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產品回收及再利用考量下企業採購決策及再製造決策之研究(II)

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表 1-1 協同預測方法相關研究  作者  研究內容與重點  Aviv(2002)  透過自我共同相關(Auto-correlated)需求模型來探討聯合預 測與補貨流程之效益  Holmstrom et  al.(2002)  針對零售商與配銷商,在品類管理前提下,提出可以適用於大 規模協同合作的「商品等級-佔有率(Rank-share)」預測方法, 提供由上而下的集合銷售預測  李順益(2002)  利用灰色理論中灰預測的簡易、少數據之特性,來設計一套有 效的短期預測架構,並探討灰色預測應用於短期預測之
表 2-1 CPFR 九大流程步驟  階段  流程步驟  規劃  發展前端協議  制定聯合商業計畫  預測  銷售  預測  制定銷售預測  界定找出影響銷售預測之例外狀況,並列出例外商品項目  針對例外商品項目,協同解決該例外狀況  訂單  預測  制定訂單預測  界定找出影響訂單預測之利外狀況,並列出例外商品項目  針對例外商品項目,協同解決該例外狀況  補貨  產生訂單  【資料來源:http://www.vics.org/】
圖 2-3 離散重組示意圖  二、 中間產物型  中間產物主要是利用加權平均的概念運算,如下圖中中間產物運算子 {0.4,0.3,0.6,0.6,.5}意味著新子代的各個變數的解是經由父代依比例產生; child 中的第一個變數 11.2 即是 10 × 0
圖 2-7 Serviceable and Recoverable Stock Corresponding to the (1,R)
+7

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