流通型倉庫 的英文怎麼說
中文拼音 [liútōngxíngcāngkù]
流通型倉庫
英文
circulating warehouse-
Grain depot ' s selection of warehouse types as per the category of distribution function
糧庫按流通功能分類的倉型選擇Ssa wm exceed wms can manage large and complicated warehouse logistic centers, and the system software itself can provide an environment that can continue on enhancing functions. ssa wm exceed wms continuously strives for perfection in technology, to promote the system to be of more expandability and prospective operation level
及如何強化譬如越庫cross - docking與流通加工中心work center之功能ssa wm exceed wms能夠管理大型復雜的倉儲物流中心，且系統軟體本身，可提供一個能持續增強功能的環境。It is used for the storage of raw material, finished products in large manufactures ' warehouse, logistic or distribution centers
廣泛應用於大型生產性企業的采購件、成品件倉庫、流通領域的大型流通中心、配送中心等。Proceed with warehouse current situation of the data, has stated the function of the data warehouse of marketing in the future emphatically ; second part introduce marketing data basic conception involved in the warehouse mainly, include some basic conception and basic operation mainly among them ; the third part to marketing data abstraction of data of the warehouse mainly, marketing data of warehouse include marketing data of database of operating etc. mainly, the data to draw according to one basic marketing basic function of company mainly, with entering commonly, round pin, storing the system the samly, this text provides detailed procedure and data ; some data in the data warehouse of marketing come from the relevant theme in addition, a series of measures including the products, taking in the customer, rival and marketing mainly ; make a more detailed explanation to the enterprise layer model of the data warehouse of marketing mainly with fourth part of this text, usually, the model of a datum warehouse includes three big basic respects mainly : conceptual model, logic model and physical model
從數據倉庫現狀入手，著重說明了未來營銷數據倉庫的作用；第二部分主要介紹了營銷數據倉庫中所涉及的基本概念，其中主要包括一些基本概念和基本操作；第三部分主要是對營銷數據倉庫中數據的提取，營銷數據倉庫中的數據主要包括操作型營銷數據庫中的數據，這部分數據主要是根據一個基本營銷公司的基本職能進行提取，和通常的進、銷、存系統一樣，本文給出了詳細的流程和數據；另外營銷數據倉庫中的一部分數據來自於營銷過程與其相關的主題，主要包括營銷的四個基本步驟和幾個基本主題（產品、客戶、競爭對手） ；本文的第四部分主要對營銷數據倉庫的企業級模型做一個比較詳細的說明，通常，一個數據倉庫的模型主要包括三個大的基本方面：概念模型、邏輯模型和物理模型。This thesis mainly researches on pattern of telecommunication management analysis and decision support in our fix - line telecommunication operation. first the construction of data warehouse is discussed, analyses the data of the base information, billing information and calling detail record of the customer, and then discuss the methods of data mining including defining the operation scope, sampling, data analysis, modeling and implementation we put focal point on the choice and design that the model of data mining, on the basis of the already studies of abroad and the actual needs of fix - line telecommunication company. three data mining models of our fix - line telecommunication operation are putted forward : customer value model, customer retention model, and customer segment model
本文對于固網通信業經營決策支持模式的探討和研究，是從企業級數據倉庫的構建出發，圍繞如何提高企業客戶細化和預測能力的問題，針對通信企業積累的大量客戶基本信息、客戶通話信息、客戶帳單信息、客戶繳欠費等數據，在數據挖掘方法論的指導下，通過業務問題范圍、選取和抽樣、探索型數據分析、建模和實施等步驟進行分析，闡述通信企業以數據倉庫為核心的數據挖掘模型選擇與設計的一般方法，提出我國固網通信運營業的三個數據挖掘應用模型:客戶分群，客戶流失和客戶價值分析。Shanghai building materials supplycompany, with 30 years of history, is one of the biggest building materials circulation enterprises in china. it owns 27 warehouses with more than 300, 000 square meters, and 7 train lines and 10 docks for sbm ' s use. the main business of the company consists of building materials, non - metal minerals, metallurgical materials, bitumen, metal materials, decoration materials, wood, coal, light, chemicals, construction hardwares, electrical machinery and so on. its annual sales volume is around 1 billion rmb
上海市建築材料供應總公司是一家具有30多年歷史的大型建材流通企業，擁有佔地30餘萬平方米的各類倉庫27座，有7條專用鐵路線和10餘座專用碼頭，主要經營各類建築材料、非金屬礦產品、冶金鑄玻搪材料、石油瀝青、金屬材料、裝飾裝潢材料、木材、煤炭、化輕、建築五金、機電產品等，年經營額近10億元。After successful construction of data warehouse system, this thesis crossly applies several theories to combine technologies of neural network and decision tree. thus a model of the analysis of customer chum is built to solve the emerging problem of customer churn from mobile communication companies
在成功構建數據倉庫系統之後，針對移動通信行業日益突出的客戶流失問題，本文採用了多種理論相互融合的思想，將神經網路和決策樹技術相結合，構建客戶流失分析模型。分享友人