The mobile storage system poses many advantages. But very few studies focus on it. This study applied the integrated multi-level conveying device to establish automated mobile storage system to overcome the existing drawbacks and achieved effects significantly. We formulated the picking operation in the MSS and three automated picking models been proposed in this study called M-AS/RS. First model is the one-sided picking model for MSS. By properly sequence the picking items, the results shown that can overcome the deficiencies in the existing manual operation model.
Second model is the two-sided picking model which enhance performance from modified picking device and movement path. In the two-sided model,proposed “co_picking aisle”algorithm, in this way, can get the minimum picking aisle number needed for picker run in batch order picking operation. It can achieve great improvement in efficiency. In this model, we also found that the optimal ratio range for h l is from about 0.6 to 1.0 and the optimal ratio range for vy vx is from about 0.6 to 1.0. It is very useful to set parameters of warehouse in picker M-AS/RS.
In view of aisle layout this study proposed the third model. By changing the cross aisle layout from the front cross aisle to middle cross aisle that reduce the movement distance for IMCD run in picking operation. This model is very suitable for warehouse with deep depth aisles and order with low density situations. In this model, we also found that the optimal ratio range for l w is from about 0.6 to 1.0.
Although the M-AS/RS has so many advantages, including high space utility rate, storage and retrieval speed, safety, flexible, low rate of error and low operation cost. There are some practical considerations have to be taken into account while establishing the automatic MSS, such as the establishment costs, operational costs, physical environment of the storage area, the frequency of storage and retrieval, and particular issues of human safety. Each individual facility will have to take these factors into account in making decisions about the suitability of various technological options in utilizing IMCD.
References
[1]. Amit, E., Rosenblatt and M.J., 1994, “Establishing ZonesIn One-Command Class-Based RectangularAS/RS”,IIE Transactions,vol. 26, pp38-45.
[2]. Chang, T-S, Hsieh, Y-A, and Yang, 2000, “C-H., Warehousing System Having A Picking DeviceForTransferring ArticlesBetween Two LevelsofA Multistory Building”, U.S.Patent No. 06113336.
[3]. Chang, T-S, Fu, H-P and Hsu, L-C.,2006,“The InnovativePicking DeviceApplication for Transferring Articles between Two-Levels of a Multi-story Building”,InternationalJournalof Advanced Manufacturing Technology, vol.28, pp.197-204.
[4]. Chan, F.T.S., 2002. “Design of material handling equipment selection system: an integration of expertsystem with analytichierarchy processapproach”,Integrated Manufacturing Systems, vol.13(1), pp. 58-68.
[5]. Daniels, R.L.; Flummel, J.L. and Schantz, R.,1998, “Model for warehouse order picking, European Journal of Operational Research, vol.105(1),pp.1-17.
[6]. Goetschalckx, M. and Ratliff, H.D.,1998, “OrderPicking in an Aisle”,IIE Transactions,vol. 20, pp.53-62.
[7]. Hwang, H. and Song, J.Y., 1993, “Sequencing picking operations and travel time models for man-on-board storageand retrievalwarehousing system”,InternationalJournalofProduction Economics, vol. 29(1), pp.75-88.
[8]. Litvak, N., Adan, IJBF and Wessels, J., 2001, “Order picking in carousel systems under the nearestitem heuristic”,Probability In The Engineering And InformationalSciences,vol.15, pp.135-164.
[9]. Litvak, N and Adan, I., 2001, “The travel time in carousel systems under the nearest item heuristic”,JournalOfApplied Probability,vol.38,pp.45-54.
[10].Lin, CH and Lu, IY.,1999, “The procedure of determining the order picking strategies in distribution center”,InternationalJournalOfProduction Economics,vol.60,pp.301-307.
[11].Lee, M-K.,1992, “Storage assignment policy in a man-on-board automated storage/retrieval system”,InternationalJournalofProduction Research,vol.30,pp.2281-2292.
[12].Malmborg, C.J., 2001. “Rule of thumb heuristics for configuring storage racks in automated storage and retrieval systems design“, International Journal of Production Research, vol.39 (3), pp.511-527.
[13].Park, B.C.,2001, “An optimal dwell point policy for automated storage/retrieval systems with uniformly distributed,rectangularracks”,InternationalJournalofProduction Research,vol.39, pp.1469-1480.
[14].Van Oudheusden, D.L., Tzen, Y-J J. and Ko, H-T., 1998, “Improving Storage And Order Picking In A Person-On-Board AS/R System: A Case Study”, Engineering Costs and Production Economics, vol.13, pp. 273-283.
計畫成果自評
第一年
“Innovative Application of an Integrated Multi-Level Conveying Device to a Mobile Storage System”, International Journal of Advanced Manufacturing Technology, Vol.29, No. 9-10, pp962–968. (SCI) (2006)
第二年
“A Two-sided Picking Model of M-AS/RS with an Aisle-assignmentAlgorithm”,International Journal of Production Research, Vol.45, No.17, pp.3971-3990 (SCI)(2007)
第三年
"Order Picking Improvement in Mobile Storage Systems with a Middle Cross Aisle", International Journal of Production Research, Vol.47, No.4, pp,1089-1104.(SCI) (2009)
表 Y04
行政院國家科學委員會補助國內專家學者出席國際學術會議報告
98 年 8 月 29 日
報告人姓名 張添香 服務機構
及職稱
國立高雄應用科技大學 資訊管理系(所)
時間 會議
地點
民國 98 年 7 月 30 日至民國 98 年 8 月 01 日
美國舊金山
本會核定 補助文號
NSC95-2221-E-151-035-MY3
會議 名稱
(中文)第十九屆太平洋沿岸區國際管理研討會
(英文)the 19thACME International Conference of Pacific Rim Management 發表
論文 題目
(中文) 在國產化策略下使用 M-GE 模式分析競爭策略
(英文) Using M-GE Model to Analyze the Competitive Strategy under Localization Policy
報告內容應包括下列各項：
一、參加會議經過
7 月 30 日下午報到後參加大會安排之晚宴，8 月 1 日發表論文。
二、與會心得
與其他領域學者交換意見，建立校際合作之管道。
三、考察參觀活動(無是項活動者省略)
四、建議 無
五、攜回資料名稱及內容
研討會大會手冊及光碟各一份。
六、其他 無
附件三
表 Y04
表 Y04