分區式揀貨倉庫之訂單批次化問題探討

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：103

、訪客IP：3.144.40.216

姓名

蔡昕頤(Hsin-Yi Tsai) 查詢紙本館藏

畢業系所

工業管理研究所

論文名稱

分區式揀貨倉庫之訂單批次化問題探討

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)

近年來，網路購物的迅速發展，消費管道由實體店面轉移至電商平台，更因COVID-19（新冠肺炎）疫情席捲全球，零售業網路銷售額屢創新高，而網購商家所主打的24小時快速到貨及與日俱增的配送量，皆考驗著物流中心的產能與效率。因此，如何在快速滿足客戶需求的同時降低成本，儼然成為物流中心的一大挑戰。
物流中心的作業流程可歸類為下列九項：進貨、搬運、儲存、盤點、訂單、揀貨、補貨、出貨、輸配送，其中揀貨作業是最具客戶敏感度的一環，同時也是作業量與人力耗費最大的一項工作。目前大多數的物流中心是屬於「勞力密集」的產業，揀貨作業占物流中心運營總成本的50至75%，為物流中心「成本最高的作業流程」，且揀貨作業時間佔整個物流作業時間約30至40%。是故，優化揀貨流程成為物流中心的首要目標。
以往，物流中心的揀貨方式普遍為「個別揀取」，即一位揀貨員一次揀取一張訂單，此法的優點是簡單明瞭，缺點則是效率較低。對此，常見的解決方式為「批次揀取」，意即將相似訂單合併處理，一個揀貨員同時對多張相似訂單進行揀貨，以減少揀貨作業時間與所需行走距離，由此可見，訂單批次化的優劣對揀貨效率將產生關鍵影響，若能找到適合的訂單批次化方法勢必能顯著提升揀貨效率。
然而，過往的訂單批次化相關文獻，鮮少探討物流業常見的「分區式揀貨系統」。此揀貨系統的揀貨行走路線流暢，但隨之而來的是動線相較複雜，因此搭配優良的揀貨策略顯得格外重要。基於上述原因，本研究將針對分區式揀貨系統中的批次化問題進行研究，並期望透過完整的模擬實驗與嚴謹的績效分析，能對此類問題有更深入的探討，亦對未來類似的研究能有所貢獻。

摘要(英)

Nowadays, online shopping has rapidly developed, and the "Stay-at-Home Economy" has accelerated the alteration of consumer behavior from the retailer to e-commerce platforms. Due to this situation, the change of shopping mode has increased the difficulty of logistics. The 24-hour fast delivery and the increasing volume of online shopping test the logistic efficiency. Response instantly to consumer needs is a necessary ability to distribution centers.
Among all operation of the distribution center, order picking is the most workload and manpower operation. At present, most distribution centers are "labor-intensive" industry. Order picking account for about 50-75% of the total operating costs, and the order picking takes about 30-40% of the total operating time. Therefore, how to optimize the order picking process is the primary goal of the distribution center.
In the past, the general order picking method was "individual picking", that is, one picker conducts one order at a time. The advantage of this method is simple to complete for those manipulators, but the disadvantage is that it is less efficient. In this regard, the common solution is "batch picking", which means that similar orders are merged to same order batch and be operated by pickers together, so a picker can select multiple and similar orders at the same time, reducing the picking time. The pros and cons of order batching impacts significantly.
However, in past essay about order batching, the research environment was relatively single and seldom discussed "zone picking system". This kind of picking system has a prime merit, smooth picking routes, but the disadvantage is that the picking traffic flow is much more complicated. It is important to match an excellent picking strategy. Based on the reasons above, this research will study the picking strategy in zone picking system, and will mainly discourse the order batching problem. In addition, in order to improve the efficiency, this research will also state the order batch selection problem and dynamic order picking routing problem, and finally find the most suitable picking strategy. Expecting that through this complete simulation experiments and statistical analysis can increase the understanding of order picking issues for the future of distribution center.

