跳到主要內容

臺灣博碩士論文加值系統

(98.82.120.188) 您好!臺灣時間:2024/09/15 14:59
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:奧托
研究生(外文):Otto Galvez
論文名稱:A Comparative Study of Storage Allocation Policies and Picking Strategies in Different Warehouse Layouts
論文名稱(外文):A Comparative Study of Storage Allocation Policies and Picking Strategies in Different Warehouse Layouts
指導教授:丁慶榮丁慶榮引用關係
指導教授(外文):Ching-JungTing
口試委員:蔡啟揚陳文智
口試委員(外文):Qi-YangCaiWen-ChihChen
口試日期:2012-7-5
學位類別:碩士
校院名稱:元智大學
系所名稱:工業工程與管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
畢業學年度:100
語文別:英文
論文頁數:147
中文關鍵詞:warehouse layoutunit-loadorder-pickingstorage policyrouting policyfishbone layout..
外文關鍵詞:warehouse layoutunit-loadorder-pickingstorage policyrouting policyfishbone layout..
相關次數:
  • 被引用被引用:0
  • 點閱點閱:251
  • 評分評分:
  • 下載下載:6
  • 收藏至我的研究室書目清單書目收藏:0
This research investigates the effect of operating policies in traditional and nontraditional warehouse layouts. Operational policies that are considered include storage allocation policy, picking strategy, and picker routing policy. Traditional layouts have vertical picking aisles and cross aisle perpendicular to picking aisles. Nontraditional aisle layouts may have nonparallel picking aisles and inclined cross aisles.
Our study considers both unit-load and less-than-unit-load warehouses. For unit-load warehouses, the analysis embraces the assumptions of having multiple P&;D points, in combination with random and turnover-based storage policies in different scenarios of demand patterns. Results that the fishbone layout efficiency is slightly better the traditional layouts when there is a P&;D point in the lower center and the rest in the upper side of the warehouse. When every P&;D point is located in the upper side of the warehouse, the traditional layouts perform the best.
We introduce the rotated fishbone (RF) layout for the specific case of having two P&;D points at the upper corners of the warehouse. The RF layout shows to be more efficient than other layouts under unit-load operations.
Assuming a single centrally located P&;D point, we demonstrate that the fishbone layout is able to perform better than traditional layouts for order-picking systems, having a considerable advantage when there is turnover-based storage and the demand pattern of items is noticeably skewed.

Our results suggest that warehouses with two P&;D points at the upper corners and multi-command cycles are mostly efficient when utilizing a traditional layout with a middle cross aisle. The performance of nontraditional layouts is shown to be very poor for multi-command cycles and two P&;D points in the upper corners.
This research investigates the effect of operating policies in traditional and nontraditional warehouse layouts. Operational policies that are considered include storage allocation policy, picking strategy, and picker routing policy. Traditional layouts have vertical picking aisles and cross aisle perpendicular to picking aisles. Nontraditional aisle layouts may have nonparallel picking aisles and inclined cross aisles.
Our study considers both unit-load and less-than-unit-load warehouses. For unit-load warehouses, the analysis embraces the assumptions of having multiple P&;D points, in combination with random and turnover-based storage policies in different scenarios of demand patterns. Results that the fishbone layout efficiency is slightly better the traditional layouts when there is a P&;D point in the lower center and the rest in the upper side of the warehouse. When every P&;D point is located in the upper side of the warehouse, the traditional layouts perform the best.
We introduce the rotated fishbone (RF) layout for the specific case of having two P&;D points at the upper corners of the warehouse. The RF layout shows to be more efficient than other layouts under unit-load operations.
Assuming a single centrally located P&;D point, we demonstrate that the fishbone layout is able to perform better than traditional layouts for order-picking systems, having a considerable advantage when there is turnover-based storage and the demand pattern of items is noticeably skewed.

Our results suggest that warehouses with two P&;D points at the upper corners and multi-command cycles are mostly efficient when utilizing a traditional layout with a middle cross aisle. The performance of nontraditional layouts is shown to be very poor for multi-command cycles and two P&;D points in the upper corners.
