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姓名 張靜文(Ching-Wen Chang)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 摘取式順序分區揀貨系統之品項儲位分配與播種式 揀貨系統 之訂單儲位分配之研究
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摘要(中) 隨著網路科技的普及與發展,加上硬體設施、電子通訊設備等在外觀及性能的加速進步,人們對網路的使用率大幅提高,這也連帶改變了人們的消費模式,透過網路購物帶來的便利性,省去自行出門採購所耗費的時間,此也助長了網路購物的崛起與普及,伴隨這一發展,物流作業越來越重要,隨著業務量擴張,物流業者除了替換舊有的硬體設施外,也必須以更有效率的方式作業,而在物流中心裡,揀貨這項作業就佔了最大一部分的時間成本,傳統人力揀貨的方式,若是能以系統性方法將之提升效率,便能減少浪費、創造更多利潤,因此,本研究欲探討兩種揀貨作業系統:摘取式揀貨系統、播種式揀貨系統,並針對其第三方B2C電子商務物流(簡稱第三方電子商務物流)服務,找出適合的揀貨系統、方法與解決揀貨相關問題。
摘要(英) With the popularity and development of network technology, coupled with the accelerated improvement of the appearance and performance of hardware facilities and electronic communication equipment, the use of the Internet has increased dramatically, which has also changed the consumption pattern of people. The convenience brought by road shopping saves the time spent on self-purchasing, which also contributes to the rise and popularity of online shopping. With this development, logistics operations are becoming more and more important. Also following the expansion of business, logistics operators In addition to replacing the old hardware facilities, it must also operate in a more efficient manner. In the logistics center, the picking operation accounts for the largest part of the time cost. If the traditional manpower picking method can A systematic approach to improve efficiency can reduce waste and create more profits. Therefore, this study is to explore two sorting systems: picking picking systems, seed picking systems, and targeting third-party B2C. E-commerce logistics (referred to as third-party e-commerce logistics) services, find suitable picking systems, methods and solve problems related to picking.
關鍵字(中) ★ 物流
★ 摘取式揀貨
★ 播種式揀貨
關鍵字(英) ★ Logistics
★ Pick-to-light
★ Put-to-light
論文目次 摘要 i
Abstract ii
圖目錄 v
表目錄 vi
第1章 緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 3
1.4 研究環境與假設 3
1.4.1 研究環境 3
1.4.2 揀貨相關速度假設 7
1.4.3 品項需求假設 7
1.5 研究方法說明 7
1.6 論文架構 9
第2章 文獻探討 11
2.1 物流 12
2.1.1 物流的定義 12
2.1.2 揀貨路徑策略 13
2.2 揀貨作業 18
2.2.1 揀貨作業的概念及方式 18
2.2.2 揀貨路徑策略 21
2.2.3 摘取式揀貨系統 26
2.2.4 播種式揀貨系統 27
2.3 儲位規劃 28
2.3.1 儲存策略 29
2.3.2 儲位指派 30
2.3.3 儲存佈置 35
第3章 研究方法 38
3.1 摘取式揀貨系統 38
3.1.1 品項優先順序 38
3.1.2 品項配置方式 39
3.1.3 摘取式揀貨流程 42
3.2 播種式揀貨系統 43
3.2.1 訂單優先順序 43
3.2.2 儲位分配法則 43
3.2.3 播種式揀貨流程 46
3.3 模擬系統時間計算 47
第4章 實驗設計與分析 49
4.1 訂單與品項假設 49
4.2 摘取式揀貨系統之實驗環境與假設 50
4.2.1 摘取式系統實驗因子 52
4.3 播種式揀貨系統之實驗環境與假設 53
4.3.1 播種式系統實驗因子 55
4.4 統計結果分析 55
4.4.1 摘取式揀貨系統之結果分析 55
4.4.2 播種式揀貨系統之結果分析 65
第5章 結論與建議 81
5.1 結論 81
5.1.1 摘取式揀貨系統 81
5.1.2 播種式揀貨系統 82
5.2 後續研究建議 85
參考文獻 86
中文文獻 86
英文文獻 87
參考文獻 中文文獻
1. 資策會產業情報研究所(MIC)(2018),【網購大調查系列一】日常購物頻率 網購已達45%,取得日期: 2018/3/15取自: https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=488
2. 江偉銘,2010,「具途程彈性之分區揀貨系統的揀貨作業探討」,國立中央大學工業管理研究所,碩士論文。
3. 呂錦山、王翊和(2010),國際物流與供應鏈管理,滄海出版社,台中。
4. 周士俊,2000,「塔布搜尋法在物流中心人工揀貨區揀貨問題之研究」,元智大學工業工程研究所,碩士論文。
5. 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。
6. 孫海皎 and 董福慶 (1995). 物流中心儲位管理, 經濟部商業自動化系列叢書.
7. 郭俊威,(2012),具不同功能 I/O 點之分區揀貨倉庫的揀貨路徑發展與比較. 中央大學工業管理研究所學位論文,1-115.