關鍵字(中)

★ 物流中心
★ 分區式揀貨系統
★ 訂單批次化
★ 訂單批次選取
★ 動態式揀貨路徑

關鍵字(英)

★ Distribution Center
★ Zone Picking System
★ Order Batching
★ Order Batch Selection
★ Dynamic Order Picking Route

論文目次

摘要 I
Abstract II
目錄 III
圖目錄 VI
表目錄 VIII
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 4
1.4 研究環境 4
1.5 論文架構 7
第二章文獻探討 9
2.1 倉儲規劃（Warehouse planning） 9
2.1.1 倉儲設計（Warehouse design） 9
2.1.2 走道設計（Aisle design） 14
2.2 儲位規劃（Storage planning） 17
2.2.1 儲位指派（Storage assignment） 17
2.2.2 儲區佈置（Warehouse layout） 20
2.3 訂單揀貨規劃（Order picking planning） 26
2.3.1 訂單批次化（Order batching） 26
2.3.2 揀貨政策（Picking policy） 35
2.3.3 路徑策略（Routing strategy） 40
第三章研究方法 48
3.1 問題說明 48
3.2 方法架構與流程 48
3.3 訂單批次化問題 50
3.3.1 種子訂單+配合訂單批次化法 51
3.3.2 種子訂單選擇法 53
3.3.2.1 揀貨區域數最少法 54
3.3.2.2 最小方形揀貨覆蓋區域法 55
3.3.2.3 揀貨區域中心點與I/O點之平均直線距離最短法 56
3.3.2.4 揀貨區域中心點與I/O點之平均矩形距離最短法 60
3.3.2.5 以NPZF產生之拜訪順序為基礎的揀貨路徑旅行距離最小法 62
3.3.3 配合訂單選擇法 68
3.3.3.1 額外增加揀貨區域數最少法 68
3.3.3.2 最大揀貨覆蓋區域重疊面積法 69
3.3.3.3 訂單間揀貨區域至最鄰近揀貨區域之平均相互直線距離最短法 71
3.3.3.4 訂單間揀貨區域至最鄰近揀貨區域之平均相互矩形距離最短法 77
3.3.3.5 增加額外旅行距離最小法 82
3.3.3.6 旅行距離成本相似係數最大 87
3.3.3.7 Jaccard相似係數最大 93
3.3.3.8 修訂版Jaccard相似係數最大 95
3.4 訂單批次選取問題 102
3.4.1 最小漸增權重懲罰值法 104
3.5 揀貨區域拜訪順序問題 106
3.5.1 動態揀貨區域拜訪順序法 107
3.5.2 鄰近揀貨區域優先演算法 109
3.5.3 模擬退火演算法 109
3.5.4 模擬退火演算法設置 111
第四章模擬實驗與分析 112
4.1 模擬實驗設計 112
4.1.1 揀貨環境設定 112
4.1.2 實驗訂單設定 114
4.1.3 揀貨環境假設 114
4.1.4 實驗因子組合 115
4.2 績效評估指標 117
4.3 統計分析 117
4.3.1 分析說明 118
4.3.2 依「揀貨系統總執行時間（TST）」為績效評估指標 118
4.3.2.1 個別因子之說明（依TST績效值） 119
4.3.2.2 不同因子交互作用之說明（依TST績效值） 122
4.3.2.3 最佳因子組合與績效（依TST績效值） 130
4.3.3 依「揀貨員總揀貨距離（TTD）」為績效評估指標 134
4.3.3.1. 個別因子之說明（依TTD績效值） 135
4.3.3.2. 不同因子交互作用之說明（依TTD績效值） 138
4.3.3.3. 最佳因子組合與績效（依TTD績效值） 146
4.3.4 依「揀貨員總忙碌時間（TBT）」為績效評估指標 150
4.3.4.1 個別因子之說明（依TBT績效值） 151
4.3.4.2 不同因子交互作用之說明（依TBT績效值） 154
4.3.4.3 最佳因子組合與績效（依TBT績效值） 162
4.4 實驗結論 166
第五章研究結論與建議 168
5.1 研究結論 168
5.2 未來研究建議 170
第六章參考文獻 171
中文文獻 171
英文文獻 172

參考文獻

中文文獻
1. 方詠傑（2021）。基於揀貨路徑策略之訂單批次化問題探討。國立中央大學工業管理研究所碩士發表之論文，桃園市。
2. 呂家棟（2013）。應用修正後的群聚方法於解決訂單批次化問題。國立中央大學工業管理研究所碩士發表之論文，桃園市。
3. 邱耀弘（2008）。以分群為基礎之訂單批量化方法探討。國立中央大學工業管理研究所碩士發表之論文，桃園市。
4. 孫海蛟與董福慶（1995）。物流中心儲位管理。經濟部發行；機械工業雜誌總經銷，台北，初版。
5. 陳姿穎（2010）。在具有 RFID 的分區揀貨倉儲環境下之揀貨問題探討。國立中央大學工業管理研究所碩士發表之論文，桃園市。
6. 陳暉江（2004）。具兩條以上橫向走道之物流中心揀貨路徑規劃研究。國立中央大學工業管理研究所碩士發表之論文，桃園市。
7. 陳瀅如（2010）。具共同揀貨區域之分區揀貨系統之揀貨作業效率研究。國立中央大學工業管理研究所碩士發表之論文，桃園市。
8. 趙廷偉（2012）。具語音引導揀貨系統之揀貨作業的執行與績效。國立中央大學工業管理研究所碩士發表之論文，桃園市。
9. 蔡冠右（2021）。分區式揀貨系統之訂單批次化問題研究。國立中央大學工業管理研究所碩士發表之論文，桃園市。
10. 賴順良（2009）。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發表之論文，桃園市。
11. 錢尚璞（2003）。揀貨中心之儲位配置與揀貨策略的研究。國立中央大學工業管理研究所碩士發表之論文，桃園市。

