven wastes summarized by the lean production concept. Secondly, based on the requirement analysis, the system architecture, function model and network structure are constructed, and the overall design of the system is completed. Through the detailed design of the data acquisition layer, a data acquisition scheme based on RFID technology, manual acquisition and automatic acquisition of equipment terminal is proposed, and the conceptual design of the system database is completed through the detailed design of the data layer. Through the detailed design of the function layer, the IPO design of each function module of the system is completed, and the integration with the ERP system is realized by using the Web Service technology through the detailed design of the Web service layer. The closed-loop control of the production system is completed. Finally, Microsoft Visual Studio 2010 is used to develop software and C # language, Microsoft SQL Server 2008 R2 database is used as backstage database, ADO.NET data interface technology and GDI graphic equipment interface technology are used, etc. A discrete workshop production process monitoring and management system is developed, which realizes the visualization of production process, enables managers to grasp the workshop production situation in real time and accurately, and has a certain reference value for the information construction of enterprises.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F425;F273;TP315

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