零散揀貨環境下之分區揀貨作業問題的探討

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：68

、訪客IP：3.147.86.143

姓名

李天傑(Tian-Jie Li) 查詢紙本館藏

畢業系所

工業管理研究所

論文名稱

零散揀貨環境下之分區揀貨作業問題的探討
(The Performance of Zone Picking under Piece Picking Environment)

相關論文

★ 佈置變更專案工程的執行研究－以H公司研發單位為例	★ MIL-STD-1916、MIL-STD-105E與結合製程能力指標之抽樣檢驗計畫
★ 建構客戶導向的製造品質資訊系統--以某筆記型電腦專業代工廠商為例	★ GMP藥廠設施佈置規劃的探討--以E公司為研究對象
★ 應用Fuzzy c-Means演算法之物流中心位址決策模式研究	★ 品質資訊系統之規劃與建構 -- 以某光碟製造公司為研究對象
★ 從製程特性的觀點探討生產過程中SPC管制圖監控運用的適切性 -- 以Wafer Level 封裝公司為例	★ 六標準差之應用個案研究-以光學薄膜包裝流程改善為例
★ 利用六標準差管理提昇中小企業之製程品質-以錦絲線添加防銹蠟改善為例	★ 專業半導體測試廠MES 系統導入狀況、成果及問題之探討-以A 公司為例
★ 以RFID技術為基礎進行安全管理導入－以A公司為例	★ 如何提昇產品品質及降低成本—以光碟壓片廠A公司為例
★ ERP導入專案個案分析—以半導體封裝廠A公司為例	★ 石英元件製造業之延遲策略應用— 以T公司為研究對象
★ 十二吋晶圓廠自動化搬運系統規劃與導入—以A公司為例	★ 半導體封裝產業之生產革新改善活動-A半導體股份有限公司導入經驗探討-

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

至系統瀏覽論文 ( 永不開放)

摘要(中)

供應鏈的競爭遍及各個層面，包括產品的訂價、銷售、策略行銷、物流等都是重要的環節。其中根據研究，在物流系統之中，揀貨所耗費的相關成本佔了總成本的15~20%；故揀貨相關的作業是一項相當值得研究的議題。
揀貨系統有許多形式，最為常見的揀貨系統稱作嚴格訂單揀貨系統，是指一個揀貨人員一次負責一張訂單的揀貨方式。這種揀貨方式最大的缺點，就是揀貨人員時常必須橫跨整個揀貨區域，以揀取訂單包含的品項。而分區揀貨(Zone Picking)，一般可分為同時分區揀貨(Synchronized Zone Picking)和順序分區揀貨(Sequential Zone Picking)；分區揀貨最大的好處便是固定揀貨人員，使得揀貨人員只需要在某個區域內揀取訂單上的品項，而不必在揀取品項的過程中，耗費太多行走時間。儘管分區揀貨大幅節省了揀貨人員的行走時間，但分隔區域便會造成各個揀貨區域的工作量不平衡問題。由於分區揀貨系統具有多條揀貨走道，因此在揀取訂單的時候，會先將訂單分成數個揀貨箱，再將揀貨箱送進不同的揀貨走道進行揀取作業。由於只有當全部的揀貨箱都完成揀取作業之後，才算完成一張訂單，因此區域工作量不平衡的問題將會嚴重影響訂單的揀取時間。
本研究針對分區揀貨環境的區域不平衡問題，以品項儲位設計及訂單選取控制兩個部份，各別提出數個法則，希望降低分區揀貨系統的系統總揀貨時間及平均每張訂單的揀貨時間。本研究最後以模擬軟體Arena 11.0驗證各法則的組合下，何者的系統績效指標最佳。

摘要(英)