英文文獻
1. Aboelfotoh, A., Singh, M., & Suer, G. (2019). Order Batching Optimization for Warehouses with Cluster-Picking. Procedia Manufacturing, 39, 1464–1473.
2. Accorsi, R., Manzini, R., & Maranesi, F.（2014）. A decision-support system for the design and management of warehousing systems. Computers in Industry, 65（1）, 175-186.
3. Alipour, M., Mehrjedrdi, Y. Z., & Mostafaeipour, A.（2020）. A rule-based heuristic algorithm for on-line order batching and scheduling in an order picking warehouse with multiple pickers. RAIRO-Operations Research, 54（1）, 101-107.
4. Altarazi, S. A., & Ammouri, M. M. （2018）. Concurrent manual-order-picking warehouse design: a simulation-based design of experiments approach. International Journal of Production Research, 56（23）, 7103-7121.
5. Ardjmand, E., Shakeri, H., Singh, M., & Bajgiran, O. S. (2018). Minimizing order picking makespan with multiple pickers in a wave picking warehouse. International Journal of Production Economics, 206, 169-183.
6. Ardjmand, E., Youssef, E. M., Moyer, A., II, W. A. Y., Weckman, G. R., & Shakeri, H. (2020). A multi-objective model for minimising makespan and total travel time in put wall-based picking systems. International Journal of Logistics Systems and Management, 36(1), 138.
7. Arnaout, J. P., ElKhoury, C., & Karayaz, G.（2020）. Solving the multiple level warehouse layout problem using ant colony optimization. Operational Research, 1-18.
8. Bahrami, B., Aghezzaf, E. H., & Limère, V.（2019）. Enhancing the order picking process through a new storage assignment strategy in forward-reserve area. International Journal of Production Research, 57（21）, 6593-6614.
9. Battini, D., Calzavara, M., Persona, A., & Sgarbossa, F.（2015）. A comparative analysis of different paperless picking systems. Industrial Management & Data Systems.
10. Bolaños Zuñiga, J., Saucedo Martínez, J. A., Salais Fierro, T. E., & Marmolejo Saucedo, J. A.（2020）Optimization of the Storage Location Assignment and the Picker-Routing Problem by Using Mathematical Programming. Applied Sciences, 10（2）, 534.
11. Bortolini, M., Faccio, M., Ferrari, E., Gamberi, M., & Pilati, F.（2019）. Design of diagonal cross-aisle warehouses with class-based storage assignment strategy. The International Journal of Advanced Manufacturing Technology, 100（9-12）, 2521-2536.
12. Boysen, N., De Koster, R., & Füßler, D.（2020）. Working Paper The forgotten sons： Warehousing systems for brick-and-mortar retail chains. European Journal of Operational Research.
13. Bozer, Y. A., & Kile, J. W. （2008）. Order batching in walk-and-pick order picking systems. International Journal of Production Research, 46（7）, 1887-1909.
14. Briant, O., Cambazard, H., Cattaruzza, D., Catusse, N., Ladier, A.-L., & Ogier, M. (2020). An efficient and general approach for the joint order batching and picker routing problem. European Journal of Operational Research.
15. Calzavara, M., Glock, C. H., Grosse, E. H., & Sgarbossa, F. （2019）. An integrated storage assignment method for manual order picking warehouses considering cost, workload and posture. International Journal of Production Research, 57（8）, 2392-2408.
16. Cano, J. A., Correa-Espinal, A. A., & Gómez-Montoya, R. A.（2017）. An evaluation of picking routing policies to improve warehouse efficiency. International Journal of Industrial Engineering and Management, 8（4）, 229-238.
17. Cano, J. A., Correa-Espinal, A. A., Gómez-Montoya, R. A., & Cortés, P.（2019）. Genetic algorithms for the picker routing problem in multi-block warehouses. In International Conference on Business Information Systems （pp. 313-322）. Springer, Cham.
18. Cano, J. A., Gomez, R. A., & Salazar, F.（2017）. Routing policies in multi-parallel warehouses: an analysis of computing times. Espacios, 38（51）, 23.
19. Cergibozan, Ç., & Tasan, A. S.（2019）. Order batching operations: an overview of classification, solution techniques, and future research. Journal of Intelligent Manufacturing, 30（1）, 335-349.
20. Cergibozan, Ç., & Tasan, A. S.（2020）Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center. Journal of Intelligent Manufacturing, 1-13.
21. Chan, F. T., & Chan, H. K.（2011）. Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage. Expert systems with applications, 38（3）, 2686-2700.