8. 陳世寰(2010),在順序式分區揀貨環境下相鄰區域合作方法之探討,中央大學工業管理所,碩士論文。
9. 陳偉娜(2009),順序式分區揀貨之揀貨作業績效研究,中央大學工業管理所,碩士論文。
10. 張簡復中(2010),「物流管理」,新文京開發,台北,二版
11. 楊雅鈞 (2007). 支援儲位管理作業之儲位規劃與儲位調整模式.
12. 劉技豐,2004,「物流中心之分區揀貨的研究物流中心之分區揀貨的研究」,中央大學工業管理研究所,碩士論文。
13. 賴順良 「物流中心之訂單選取與揀貨路徑規劃的研究」,國立中央大學工業管理研究所,碩士論文。
英文文獻
1. Anderson, C., Boomsma, J.J., & Bartholdi III, J.J. (2002). Task partitioning in insect societies: bucket brigades. Insectes Sociaux, 49(2), 171-180.
2. Angeloudis, P., & Bell, M. G. (2010). An uncertainty-aware AGV assignment algorithm for automated container terminals. Transportation Research Part E: Logistics and Transportation Review, 46(3), 354-366.
3. Atmaca, E. and A. Ozturk (2013). "Defining order picking policy: A storage assignment model and a simulated annealing solution in AS/RS systems." Applied Mathematical Modelling 37(7): 5069-5079.
4. Bozer, Y. A., & Srinivasan, M. M. (1992). Tandem AGV systems: a partitioning algorithm and performance comparison with conventional AGV systems. European Journal of operational research, 63(2), 173-191.
5. Corréa, A. I., Langevin, A., & Rousseau, L. M. (2007). Scheduling and routing of automated guided vehicles: A hybrid approach. Computers & operations research, 34(6), 1688-1707.
6. Ene, S. and N. Öztürk (2012). "Storage location assignment and order picking optimization in the automotive industry." The International Journal of Advanced Manufacturing Technology 60(5): 787-797.
7. Fontana, M. E. and C. A. V. Cavalcante (2014). "Use of Promethee method to determine the best alternative for warehouse storage location assignment." The International Journal of Advanced Manufacturing Technology 70(9): 1615-1624.
8. Gagliardi, J.-P., J. Renaud and A. Ruiz (2012). "On storage assignment policies for unit-load automated storage and retrieval systems." International Journal of Production Research 50(3): 879-892.
9. Goetschalckx, M. and H. D. Ratliff (1990). "Shared storage policies based on the duration stay of unit loads." Management Science 36(9): 1120-1132.
10. Gong, Y., & De Koster, R. (2011). A review on stochastic models and analysis of warehouse operations. Logistics Research, 3(4), 191–205.
11. Grosse, E.H., & Glock, C.H. (2015). The effect of worker learning on manual order picking processes. International Journal of Production Economics, 170, 882-890.
12. Grosse, E.H., Glock, C.H., & Neumann, W.P. (2017). Human factors in order picking: a content analysis of the literature. International Journal of Production Research, 55(5), 1260-1276.
13. Grosse, E.H., Glock, C.H., & Neumann, W.P. (2017). Human factors in order picking: a content analysis of the literature. International Journal of Production Research, 55(5), 1260-1276.
14. Gu, J., Goetschalckx, M., & McGinnis, L.F. (2007). Research on warehouse operation: A comprehensive review. European journal of operational research, 177(1), 1-21.
15. Heragu *, S. S., L. Du, R. J. Mantel and P. C. Schuur (2005). "Mathematical model for warehouse design and product allocation." International Journal of Production Research 43(2): 327-338.
16. Hermann, M., Pentek, T., & Otto, B. (2016, January). Design principles for industrie 4.0 scenarios. In System Sciences (HICSS), 2016 49th Hawaii International Conference on (pp. 3928-3937). IEEE.
17. Ho, Y.C., & Lin, J.W. (2017). Improving order-picking performance by converting a sequential zone-picking line into a zone-picking network. Computers & Industrial Engineering, 113, 241-255.
18. Ho, Y.C., & 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, 22(4), 332-345.
19. Hunter, G. L., & Goebel, D. J. (2008). Salespersons’ information overload: Scale development, validation, and its relationship to salesperson job satisfaction and performance. Journal of Personal Selling & Sales Management, 28(1), 21-35
20. Hwang, H., Oh, Y. H., & Lee, Y. K. (2004). An evaluation of routing policies for order-picking operations in low-level picker-to-part system. International Journal of Production Research, 42(18), 3873-3889.
21. Hwang, H., Oh, Y. H., & Lee, Y. K. (2004). An evaluation of routing policies for order-picking operations in low-level picker-to-part system. International Journal of Production Research, 42(18), 3873-3889.
22. Jane, C.-C. and Y.-W. Laih (2005). "A clustering algorithm for item assignment in a synchronized zone order picking system." European Journal of Operational Research 166(2): 489-496.