Dedication i
Acknowledgement ii
Table of Contents iii
List of Figures vi
List of Tables ix
Abstract xii
Chapter 1. Introduction 1
1.1 Motivation 1
1.2 Research Background 3
1.3 Warehousing Terminology 5
1.3.1 Warehouse Factors and Decisions 6
1.4 Research Objectives 7
1.5 Thesis Organization 8
Chapter 2. Literature Review 9
2.1 Warehouse Layout 9
2.2 Storage Policies 12
2.3 Picking Strategies 14
2.4 Picker Routing Policies 16
2.5 Summary 18
Chapter 3. Research Methodology 20
3.1 Assumptions 20
3.2 Warehouse Aisle Layouts 21
3.3 Warehouse Characteristics 23
3.4 Order Pickers and Routing 27
3.5 Demand Model 28
3.5.1 Application of Demand Patterns 29
3.6 Travel Distance Models 30
3.7 Experimental Design 31
Chapter 4. Discussion and Analyses of Results 34
4.1 Unit-load Warehouses with more than one P&;D Point 34
4.1.1 Validation for Unit-load Warehouses 34
4.1.2 Unit-load Warehouses 37
4.2 Less-than-unit-load Warehouses 54
4.2.1 Program Validation 54
4.2.2 Warehouses with Multi-command Cycles 55
4.2.3 Warehouses with Two P&;D Points 61
Chapter 5. Conclusions and Future Research 68
5.1 Conclusions 68
5.2 Future research 71
References 73
Appendix 79
Appendix A. Validation results for warehouses with a single P&;D 79
Appendix B. Unit-load warehouses with two P&;D points 81
Appendix C. Unit-load warehouses with two P&;D points and zone picking 82
Appendix D. ANOVA for unit-load warehouses with two P&;D points at the corners 84
Appendix E. Unit-load warehouses with multiple P&;D points 91
Appendix F. ANOVA for unit-load warehouses with multiple P&;D points 95
Appendix G. Less-than-unit-load warehouses with asingle P&;D point.. 102
Appendix H. ANOVA pairwise comparisons of factors for less-than-unit-load warehouses with one P&;D point 123
Appendix I. Less-than-unit-load warehouses with two P&;D points at the upper corners 128
Appendix J. ANOVA pairwise comparisons for less-than-unit-load warehouses with two P&;D points 142
1.Ackerman, K. B., Practical Handbook of Warehousing. Van Nostrand Rainhold, New York, USA, 1990.
2.Baker , P. and Canessa, M., "Warehouse design: A structured approach." European Journal of Operational Research, Vol. 193, pp. 425-436, 2009.
3.Bartholdi, J. J. and Hackman, S. T., Warehouse and Distribuition Science. Release 0.94. Atlanta, GA, 2011. Accessed on March 17th, 2012.
4.Bartholdi, J. J., Gue, K. R., Meller, R. D. and Usher, J. S., "Forword to special issue on facility logistics." IIE Transactions, Vol. 40, pp. 1005-1006, 2008.
5.Battista, C., Fumi A., Giordano F. and Schiraldi, M. M., "Storage location assignment problem: Implementation in a warehouse design optimization tool." Proceedings of the Conference "Breaking down the barriers between research and industry". Abano Terme, Padua, Italy, 2011.
6.Bender, P. S., "Mathematical modeling of the 20/20 rule: Theory and practice." Journal of Business Logistics, Vol. 2, pp. 139-157, 1982.
7.Chan, F. T. S. and Chan, H. K., "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, Vol. 38, pp. 2686-2700, 2011.
8.Chen, C. M., Gong, Y., de Koster, R. and van Nunen, J. A. E. E., "A flexible evaluative framework for order picking systems." Production and Operations Management, Vol. 19, pp. 70-82, 2010.
9.Clark, K. A., Incorporating vertical travel into non-traditional cross aisles for unt-load warehouses. B.Sc. Thesis. University of Arkansas, Arkansas, 2011.
10.Coyle, J. J., Bardi, E. J. and Langley, C. J., Management of Business Logistics: A Supply Chain Perspective, St. Paul, MN: South-Western College, 2002.
11.de Koster, R., Le-Duc, T. and Roodbergen, K. J., "Design and control of warehouse order picking: A literature review." European Journal of Operational Research, Vol. 182, pp. 481-501, 2007.
12.Dukic, G. and Opetuk, T., "Warehouse layouts." In Warehousing in the Global Supply Chain, by Ricardo Manzzini, pp. 55-70. Bologna, Italy: Springer, 2012.
13.Dukic, G., Cesnik, V. and Opetuk, T., "Order-picking methods and technologies for greener warehousing." Strojarstvo, Vol. 52, pp. 23-31, 2010.
14.Dukic, G. and Opetuk, T., "Analysis of order-picking in warehouses with fishbone layout." Proceedings of International Conference on Industrial Logistics. Tel Aviv, Israel, pp. 197-205, 2008.
15.Francis, R. L., McGinnes L. F. and White, J. A., Facility Layout and Location: An Analytical Approach. Englewood Cliffs, NJ: Prentice Hall, 1992.
16.Frazelle, E. H., "Stock location assignment and order picking productivity." Georgia Institute of Technology, PhD. Thesis, Novemeber 1989.