22. Chen, F., Wang, H., Xie, Y., & Qi, C.（2016）. An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse. Journal of Intelligent Manufacturing, 27（2）, 389-408.
23. Chen, F., Xu, G., & Wei, Y.（2019）. Heuristic routing methods in multiple-block warehouses with ultra-narrow aisles and access restriction. International Journal of Production Research, 57（1）, 228-249.
24. Chen, M. C., & Wu, H. P.（2005）. An association-based clustering approach to order batching considering customer demand patterns. Omega, 33（4）, 333-343.
25. Chen, T. L., Cheng, C. Y., Chen, Y. Y., & Chan, L. K.（2015）. An efficient hybrid algorithm for integrated order batching, sequencing and routing problem. International Journal of Production Economics, 159, 158-167.
26. Daniels, R. L., Rummel, J. L., & Schantz, R.（1998）. A model for warehouse order picking. European Journal of Operational Research, 105（1）, 1-17.
27. De Koster, M. B. M., Van der Poort, E. S., & Wolters, M.（1999）. Efficient orderbatching methods in warehouses. International Journal of Production Research, 37（7）, 1479-1504.
28. De Koster, R. B., Johnson, A. L., & Roy, D.（2017）. Warehouse design and management.
29. De Koster, R., Le-Duc, T., & Roodbergen, K. J.（2007）. Design and control of warehouse order picking: A literature review. European journal of operational research, 182（2）, 481-501.
30. De Vries, J., De Koster, R., & Stam, D.（2016）. Aligning order picking methods, incentive systems, and regulatory focus to increase performance. Production and Operations Management, 25（8）, 1363-1376.
31. Dharmapriya, U. S. S., & Kulatunga, A. K.（2011）. New strategy for warehouse optimization–lean warehousing. In Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management （pp. 513-519）.
32. Dukic, G., & Oluic, C. (2007). Order-picking methods: improving order-picking efficiency. International Journal of Logistics Systems and Management, 3(4), 451-460.
33. Elbert, R. M., Franzke, T., Glock, C. H., & Grosse, E. H.（2017）. The effects of human behavior on the efficiency of routing policies in order picking: The case of route deviations. Computers & Industrial Engineering, 111, 537-551.
34. Feng, A.L., Jia, Z., & Kong, J.L.（2018）. The comparative study of order pick location distribution characteristics impacting on the picking path in the distribution center. In 2018 13th IEEE Conference on Industrial Electronics and Applications （ICIEA）（pp. 1090-1094）. IEEE.
35. Fibrianto, H. Y., & Hong, S. (2019). Dynamic order batching in bucket brigade order picking systems with consecutive batch windows and non-identical pickers. International Journal of Production Research, 1–17.
36. Frazelle, E.（2002）. World-class Warehousing and Material Handling, McGraw Hill.
37. Frazelle, E.（2002）. Supply chain strategy: the logistics of supply chain management. McGraw Hill.
38. Fu, C., Wang, Y., Gu, Y., Ma, M., & Xue, T.（2011）. Routing optimization of high-level orderpickers in a rectangular warehouse. In 2011 International Conference on Consumer Electronics, Communications and Networks（CECNet）（pp. 4388-4391）. IEEE.
39. Geng, Y., Li, Y., & Lim, A.（2005）. A very large-scale neighborhood search approach to capacitated warehouse routing problem. In 17th IEEE International Conference on Tools with Artificial Intelligence （ICTAI′05）（pp. 8-pp）. IEEE.
40. Gil-Borrás, S., Pardo, E. G., Alonso-Ayuso, A., & Duarte, A.（2020）. GRASP with Variable Neighborhood Descent for the online order batching problem. Journal of Global Optimization, 1-31.
41. Gils, T. van, Caris, A., Ramaekers, K., & Braekers, K. (2019). Formulating and Solving the Integrated Batching, Routing, and Picker Scheduling Problem in a Real-life Spare Parts Warehouse. European Journal of Operational Research.
42. Gong, Y., & De Koster, R.（2008）. A polling-based dynamic order picking system for online retailers. IIE transactions, 40（11）, 1070-1082.
43. Grosse, E. H., Glock, C. H., & Jaber, M. Y.（2013）. The effect of worker learning and forgetting on storage reassignment decisions in order picking systems. Computers & Industrial Engineering, 66（4）, 653-662.
44. Gu, J., Goetschalckx, M., & McGinnis, L. F.（2007）. Research on warehouse operation: A comprehensive review. European journal of operational research, 177（1）, 1-21.