23. Jewkes, E., C. Lee and R. Vickson (2004). "Product location, allocation and server home base location for an order picking line with multiple servers." Computers & Operations Research 31(4): 623-636.
24. K.Balaji , V.S.Senthil Kumar (2014). Multicriteria Inventory ABC Classification in an Automobile Rubber Components Manufacturing Industry. Procedia CIRP 17, 463 – 468.
25. Kasemset, C. and C. Rinkham (2011). Warehouse storage assignment: The case study of camera and lense manufacturer. 2011 IEEE International Conference on Industrial Engineering and Engineering Management.
26. Kofler, M., A. Beham, S. Wagner and M. Affenzeller (2015). Robust Storage Assignment in Warehouses with Correlated Demand. Computational Intelligence and Efficiency in Engineering Systems. G. Borowik, Z. Chaczko, W. Jacak and T. Łuba. Cham, Springer International Publishing: 415-428.
27. Larco, J. A., R. de Koster, K. J. Roodbergen and J. Dul (2016). "Managing warehouse efficiency and worker discomfort through enhanced storage assignment decisions." International Journal of Production Research: 1-16.
28. Larco, J. A., R. de Koster, K. J. Roodbergen and J. Dul (2016). "Managing warehouse efficiency and worker discomfort through enhanced storage assignment decisions." International Journal of Production Research: 1-16.
29. Mantey, Carrie. 2016. “The Case for Warehouse Automation”. Supply & Demand Chain Executive, June: 36-37.
30. Marchet, G., Melacini, M., & Perotti, S. (2015). Investigating order picking system adoption: A case-study-based approach. International Journal of Logistics Research and Applications, 18(1), 82–98. doi:10.1080/13675567.2014.945400
31. Melacini, M., Perotti, S., & Tumino, A. (2011). Development of a framework for pick-and-pass order picking system design. The International Journal of Advanced Manufacturing Technology, 53(9), 841-854.
32. Möller, K. K., & Törrönen, P. (2003). Business suppliers′ value creation potential: A capability-based analysis. Industrial Marketing Management, 32(2), 109-118.
33. Nick Carey. (2005) Aspelin, Karen. Establishing Pedestrian Walking Speeds. Portland State University.
34. Nils Boysen, Rene de Koster, Felix Weidinger (2018). Warehousing in the e-commerce era: A survey. European Journal of Operational Research.
35. Petersen II, C. G. (2000). An evaluation of order picking policies for mail order companies. Production & Operations Management, 9(4), 319-335.
36. Petersen, C. G. (1997). An evaluation of order picking routeing policies. International Journal of Operations & Production Management, 17(11), 1098-1111.
37. Petersen, C. G., & Aase, G. (2004). A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92(1), 11-19.
38. Petersen, C. G., & Aase, G. (2004). A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92(1), 11-19. 8.
39. Rao, S. S., & Adil, G. K. (2013). Class-based storage with exact S-shaped traversal routeing in low-level picker-to-part systems. International Journal of Production Research, 51(16), 4979-4996.
40. Roodbergen, K. J., & Koster, R. (2001). Routing methods for warehouses with multiple cross aisles. International Journal of Production Research, 39(9), 1865-1883.
41. Sharma, S. and B. Shah (2015). "A proposed hybrid storage assignment framework: a case study." International Journal of Productivity and Performance Management 64(6): 870-892.
42. Smolic-Rocak, N., Bogdan, S., Kovacic, Z., & Petrovic, T. (2010). Time windows based dynamic routing in multi-agv systems. IEEE Transactions on Automation Science and Engineering, 7(1), 151-155.
43. Tompkins, J. A., J. A. White, Y. A. Bozer and J. M. A. Tanchoco (2010). Facilities planning, John Wiley & Sons.
44. Van Den Berg, J. P. and A. Gademann (2000). "Simulation study of an automated storage/retrieval system." International Journal of Production Research 38(6): 1339-1356.
45. Wulfraat, M. (2013). 5 ways to improve order picking productivity, Retrieved December 24, 2016, from http://www.supplychain247.com/article/5_ways_to_improve_order_picking_productivity/MWPVL_International.
46. Xie, J., Y. Mei, A. T. Ernst, X. Li and A. Song (2014). A genetic programming-based hyper-heuristic approach for storage location assignment problem. 2014 IEEE Congress on Evolutionary Computation (CEC).
47. Yu, M. (2008). Enhancing warehouse performance by efficient order picking.
48. Yu, M., & De Koster, R.B. (2008). The impact of order batching and picking area zoning on order picking system performance. European Journal of Operational Research, 198(2), 480-490.
49. Zdenek Cujan and Gabriel Fedorko. (2015). Efficiency of Retrieval Process. Applied Mechanics and Materials.
50. Zhou, L., G. Zhou and X. Xie (2010). Notice of Retraction<BR>An Optimal Storage Assignment Policy for Automated Storage and Retrieval Systems. 2010 Second International Workshop on Education Technology and Computer Science.
指導教授 何應欽(Ying-Chin Ho) 審核日期 2019-7-30
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