The competitions in supply chain are common in pricing, sales, strategic marketing, logistics. According to researches, picking related costs take 15 to 20% of all costs in logistic system. It makes picking related operations as a valuable issue to study.
There are many types in picking system, the most common one is called strict picking system. The disadvantage of strict picking system is that pickers are likely cross the entire picking zone to pick items in orders. On the other hand, the greatest advantage of zone picking is that pickers are fixed with their picking zone. It makes pickers pick their items without crossing entire picking system thus saves time a lot. Though zone picking environment save walking time dramatically, it would cause workload balancing problem in every zones.
There are several picking aisles lie in zone picking system, and zone picking system would split an order into several picking box. The picking boxes would be taken into different picking aisles to complete the picking operations. An order is said to be finished only if its picking boxes are all finished, thus the unbalancing problem would effect order complete time dramatically.
The research proposes several rules in order to solve zone unbalancing problem in zone picking environment, hoping to decrease system picking time and average order picking time in zone picking system. In the study, we make use of Arena 11.0 coding the simulation and use statistical package SPSS 13.0 analyze and compare the variable combination experience outcomes.

關鍵字(中)

★ 物流中心
★ 訂單揀取
★ 分區揀貨
★ 品項儲位設計
★ 選取訂單法則

關鍵字(英)

★ Distribution Center
★ Order Picking
★ Zone Picking
★ Item Storage Design
★ Order selection Rule

論文目次

摘要 I
目錄 IV
圖目錄 VII
表目錄 VIII
第一章緒論 1
1.1 研究背景 1
1.2 研究動機與目的 2
1.3 研究環境 4
1.4 論文架構 7
第二章文獻回顧 9
2.1 揀貨策略問題 9
2.1.1 嚴格訂單揀貨 11
2.1.2 區域揀貨 11
2.2.1 儲位指派問題 15
2.2.2 黃金區域 17
2.3 揀貨路徑規劃問題 18
2.4訂單選取 19
第三章研究問題與方法 20
3.1 方法架構與流程 20
3.2 問題說明 20
3.2.1 揀貨系統績效評估準則 21
3.3 環境假設 22
3.4 訂單產生依據 22
3.5 訂單分流 23
3.6 揀貨人員揀貨流程 24
3.6.1「第一位揀貨人員」揀貨流程 25
3.6.2「中間揀貨人員」揀貨流程 27
3.6.3「最後一位揀貨人員」揀貨流程 29
3.7 訂單合流 30
3.8 品項儲位設計問題 31
3.8.1 品項儲位設計之設計原則 31
3.8.2 品項儲位優先排序 32
3.8.3 儲位黃金區 32
3.8.3 品項儲位法則 33
3.8.3.1 橫跨法則 33
3.8.3.2 S形橫跨法則 34
3.8.3.3 同列橫跨法則 35
3.8.3.4 S形同列橫跨法則 35
3.8.3.5 依序同列橫跨法則 36
3.8.3.6 S形依序同列橫跨法則 37
3.9 訂單選取控制問題 38
3.9.1 訂單選取控制流程 39
3.9.2 訂單選取控制法則 40
3.9.2.1 隨機法則 41
3.9.2.2最小平方和法則 43
3.9.2.3最小絕對值和法則 44
3.9.2.4最大訂單平衡值法則 45
第四章實驗結果與分析 47
4.1 模擬實驗設計 47
4.1.1 實驗環境 47
4.1.2 實驗目的與方法 47
4.1.3 模擬實驗因子 48
4.1.4 績效評估指標 49
4.2 模擬實驗結果 50
4.3 ANOVA統計檢定分析 51
4.3.1 變異數分析 51
4.3.1.1 系統總完成時間 51
4.3.1.2 平均訂單完成時間 52
4.3.2 主要效果項分析 53
4.3.2.1品項儲存策略 53
4.3.2.1.1 系統總完成時間 53
4.3.2.1.2 平均訂單完成時間 54
4.3.2.2 訂單選取策略 55
4.3.2.2.1 系統總完成時間 55
4.3.2.2.2 平均訂單完成時間 56
4.4 模擬實驗結果(續) 58
4.5 ANOVA統計分析檢定(續) 59
4.5.1 變異數分析 59
4.5.1.1 系統總完成時間 59
4.5.1.2 平均訂單完成時間 60
4.5.2 主要效果項分析 60
4.5.2.1 訂單選取策略 61
4.5.2.1.1 系統總完成時間 61
4.5.2.1.2 平均訂單完成時間 62
4.5 實驗結論 63
第五章結論與後續研究建議 64
5.1 研究結論 64
5.2未來研究建議 64
參考文獻 66