45. Gue, K. R., & Meller, R. D.（2009）. Aisle configurations for unit-load warehouses. IIE transactions, 41（3）, 171-182.
46. Hackman, S. T., Frazelle, E. H., Griffin, P. M., Griffin, S. O., & Vlasta, D. A.（2001）. Benchmarking warehousing and distribution operations: an input-output approach. Journal of Productivity Analysis, 16（1）, 79-100.
47. Henn, S.（2012）. Algorithms for on-line order batching in an order picking warehouse. Computers & Operations Research, 39（11）, 2549-2563.
48. Henn, S., & Wäscher, G.（2012）. Tabu search heuristics for the order batching problem in manual order picking systems. European Journal of Operational Research, 222（3）, 484-494.
49. Henn, S., Koch, S., & Wäscher, G.（2012）. Order batching in order picking warehouses: a survey of solution approaches. In Warehousing in the global supply chain （pp. 105-137）. Springer, London.
50. Henn, S., Koch, S., Doerner, K. F., Strauss, C., & Wäscher, G.（2010）. Metaheuristics for the order batching problem in manual order picking systems. Business Research, 3（1）, 82-105.
51. Ho, Y. C., & Chien, S. P.（2006）. A comparison of two zone-visitation sequencing strategies in a distribution centre. Computers & Industrial Engineering, 50（4）, 426-439.
52. 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.
53. 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.
54. Ho, Y. C., & Tseng, Y. Y.（2006）. A study on order-batching methods of order-picking in a distribution centre with two cross-aisles. International Journal of Production Research, 44（17）, 3391-3417.
55. Ho, Y. C., Su, T. S., & Shi, Z. B.（2008）. Order-batching methods for an order-picking warehouse with two cross aisles. Computers & Industrial Engineering, 55（2）, 321-347.
56. Ho, Y. C., Wee, H. M., & Chen, H. C.（2007）. A geometric design of zone-picking in a distribution warehouse. In International Conference on Computational Science and Its Applications（pp. 625-636）. Springer, Berlin, Heidelberg.
57. Hong, S., & Kim, Y. （2017）. A route-selecting order batching model with the S-shape routes in a parallel-aisle order picking system. European Journal of Operational Research, 257（1）, 185-196.
58. Hong, S., Johnson, A. L., & Peters, B. A.（2012）. Large-scale order batching in parallel-aisle picking systems. IIE Transactions, 44（2）, 88-106.
59. Hsieh, L. F., & Huang, Y. C.（2011）. New batch construction heuristics to optimise the performance of order picking systems. International Journal of Production Economics, 131（2）, 618-630.
60. Hsieh, L. F., & Tsai, L.（2006）. The optimum design of a warehouse system on order picking efficiency. The International Journal of Advanced Manufacturing Technology, 28（5-6）, 626-637.
61. Hsu, C. M., Chen, K. Y., & Chen, M. C.（2005）. Batching orders in warehouses by minimizing travel distance with genetic algorithms. Computers in industry, 56（2）, 169-178.
62. Hwang, H., & Kim, D. G.（2005）. Order-batching heuristics based on cluster analysis in a low-level picker-to-part warehousing system. International Journal of Production Research, 43（17）, 3657-3670.
63. 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.
64. Klodawski, M., Jachimowski, R., Jacyna-Golda, I., & Izdebski, M. (2018). Simulation analysis of order picking efficiency with congestion situations. International Journal of Simulation Modelling, 17(3), 431-443.
65. Koch, S., & Wäscher, G.（2016）. A grouping genetic algorithm for the order batching problem in distribution warehouses. Journal of Business Economics, 86（1-2）, 131-153.
66. Koo, P. H.（2009）. The use of bucket brigades in zone order picking systems. OR spectrum, 31（4）, 759.
67. Kulak, O., Sahin, Y., & Taner, M. E.（2012）. Joint order batching and picker routing in single and multiple-cross-aisle warehouses using cluster-based tabu search algorithms. Flexible services and manufacturing journal, 24（1）, 52-80.
68. Larco, J. A., De Koster, R., Roodbergen, K. J., & Dul, J.（2017）. Managing warehouse efficiency and worker discomfort through enhanced storage assignment decisions. International Journal of Production Research, 55（21）, 6407-6422.
69. Le-Duc, T., & De Koster, R. M. B.（2005）. Travel distance estimation and storage zone optimization in a 2-block class-based storage strategy warehouse. International Journal of Production Research, 43（17）, 3561-3581.
