順序式分區揀貨之揀貨作業績效研究

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陳偉娜(Wei-Nuo Chen) 查詢紙本館藏

畢業系所

工業管理研究所

論文名稱

順序式分區揀貨之揀貨作業績效研究
(The performance of sequential zone picking by considering the picking policies)

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摘要(中)

近年來，由於世界經濟的全球化、貿易的自由化、顧客服務水準的提升等因素，物流已成為全球企業關注的焦點，做好物流工作以降低營運成本、提高顧客服務水準並滿足顧客的要求已經成為企業強化競爭優勢的武器。揀貨作業是最耗費作業量與人力的一環，在傳統物流中心裡，揀貨作業時間佔整體物流時間的30％至40％左右。因此，有效的降低揀貨作業時間與成本，提升商品揀取與處理的作業效率，對於物流中心的營運是有決定性的影響。
本研究環境為順序式分區揀貨（Sequential zone picking），探討的問題著重在揀貨人員之間是否可以進行互助合作來提升整體的揀貨效率，不同揀貨人員會有不同的合作策略，同時分析不同的儲存策略及忙碌程度界限是否對於合作策略有所影響。吾人利用Arena11.0撰寫模擬程式，再以SPSS 12.0進行實驗分析，求得訂單完成的總揀貨時間為最小之合作策略，進而提升揀貨效率。
根據本研究顯示，不同的儲存策略下所對應之最佳的合作策略均有所差異。且本研究所提出之三項因子對於總揀貨時間皆有顯著地影響。

摘要(英)

Because of globalization, trade liberalization and the enhancement of customer service level, logistics has become a hot topic to world business. A good logistics skill would help them to reduce operation costs, improve customer service level and raise customer satisfaction. Among logistics technologies, order picking costs the most operation and labor power, the picking time is almost 30-40% of all the logistic operation in the traditional logistic center. Therefore, reducing the time and the cost of picking operation and enhancing the product selection rate effectively would be a critical point to logistics centers.
This research will focus on the mutual assistances and the picking efficiency in the sequential zone picking environment, and also analyze the affections to cooperation policies depends on different storage strategies and the levels of busy threshold. We use Arena11.0 and the statistical software SPSS 12.0 to code the simulation and do the analysis, finding the optimal cooperation policy with the fewest picking time.
According to this research, we find out that different storage strategies would correspond to different optimal cooperation policies. In addition, the research demonstrates three factors will affect the picking time.

關鍵字(中)

★ 揀貨策略
★ 模擬程式
★ 物流中心
★ 分區揀貨

關鍵字(英)

★ Distribution Center
★ Zone Picking
★ Simulation
★ Picking Policy

論文目次

目錄 i
圖目錄 iii
表目錄 v
第一章緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 2
1.4 研究環境 3
1.5 研究流程與架構 4
第二章文獻回顧 6
2.1 物流 6
2.1.1 物流的定義 6
2.1.2 物流中心介紹 7
2.1.3 物流中心揀貨設備 9
2.2 儲位管理 12
2.2.1 儲存策略 13
2.2.2 儲位指派 14
2.3 揀貨策略 17
2.3.1 揀貨員之揀貨方法 17
2.3.2 分區揀貨（Zone picking）19
2.3.3 黃金區域（Golden zone picking）21
2.4 系統模擬（Simulation）21
第三章研究方法 23
3.1 前言 23
3.2 問題說明與環境假設 23
3.3 訂單產生依據 25
3.4 儲存策略 25
3.5 揀貨人員合作策略 28
3.5.1 揀貨人員不合作 29
3.5.2 揀貨人員之忙錄程度界限（Busy Threshold；BT）31
3.5.3 揀貨人員合作 31
3.5.3.1 第一位揀貨人員僅幫後一位揀貨員 31
3.5.3.2 中間位揀貨人員僅幫前一位揀貨員 32
3.5.3.3 中間位揀貨人員僅幫後一位揀貨員 33
3.5.3.4 中間位揀貨人員先幫前再幫後(優先權：前面大於後面) 34
3.5.3.5 中間位揀貨人員先幫後再幫前(優先權：後面大於前面) 37
3.5.3.6 最後一位揀貨人員僅幫前一位揀貨員 40
第四章實驗結果與分析 42
4.1 實驗設計 42
4.1.1 實驗環境 42
4.1.2 實驗目的與方法 42
4.1.3 實驗因子 43
4.1.4 績效指標準則 44
4.2 實驗結果 44
4.3 統計分析 45
4.3.1 變異數分析 46
4.3.2 主要效果項分析 47
4.3.2.1 合作策略 48
4.3.2.2 儲存策略 49
4.3.2.3 忙碌程度界限 51
4.3.3 交互作用分析 53
4.3.3.1 儲存策略 × 合作策略 53
4.3.3.2 忙碌程度界限 × 合作策略 57
4.3.3.3 忙碌程度界限 × 儲存策略 59
4.4 實驗結論 61
第五章結論與後續研究 63
5.1 研究結論 63
5.2 未來研究建議 65
參考文獻 66

參考文獻

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指導教授

何應欽(Ying-Chin Ho)

審核日期

2009-7-17

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