warehouse stock management 中文意思是什麼

warehouse stock management 解釋
理貨員
  • warehouse : n 1 倉庫，貨棧。2 批發莊；大零售店。3 〈美，貶〉「福利庫」〈指收容精神病患者、老人、貧困者等的大...
  • stock : n 〈德語〉 滑雪手杖。n 1 （樹等的）干，根株，根莖。2 【園藝】砧木；苗木；原種。3 〈古語〉木塊，木...
  • management : n. 1. 辦理，處理；管理，經營；經營力，經營手腕。2. 安排；妥善對待。3. 〈the management〉〈集合詞〉（工商企業）管理部門；董事會；廠方，資方。
  1. To such centralized management as general headquarters, branch company, office, agent, warehouse, shop, shop allied, manufacturer, supplier etc., and include the sale and stock of the whole system in the overall planning, and really give play to the advantage that the chain runs

    對總部分公司辦事處代理商倉庫直營店加盟店製造商供應商等集中管理，將全系統的銷售和庫存納入統籌規劃，真正發揮連鎖運營的優勢。
  2. The paper, in order to support for alteration of enterprise data analysis requirements, provides a kind of adaptive online analysis processing and data mining model ( abbreviated dolam ), its logic structure, system frame and physical structure are presented, which enhances hominine direction and controlling mechanism, embodying in such aspects as query - driven, fuzzy data mining and dynamic interactive ability etc. the paper offers design and implementation blue print of the core of dolam - - data warehouse management tool, olap tool and summarysql tool, now, they are running in dalian international cooperation ( group ) stock ltd and have gained good effect

    四、決策敏捷依賴于dss的柔性，為增強dss的柔性，本文提出一種具有可適應的聯機分析挖掘模型dolam ，設計了它的邏輯結構、體系結構和物理實現結構。該模型加強了人的導向和控制機制，體現在查詢驅動、模糊挖掘、動態交互方面。本文給出了dolam的核心部分?數據倉庫管理工具、 olap工具、 summarysql模糊查詢挖掘工具的具體設計和實現方案，並運用它于大連國際合作（集團）股份有限公司的決策支持實踐中，取得了較好的應用效果。
  3. For guaranteeing the supply and the maintenace with the continuous and the balanced, business enterprise to must store the supplies of the certain quantity, this is the stock. that quantity is excessive, and not only take up the large quantity of warehouse area, return possibility because of the long - term put off but make the supplies damage change in character, result in wasted ; quantity over little, because of the need of undulate and provide with the machine a phenomenon for indetermination for time of delivery, may very take placing supply falls short of demand, give produce to maintain to take to lose, so that must enhance science management towards stock

    為了保證供應和維修的連續性和均衡性，企業必須儲備一定數量的物資，這就是庫存。庫存數量過多，不僅要佔用大量的倉庫面積，還可能由於長期積壓而使物資損壞變質，造成浪費；數量過少，由於需求的隨機波動及供貨單位交貨時間的不確定性，很可能發生供不應求的現象，給生產維修帶損失，因此必須加強對庫存的科學管理。
  4. For a product warehouse combination, go to the web - based inventory management application, passing the product warehouse as parameters, to allow the safety stock level to be increased

    對于產品/倉庫組合，轉到基於web的庫存管理應用程序（將產品/倉庫作為參數進行傳遞）以允許提高安全存貨水平。
  5. Lin yang machinery in order to guarantee the products produced designed can meet user ' s demands, keep improving at making technology not merely, training in talent it has to be i offer as a gift strength also, from research and development of the products to making, pursue and innovate and surmount all the way ; company implement whole product in charge of system, is it make management of " quality " cheng to implement, implement the production of " quantity " so as to the scientific method ; management system channel iso idea into, so as to ensure raw materials is it expect warehouse entry of products produce goods have sure rigorous norms in accordance with following to stock since

    琳揚機械為保證所設計生產的產品均能滿足用戶的需求，不僅在製作工藝上精益求精，在人才的培訓上亦是不余遺力，從產品的研發到製造，一路追求創新和超越；公司實施全員品管制度，落實製程「質」的管理，以科學的方法落實「量」的生產；管理制度導入iso觀念，以確保自原材料的進料到產品的入庫出貨均有一定的嚴謹規范依循。
  6. Production and management enterprises of ephedrine must establish strict warehouse rules and should set aside special - purpose stock rooms and appoint special persons for the control thereof

    麻黃素生產、經營企業必須建立嚴格的倉儲制度，要設專用庫房並指派專人管理。
  7. All in all, olam can improve the quality of data mining and help user understand the result of data mining. this paper study deeply on visual data mining, it includes : firstly, summarize the concept. application, classification and methods of visual data mining ; secondly, lucubrate the structure and implementation mechanism of olam engine, and design an prototype system of data mining based - on olam and present four process which the data go through from data warehouse to the presentation of visualization : data mining, data transform, the filtration of visualization and presentation of visualization ; thirdly, accomplish the visualization kit in prototype system, including 14 the visual component using in crm ( custom relation management ), which can be used for visualizeation of data in the telephone company, stock company, bank, and so on ; finally, study on the methods of association rules visualization, and use the visual component which is accomplished in the chaper 14 to implement them

    本論文對基於olam的可視化數據挖掘技術做了比較深入的研究，主要包括對數據挖掘可視化的概念、應用、分類和方法進行了歸納總結；深入而詳細地研究了olam引擎的結構和實現機制，並設計了一個基於olam可視化數據挖掘的系統的模型結構，提出從數據倉庫到數據的可視化展現需要經過數據挖掘、數據轉換、可視化過濾和可視化展現四個步驟；針對本論文的課題背景，實現了基於olam可視化數據挖掘系統原型的可視化展現工具包，包括14個可視化組件，能用於證券、電信、銀行等部門數據的可視化；最後，還對關聯規則的可視化展現進行了研究，並用可視化展現包中的組件和類將其實現。
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