70. Le-Duc, T., & De Koster, R. M.（2007）. Travel time estimation and order batching in a 2-block warehouse. European Journal of Operational Research, 176（1）, 374-388.
71. Lee, I. G., Chung, S. H., & Yoon, S. W.（2020）. Two-stage storage assignment to minimize travel time and congestion for warehouse order picking operations. Computers & Industrial Engineering, 139, 106129.
72. Leung, K. H., Lee, C. K. M., & Choy, K. L. (2020). An integrated online pick-to-sort order batching approach for managing frequent arrivals of B2B e-commerce orders under both fixed and variable time-window batching. Advanced Engineering Informatics, 45, 101125.
73. Li, J., Moghaddam, M., & Nof, S. Y.（2016）. Dynamic storage assignment with product affinity and ABC classification—a case study. The International Journal of Advanced Manufacturing Technology, 84（9-12）, 2179-2194.
74. Li, Y., & Li, Y.（2018）. E-commerce order batching algorithm based on association rule mining in the era of big data. In 2018 Chinese Control And Decision Conference （CCDC）（pp. 1934-1939）. IEEE.
75. Liang, J., Wu, Z., Zhu, C., & Zhang, Z.-H. (2020). An estimation distribution algorithm for wave-picking warehouse management. Journal of Intelligent Manufacturing.
76. Lin, C. H., & Lu, I. Y.（1999）. The procedure of determining the order picking strategies in distribution center. International Journal of Production Economics, 60, 301-307. vol.60, no. 1, 301-307.
77. Lu, W., McFarlane, D., Giannikas, V., & Zhang, Q.（2016）. An algorithm for dynamic order-picking in warehouse operations. European Journal of Operational Research, 248（1）, 107-122.
78. 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.
79. Masae, M., Glock, C. H., & Grosse, E. H.（2020）. Order picker routing in warehouses: A systematic literature review. International Journal of Production Economics, 224, 107564.
80. Masae, M., Glock, C. H., & Vichitkunakorn, P.（2020）. Optimal order picker routing in a conventional warehouse with two blocks and arbitrary starting and ending points of a tour. International Journal of Production Research, 1-22.
81. Matusiak, M., De Koster, R., & Saarinen, J.（2017）. Utilizing individual picker skills to improve order batching in a warehouse. European Journal of Operational Research, 263（3）, 888-899.
82. Menéndez, B., Pardo, E. G., Alonso-Ayuso, A., Molina, E., & Duarte, A.（2017）. Variable neighborhood search strategies for the order batching problem. Computers & Operations Research, 78, 500-512.
83. Moeller, K.（2011）. Increasing warehouse order picking performance by sequence optimization. Procedia-Social and Behavioral Sciences, 20, 177-185.
84. Molnar, B. A. L. Á. Z. S., & Lipovszki, G. Y. Ö. R. G. Y.（2005）. Multi-objective routing and scheduling of order pickers in a warehouse. International Journal of Simulation, 6（5）, 22-32.
85. Mowrey, C. H., & Parikh, P. J.（2014）. Mixed-width aisle configurations for order picking in distribution centers. European Journal of Operational Research, 232（1）, 87-97.
86. Muter, İ., & Öncan, T. (2015). An exact solution approach for the order batching problem. IIE Transactions, 47(7), 728–738.
87. Mutingi, M., & Mbohwa, C.（2017）. Optimizing order batching in order picking systems: Hybrid grouping genetic algorithm. In Grouping Genetic Algorithms （pp. 121-140）. Springer, Cham.
88. Öztürkoğlu, Ö., & Hoser, D.（2019）. A discrete cross aisle design model for order-picking warehouses. European Journal of Operational Research, 275（2）, 411-430.
89. Öztürkoğlu, Ö., Gue, K. R., & Meller, R. D.（2012）. Optimal unit-load warehouse designs for single-command operations. IIE Transactions, 44（6）, 459-475.
90. Pan, J. C. H., Shih, P. H., & Wu, M. H.（2015）. Order batching in a pick-and-pass warehousing system with group genetic algorithm. Omega, 57, 238-248.
91. Pan, J. C. H., Wu, M. H., & Chang, W. L.（2014）. A travel time estimation model for a high-level picker-to-part system with class-based storage policies. European Journal of Operational Research, 237（3）, 1054-1066.
92. Parikh, P. J., & Meller, R. D.（2008）. Selecting between batch and zone order picking strategies in a distribution center. Transportation Research Part E: Logistics and Transportation Review, 44（5）, 696-719.
