多品種小批量機加車間生產任務執(zhí)行情況可視化動態(tài)監(jiān)控系統(tǒng)研究及應用
發(fā)布時間:2018-07-25 20:46
【摘要】:隨著市場競爭日益激烈以及客戶個性化多樣化需求的不斷提高,多品種小批量加工生產已逐漸成為廣大機加車間的主要生產模式。多品種小批量機加車間生產過程涉及的加工設備數量多,工藝路線復雜,受資源有限性影響較大,具有隨機性、動態(tài)性、不確定性、多目標性等特點。而機加車間通常是采取二維圖表和數據報表的方式跟蹤監(jiān)控生產任務執(zhí)行情況,導致車間監(jiān)控能力不足,可視化程度較低、生產進度信息實時性差,嚴重影響了生產調度優(yōu)化和生產優(yōu)化配置等問題。因此,機加車間迫切需要一種能動態(tài)顯示大量底層工作信息,直觀了解生產任務執(zhí)行情況,準確掌握產品生產動態(tài)的可視化動態(tài)監(jiān)控系統(tǒng),使企業(yè)管理層能動態(tài)掌握車間生產信息,,合理分配制造資源,及時調整生產計劃,達到提高企業(yè)生產效率和制造水平的目的。本文結合多品種小批量機加車間進行生產執(zhí)行情況可視化動態(tài)監(jiān)控的困難和需求,對機加車間生產執(zhí)行情況可視化動態(tài)監(jiān)控的方法及其支持系統(tǒng)進行了探討與研究。 首先,在分析了多品種小批量機加車間生產任務執(zhí)行情況可視化監(jiān)控現狀和需求的基礎上,提出了基于flexsim仿真軟件的車間生產執(zhí)行情況可視化監(jiān)控思想,并研究構建了該系統(tǒng)的體系結構、功能結構、運行模式。 其次,建立了基于Flexsim的機加車間生產執(zhí)行情況動態(tài)監(jiān)控系統(tǒng)的實現的總體技術框架,并對基于XML的系統(tǒng)間數據集成和共享機制,基于擴展隨機高級判斷Petri網(ESHLEP-N)的沖壓機器關系建模技術以及基于flexsim的車間生產執(zhí)行情況虛擬仿真實現技術進行了研究,在此基礎上對構建沖壓車間生產任務執(zhí)行情況可視化監(jiān)控系統(tǒng)進行了研究。 最后,基于以上研究,結合重慶某汽配企業(yè)機加車間的具體需求,設計和開發(fā)一種多品種小批量機加車間生產任務執(zhí)行情況可視化監(jiān)控系統(tǒng),并在該企業(yè)進行了實施和應用,取得了良好的應用效果。
[Abstract]:With the increasingly fierce competition in the market and the increasing demand of individual customers, multi-variety and small-batch production has gradually become the main production mode of the general machine processing workshop. The production process of multi-variety and small-batch machining workshop involves a large number of processing equipment, complex process route, and is greatly influenced by limited resources. It has the characteristics of randomness, dynamics, uncertainty, multi-objective and so on. The machine workshop usually uses two-dimensional charts and data reports to track and monitor the implementation of production tasks, which leads to insufficient monitoring ability, low visualization, and poor real-time production progress information. The problems such as production scheduling optimization and production optimization configuration are seriously affected. Therefore, there is an urgent need for a visual dynamic monitoring system that can dynamically display a large number of underlying work information, intuitively understand the execution of production tasks, and accurately grasp the production dynamics of products. The management of the enterprise can grasp the workshop production information dynamically, allocate the manufacturing resources reasonably, adjust the production plan in time, and achieve the purpose of improving the production efficiency and manufacturing level of the enterprise. According to the difficulties and requirements of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop, this paper discusses and studies the method and supporting system of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop. Firstly, on the basis of analyzing the present situation and demand of visual monitoring of production task in multi-variety and small-batch machine adding workshop, the idea of visual monitoring and control of workshop production execution based on flexsim simulation software is put forward. The architecture, function structure and operation mode of the system are also studied and constructed. Secondly, the overall technical framework of the implementation of the dynamic monitoring system for the production execution of the machine and plant based on Flexsim is established, and the mechanism of data integration and sharing among the systems based on XML is analyzed. The relationship modeling technology of stamping machine based on extended stochastic high-level judgment Petri net (ESHLEP-N) and the virtual simulation technology of workshop production execution based on flexsim are studied. On the basis of this, the visual monitoring system of production task in stamping workshop is studied. Finally, based on the above research and combined with the specific needs of the machine processing workshop of a certain automobile parts enterprise in Chongqing, a visual monitoring system for the implementation of production tasks in a multi-variety and small batch machining workshop is designed and developed, and the system is implemented and applied in this enterprise. Good results have been obtained.
【學位授予單位】:重慶大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:TH186;TP277
本文編號:2145038
[Abstract]:With the increasingly fierce competition in the market and the increasing demand of individual customers, multi-variety and small-batch production has gradually become the main production mode of the general machine processing workshop. The production process of multi-variety and small-batch machining workshop involves a large number of processing equipment, complex process route, and is greatly influenced by limited resources. It has the characteristics of randomness, dynamics, uncertainty, multi-objective and so on. The machine workshop usually uses two-dimensional charts and data reports to track and monitor the implementation of production tasks, which leads to insufficient monitoring ability, low visualization, and poor real-time production progress information. The problems such as production scheduling optimization and production optimization configuration are seriously affected. Therefore, there is an urgent need for a visual dynamic monitoring system that can dynamically display a large number of underlying work information, intuitively understand the execution of production tasks, and accurately grasp the production dynamics of products. The management of the enterprise can grasp the workshop production information dynamically, allocate the manufacturing resources reasonably, adjust the production plan in time, and achieve the purpose of improving the production efficiency and manufacturing level of the enterprise. According to the difficulties and requirements of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop, this paper discusses and studies the method and supporting system of visualized dynamic monitoring of production execution in multi-variety and small-batch machining workshop. Firstly, on the basis of analyzing the present situation and demand of visual monitoring of production task in multi-variety and small-batch machine adding workshop, the idea of visual monitoring and control of workshop production execution based on flexsim simulation software is put forward. The architecture, function structure and operation mode of the system are also studied and constructed. Secondly, the overall technical framework of the implementation of the dynamic monitoring system for the production execution of the machine and plant based on Flexsim is established, and the mechanism of data integration and sharing among the systems based on XML is analyzed. The relationship modeling technology of stamping machine based on extended stochastic high-level judgment Petri net (ESHLEP-N) and the virtual simulation technology of workshop production execution based on flexsim are studied. On the basis of this, the visual monitoring system of production task in stamping workshop is studied. Finally, based on the above research and combined with the specific needs of the machine processing workshop of a certain automobile parts enterprise in Chongqing, a visual monitoring system for the implementation of production tasks in a multi-variety and small batch machining workshop is designed and developed, and the system is implemented and applied in this enterprise. Good results have been obtained.
【學位授予單位】:重慶大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:TH186;TP277
【引證文獻】
相關期刊論文 前1條
1 邢秀紅;;基于可視化監(jiān)控軟件的設計與開發(fā)[J];硅谷;2013年09期
本文編號:2145038
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