參考文獻

1. 張福榮，2000，「物流管理」，五南，初版。
2. 孫海蛟、董福慶，1995，「物流中心儲位管理」，經濟部發行；機械工業雜誌總經銷，初版。
3. 劉技豐，2004，「物流中心之分區揀貨的研究」，國立中央大學工業管理研究所，碩士論文。
4. 林鴻鈞，2006，「揀貨中心揀貨策略與訂單選取之研究」，國立中央大學工業管理研究所，碩士論文。
5. 郭家佑，2007，「揀貨作業之訂單切割與訂單選取的研究」，國立中央大學工業管理研究所，碩士論文。
6. 郭宛棻，2008，「同時考量儲存與路徑策略之績效研究」國立中央大學工業管理研究所，碩士論文。
1. Askin, R. G. and Standridge, C. R., 1993, “Modeling and analysis of manufacturing system,” John Wiley & Sons, New York.
2. Ballou, R. H., 2004, “Business logistics/supply chain management,” Pretice-Hall, 5th Edition.
3. Bartholdi, J. J., Eisenstein, D. D., 1996, ”A production line that balances itself,” Operations Research, Vol. 44, No. 1, pp. 21-35.
4. Brynzer, H. and Johansson, M. I., 1996, “Storage location assignment: using the product structure to reduce order picking times,” International Journal of Production Economics, Vol. 46-47, pp. 595-603.
5. Davies, A. L., Gabbard, M. C., and Reinhold, E. F., 1983, “Storage method saves space and labor in open-package-area picking operations,” Industrial Engineering, Vol. 15(6), pp. 68-74.
6. Hausman, W. H., Schwarz, L. B., and Graves, S. C., 1976, “Optimal storage assignment in automatic warehousing systems,” Management Science, Vol. 22(6), pp. 629-638.
7. Hwang, H., and Lee, M. K., 1988, “Order batching algorithms for a man-on-board automated storage and retrieval system,” Engineering Costs and Production Economics, Vol. 13, No. 1, pp. 285-294.
8. Hwang, H., Oh, Y. H., and Cha, C. N., 2003, “A stock location rule for a low level picker-to-part system,” Engineering Optimization, Vol. 35(3), pp. 285-295.
9. Ho, Y. C., and Chien, S. P., 2006, “A comparison of two zone-visitation sequencing strategies in a distribution centre,” Computers & Industrial Engineering, Vol. 50, pp. 426-439.
10. Ho, Y. C., and Liu, C. F., 2005, “A design methodology for converting a regular warehouse into a zone-picking warehouse,” Journal of the Chinese Institute of Industrial Engineers, Vol. 22, No.4, pp.332-345.
11. Jane, C. C., 2000, “Storage location assignment in a distribution center,” International Journal of Physical Distribution and Logistics Management, Vol. 30, No. 1, pp. 55-71.
12. Jane, C. C., and Laih, Y. W., 2005, “A clustering algorithm for item assignment in a synchronized zone order picking system,” European Journal of Operational Research, Vol. 166, No. 2, pp.489-496.
13. Johnson, M. E., 1998, “The impact of sorting strategies on automated sortation system performance,” IIE Transactions, Vol. 30, pp. 67-77.
14. Jones, E. C., Battieste, T., 2004, “Golden retrieva,” Industrial Engineer, Vol. 36 No. 6, pp. 37-41.
15. Le-Duc, Tho., De, Koster M.B.M, 2005, “Determine number of zones in a pick and pack order picking system,” ERIM Report Series No. ERS-2005-029-LIS.
16. Lin, C. H., Lu I. Y., 1999, “The procedure of determining the order picking strategies in distribution center,” International Journal of Production Economics, Vol. 60-61, pp.301-307.
17. Liu, C. M., 1999, “Clustering techniques for stock location and order-picking in a distribution center,” Computers & Operations Research, Vol.26, pp. 989-1002.
18. Muppani, V. R., Adil, G. K., 2008, “A branch and bound algorithm for class based storage location assignment,” European Journal of Operational Research, Vol 189, No. 2, pp. 492-507.