93. Pei, Z., Wang, Z., & Yang, Y.（2019）. Research of Order Batching Variable Neighborhood Search Algorithm based on Saving Mileage. In 3rd International Conference on Mechatronics Engineering and Information Technology（ICMEIT 2019）. Atlantis Press.
94. Petersen, C. G.（1997）.An evaluation of order picking routeing policies. International Journal of Operations & Production Management.
95. Petersen, C. G., & Aase, G. R.（2017）. Improving order picking efficiency with the use of cross aisles and storage policies. Open Journal of Business and Management, 5（01）, 95.
96. Petersen, C. G., & Schmenner, R. W.（1999）. An evaluation of routing and volume‐based storage policies in an order picking operation. Decision Sciences, 30（2）, 481-501.
97. Petersen, C. G., Siu, C., & Heiser, D. R.（2005）. Improving order picking performance utilizing slotting and golden zone storage. International Journal of Operations & Production Management.
98. Petersen, C.G.（2000）. An evaluation of order picking policies for mail order companies. Production and operations management, 9（4）, 319-335.
99. Pferschy, U., & Schauer, J.（2018）. Order batching and routing in a non-standard warehouse. Electronic Notes in Discrete Mathematics, 69, 125-132.
100. Pierre, B., Vannieuwenhuyse, B., Dominanta, D., & Van Dessel, H.（2003）. Dynamic ABC storage policy in erratic demand environments. Jurnal Teknik Industri, 5（1）, 1-12.
101. Pourvaziri, H., Pierreval, H., & Marian, H.（2020）. Integrating facility layout design and aisle structure in manufacturing systems: Formulation and exact solution. European Journal of Operational Research.
102. Quader, S., & Castillo-Villar, K. K.（2018）. Design of an enhanced multi-aisle order-picking system considering storage assignments and routing heuristics. Robotics and Computer-Integrated Manufacturing, 50, 13-29.
103. Ran, W., Liu, S., & Zhang, Z.（2020）. A polling-based dynamic order-picking system considering priority orders. Complexity, 2020.
104. Rardin, R. L.（1998）. Optimization in operations research. Upper Saddle River, NJ: Prentice-Hall.
105. Renaud, J., & Ruiz, A.（2008）. Improving product location and order picking activities in a distribution centre. Journal of the Operational Research Society, 59（12）, 1603-1613.
106. Roodbergen, K. J., & De Koster, R.（2001）. Routing methods for warehouses with multiple cross aisles. International Journal of Production Research, 39（9）, 1865-1883.
107. Roodbergen, K. J., & De Koster, R.（2001）. Routing order pickers in a warehouse with a middle aisle. European Journal of Operational Research, 133（1）, 32-43.
108. Roodbergen, K. J., & Vis, I. F.（2006）. A model for warehouse layout. IIE transactions, 38（10）, 799-811.
109. Roodbergen, K. J., Sharp, G. P., & Vis, I. F.（2008）. Designing the layout structure of manual order picking areas in warehouses. IIE Transactions, 40（11）, 1032-1045.
110. Roodbergen, K. J., Vis, I. F., & Taylor Jr, G. D.（2015）. Simultaneous determination of warehouse layout and control policies. International Journal of Production Research, 53（11）, 3306-3326.
111. Rouwenhorst, B., Reuter, B., Stockrahm, V., van Houtum, G. J., Mantel, R. J., & Zijm, W. H.（2000）. Warehouse design and control: Framework and literature review. European journal of operational research, 122（3）, 515-533.
112. Şahin, R., Ertoğral, K., & Türkbey, O.（2010）. A simulated annealing heuristic for the dynamic layout problem with budget constraint. Computers & Industrial Engineering, 59（2）, 308-313.
113. Sarker, B. R. (1996). The resemblance coefficients in group technology: A survey and comparative study of relational metrics. Computers & Industrial Engineering, 30(1), 103-116.
114. Scholz, A., & Wäscher, G.（2017）. Order Batching and Picker Routing in manual order picking systems: the benefits of integrated routing. Central European Journal of Operations Research, 25（2）, 491-520.
115. Scholz, A., Henn, S., Stuhlmann, M., & Wäscher, G.（2016）. A new mathematical programming formulation for the single-picker routing problem. European Journal of Operational Research, 253（1）, 68-84.
116. Schrotenboer, A. H., Wruck, S., Roodbergen, K. J., Veenstra, M., & Dijkstra, A. S.（2017）. Order picker routing with product returns and interaction delays. International Journal of Production Research, 55（21）, 6394-6406.
