本文關鍵詞：業(yè)務主線約束型作業(yè)車間網絡瓶頸分析　出處：《組合機床與自動化加工技術》2017年09期 　論文類型：期刊論文

  更多相關文章： 業(yè)務主線 網絡分析法 瓶頸指數

【摘要】：瓶頸識別是制造單元生產管理與控制研究的基礎和關鍵,直接影響系統的有效產出和企業(yè)的整體效益。針對復雜制造環(huán)境下瓶頸辨識困難這一問題,從制造系統復雜性與復雜網絡相結合這一視角出發(fā),提出一種基于網絡分析法的車間網絡瓶頸識別方法。根據設備工裝、工藝路線、物流路徑以及產品配置等多層次生產數據,建立業(yè)務主線約束型作業(yè)車間網絡模型;采用以資源節(jié)點與連邊、加工數量、資源負載等為參數的數據結構實現對資源的網絡化映射;在考慮網絡節(jié)點對待評估節(jié)點綜合影響矩陣的基礎上,結合待評估節(jié)點本身的局域重要性定義節(jié)點的瓶頸指數,克服了其他算法中瓶頸節(jié)點識別只依賴于鄰接節(jié)點的不足。以某制造企業(yè)的裝配車間的產品總裝線為例,通過對比分析驗證了該方法的可行性和有效性。
[Abstract]:Bottleneck identification is the key and foundation of production management and control of manufacturing unit, directly affect the system efficiency and the overall efficiency of enterprises. In order to solve the problem of complex manufacturing environment bottleneck identification difficult, from the complexity of manufacturing systems and complex networks by combining this perspective, proposed a workshop network bottleneck identification method of network analysis method based on equipment, process, logistics route and product configuration of multi-level production data, establish business line network constrained job shop model; using resource nodes and edges, the quantity of processing resources load data structure for the parameters of the network mapping of resources; evaluation in the treatment of fundamental matrix the comprehensive effect of nodes to be evaluated with consideration of the network node, the node itself local importance of the definition of node bottleneck index, overcomes the other algorithm in the bottle The identification of neck nodes only depends on the shortcomings of the adjacent nodes. The feasibility and effectiveness of the method are verified by comparative analysis with the assembly line of assembly workshop of a manufacturing enterprise as an example.

【作者單位】： 新疆大學機械工程學院;
【基金】：新疆維吾爾自治區(qū)自然科學基金(2014211A008)
【分類號】：TH16
【正文快照】： 0引言現代作業(yè)車間規(guī)模正變得越來越龐大,車間生產運作越來越復雜。制造系統中存在著眾多因素形成的業(yè)務主線約束,影響著制造系統的執(zhí)行,瓶頸[1]是控制制造單元有效產出和庫存水平的關鍵,而瓶頸識別作為制造單元生產管理與控制研究的基礎和關鍵,直接影響系統的有效產出和企業(yè)，

本文編號：1383449