19. Muppani, V. R., Adil, G. K., 2008, “Class-based storage-location assignment to minimize pick travel distance,” International Journal of Logistics: Research and Applications, Vol. 11, No.4, pp. 247-265.
20. Owyong, M., Yih, Y., 2006, “Picklist generation algorithm with order-consolidation consideration for split-case module-based fulfillment centres,” International Journal of Production Research, Vol. 44, No. 21, pp. 4529-4550.
21. Parikh, P. K., Meller, R. D., 2007, “Selecting between batch and zone order picking strategies in a distribution center,” Transportation Research Part E：Logistics and Transportation Review, Vol. 44, No. 5, pp. 696-719.
22. Petersen, C. G., 1999, “The impact of routing and storage policies on warehouse efficiency,” International Journal of Operations and Production Management, Vol. 19, No. 10, pp.1053-1064.
23. Petersen II, C. G. and Schmenner, R. W., 1999, “An evaluation of routing and volume-based storage policies in an order picking operation,” Decision Science, Vol. 30(2), pp. 481-501.
24. Petersen, C. G., 2000, “An evaluation of order picking policies for mail order companies,” Production and Operation Management, Vol. 9, No. 4, pp.100-101.
25. Petersen, C. G., 2002, “Considerations in order picking zone configuration,” International Journal of Operations & Production Management, Vol. 22(7), pp. 793-805.
26. Petersen, C. G., Aase, G., 2004, “A comparison of picking, storage, and routing policies in manual order picking,” International Journal of production economics, Vol. 92, No. 1, pp. 11-19.
27. Petersen, C. G., Heiser, D. R., 2005, “Improving order picking performance utilizing slotting and golden zone storage,” International Journal of Operations & Production Management, Vol. 25, No. 10, pp. 997-1012.
28. Petersen, C. G., Aase, G. R., and Heiser, D. R., 2004, “Improving order-picking performance through the implementation of class-based storage,” International Journal of Physical Distribution & Logistics Management, Vol. 34(7), pp. 534-544.
29. Rim, S. C., Park, I. S., 2008, “Order picking plan to maximize the order fill rate,” Computers and Industrial Engineering, Vol. 55, No. 3, pp. 557-566.
30. Rosenblatt, M. J. and Eynan, A., 1989, “Deriving the optimal boundaries for class-based automatic storage/retrieval systems,” Management Science, Vol. 35(12), pp. 1519-1524.
31. Rosenwein, M. B., 1994, “An application of cluster analysis to the problem of locating items within a warehouse,” IIE Transactions, Vol. 26(1), pp. 101-103.
32. Roodbergen, K. J., Koster, R. D., 2000, “Routing order pickers in a warehouse with a middle aisle”, European Journal of Operational Research, Vol. 133, No. 1, pp. 32-43.
33. Yu, M., Koster, M. B. M. de., 2007, “Performance approximation and design of pick-and-pass order picking systems,” Erasmus Research Institute of Management, ERS-2007-082-LIS.
34. Yu, M., Koster. M. B. M. de., 2008, “The impact of order batching and picking area zoning on order picking system performance,” European Journal of Operational Research, Vol. 10, No. 1016.

指導教授

何應欽(Ying-Chin Ho)

審核日期

2009-7-21

推文