117. Srivilas, K., & Cherntanomwong, P.（2017, March）. Routing algorithm in warehouse with congestion consideration using an ACO with VLC support. In 2017 International Electrical Engineering Congress（iEECON）（pp. 1-4）. IEEE.
118. Theys, C., Bräysy, O., Dullaert, W., & Raa, B.（2010）. Using a TSP heuristic for routing order pickers in warehouses. European Journal of Operational Research, 200（3）, 755-763.
119. Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A.（2010）. Facilities planning. John Wiley & Sons.
120. Tsai, C. Y., Liou, J. J., & Huang, T. M.（2008）. Using a multiple-GA method to solve the batch picking problem: considering travel distance and order due time. International Journal of Production Research, 46（22）, 6533-6555.
121. Urzúa, M., Mendoza, A., & González, A. O.（2019）. Evaluating the impact of order picking strategies on the order fulfilment time: A simulation study. Acta Logist. Int. Sci. J. Logist, 6, 103-114.
122. Valle, C. A., Beasley, J. E., & da Cunha, A. S.（2017）. Optimally solving the joint order batching and picker routing problem. European Journal of Operational Research, 262（3）, 817-834.
123. Van Den Berg, J. P., & Van Der Hoff, H. H.（2001）. An order batching algorithm for wave picking in a parallel-aisle warehouse. IIE transactions, 33（5）, 385-398.
124. van Gils, T., Braekers, K., Ramaekers, K., Depaire, B., & Caris, A. (2016). Improving order picking efficiency by analyzing combinations of storage, batching, zoning, and routing policies. In International Conference on Computational Logistics (pp. 427-442). Springer, Cham.
125. Vaughan, T. S.（1999）. The effect of warehouse cross aisles on order picking efficiency. International Journal of Production Research 37.4: 881-897.
126. Weidinger, F.（2018）. Picker routing in rectangular mixed shelves warehouses. Computers & Operations Research, 95, 139-150.
127. Yang, P., Zhao, Z., & Shen, Z. J. M. (2020). A flow picking system for order fulfillment in e-commerce warehouses. IISE Transactions, 1-11.
128. Yu, M., & De Koster, R. B.（2009）. The impact of order batching and picking area zoning on order picking system performance. European Journal of Operational Research, 198（2）, 480-490.
129. Zaerpour, N., De Koster, R. B., & Yu, Y.（2013）. Storage policies and optimal shape of a storage system. International Journal of Production Research, 51（23-24）, 6891-6899.
130. Zare Mehrjerdi, Y., Alipour, M., & Mostafaeipour, A. (2018). Integrated order batching and distribution scheduling in a single-block order picking warehouse considering S-shape routing policy. International Journal of Engineering, 31(10), 1723-1733.
131. Zhang, J., Wang, X., & Huang, K.（2016）. Integrated on-line scheduling of order batching and delivery under B2C e-commerce. Computers & Industrial Engineering, 94, 280-289.
132. Zhang, J., Wang, X., Chan, F. T., & Ruan, J.（2017）. On-line order batching and sequencing problem with multiple pickers: A hybrid rule-based algorithm. Applied Mathematical Modelling, 45, 271-284.
133. Zhang, R. Q., Wang, M., & Pan, X.（2019）. New model of the storage location assignment problem considering demand correlation pattern. Computers & Industrial Engineering, 129, 210-219.
134. Zhao, Z., & Yang, P. (2017). Improving order-picking performance by optimizing order batching in multiple-cross-aisle warehouse systems: A case study from e-commerce in China. 2017 4th International Conference on Industrial Engineering and Applications (ICIEA).
135. Zivanic, D., Zelic, A., Lalic, B., Simeunovic, N., & Szabo, L. (2019). Improving the order picking efficiency by optimising the orders’ sequence. International Journal of Simulation Modelling, 18(1), 125-137.
136. Žulj, I., Glock, C. H., Grosse, E. H., & Schneider, M.（2018）. Picker routing and storage-assignment strategies for precedence-constrained order picking. Computers & Industrial Engineering, 123, 338-347.
137. Žulj, I., Kramer, S., & Schneider, M.（2018）. A hybrid of adaptive large neighborhood search and tabu search for the order-batching problem. European Journal of Operational Research, 264（2）, 653-664.

指導教授

何應欽(Ying-Chin Ho)

審核日期

2022-7-21

推文