臺灣博碩士論文加值系統

案例公司H為國內五金批發商，需要有更佳的揀貨效率提供更快速的服務以滿足客戶需求，該企業倉儲系統需要靠人工揀貨作業。因此本研究為改善H公司的倉儲揀貨作業，先統計各品項在訂單中出現的頻率高低，接著進行第一次儲位指派，依序指派頻率最高者離出入庫點愈近，頻率最低者離出入庫點愈遠。再來應用關聯規則探勘H公司銷售資料庫的產品關聯規則，找出高頻項目組後，進行第二次儲位的調整，並跟原本的倉儲環境做比較，並找出較佳的配置。使得倉儲之揀貨作業，能藉由儲區佈置的改善，達到最小化揀貨行走距離及時間而提高揀貨作業效率的目標。

The company H is a groceries wholesalers, which need better picking efficiency to provide faster service for customer demand, the warehouse of H company still rely on a manual picking form. Therefore, there is a goal to improve picking efficiency of the warehouse by this study, the first storage arrangement step is statistical frequency of each items from the order form, and then assign the highest frequency items near to I/O sequentially and lowest frequency ones farther from I/O. Then mining frequent itemsets from the transaction database of company H and make a second storage adjustment. Make compare with the original warehouse arrangement and selected preferred configuration. Then achieve the goal of reduce picking routing and time has be achieved.

摘要 I
ABSTRACT II
致謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究流程 3
1.4 研究範圍與限制 4
第二章 文獻探討 5
2.1 倉儲設計 5
2.2 儲位規劃 7
2.2.1 儲存策略 7
2.2.2 儲位指派 10
2.3 揀貨路徑策略 13
2.4 關聯規則 15
2.4.1 Apriori演算法 18
第三章 研究方法 21
3.1 研究方法與流程 21
3.2 倉儲系統規劃 22
3.2.1 倉儲形式 22
3.2.2 儲位規劃方法 24
3.2.3 揀貨路徑規劃 30
第四章 結果分析 33
4.1案例公司簡介 33
4.2基本分析 34
4.3關聯規則分析 35
4.4揀貨路徑分析 37
第五章 結論 38
5.1結論 38
5.2後續研究建議 38
參考文獻 40
附錄 44

中文部分

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