17.Frazelle, E. H. and Apple, J. M., The Distribution Management Handbook. McGraw-Hill, New York, 1994.
18.Frazelle, E. H., The Logistics of Supply Chain. McGraw-Hill, New York, USA, 2002.
19.Gademann, N., and Van de Velde, S., "Batching to minimize total travel time in a parallel-aisle warehouse." IIE Transactions, Vol. 37, pp. 63-75, 2005.
20.Goetschalckx, M. and Ratliff, H. D., "Shared storage policies based on the duration stay of unit loads." Management Science, Vol. 36, pp. 1120-1132, 1990.
21.Gu, J. X., Goetschalckx, M. and McGinnis, L. F., "Research on warehouse operation: A comprehensive review." European Journal of Operational Research, Vol. 177, pp. 1-21, 2007.
22.Gu, J. X., Goetschalckx, M. and McGinnis, L. F., "Research on warehouse design and performance evaluation." European Journal of Operational Research, Vol. 203, pp. 539-549, 2010.
23.Gue, K. R., Meller, R. D. and Skufca, J. D., "The effects of pick density on order picking areas with narrow aisles." IIE Transactions, Vol. 38, pp. 859-868, 2006.
24.Gue, K. R., Ivanovic, G. and Meller, R. D., "A unit-load warehouse with multiple pickup and deposit points and non-traditional aisles." Transportation Research Part E, Vol. 48, pp. 795-806, 2012.
25.Hall, R. W., "Distance approximation for routing manual pickers in a warehouse." IIE Transactions, Vol. 25, pp. 77-87, 1993.
26.Haskett, J. L., “Cube-per-order Index – A Key to Warehouse Stock Location.” Transportation and Distribution Management, Vol. 3, pp. 27-31, 1963.
27.Hausman, W. H., Scharz, L. B. and Graves, S. C., "Optimal storage assignment in autimatic warehousing system." Management Science, Vol. 22, pp. 629-638, 1976.
28.Hogg, R. V. and Tanis, E. A., Probability and Statistical Inference. 7th Ed., Pearson, 2005.
29.Hsieh, L. F. and Tsai, L. H., "The optimum design of a warehouse system on order picking efficiency." International Journal of Advanced Manufacturing Technologies, Vol. 28, pp. 626-637, 2006.
30.Hwang, H. S. and Cho, G. S., "A performance evaluation model for order picking warehouse design." Computers &; Industrial Engineering, Vol. 51, pp. 335-342, 2006.
31.Jewkes, E., Lee, C. and Vickson, R., "Product location, allocation and server home base location for an order picking line with multiple servers." Computers &; Operations Research, Vol. 31, pp. 623-636, 2004.
32.Lee, M. K., "Optimization of warehouse storage capacity under a dedicated storage policy." International Journal of Production Research, Vol. 43, pp. 1785-1805, 2005.
33.Limere, V., Celik, M., Pradhan, A. and Soldner, M., "Warehouseing efficiency in a small warehouse." IEEE Symposium Series on Computational Intelligence in Production and Logistics Systems, pp. 1-7, 2011.
34.Lin, C. H. and Lu, I. Y., "The procedure of determing the order picking strategies in distribution center." International Journal of Production Economics, Vol. 60, pp. 301-307, 1999.
35.Manzini, R., Gamberi, M., Persona, A. and Regattieri, A., "Design of a class-based storage picker to product order picking system." International Journal of Advanced Manufacturing Techonology, Vol. 32, pp. 811-821, 2007.
36.Meller, R. D. and Gue, K. R., "Improving the unit-load warehouse." Progress in Material Handling Research. Material Handling Industry of America, Charlotte, NC, 2006.
37.Meller, R. D. and Gue, K. R., "The application of new aisle designs." Proceedings of the NSF CMMI Engineering and Research Innovation. Honolulu, HI, 2009.
38.Muppani, V. R. and Adil, G. K., "Efficient formation of storage classes for warehouse storage location assignment: A simulated annealing approach." Omega, Vol. 36, pp. 609-618, 2008.
39.Ozturkoğlu, O., Gue, K. R. and Meller, R. D., "Optimal unit-load warehouse designs for singlecommand operations." IIE Transactions, Vol. 44, pp. 459-475, 2012.
40.Parikh, P. J. and Meller, R. D., "Selecting between batch and zone order picking strategies in a distribution center." Transportations Research Part E, Vol. 44, pp. 696-719, 2008.
41.Petersen, C. G., "An evaluation of order picking routing policies." International Journal of Operations &; Production Management, Vol 17, pp. 1098-1111, 1997.
42.Petersen, C. G., "The impact of routing and storage policies on warehouse efficiency." International Journal of Operations &; Production Management, Vol. 19, pp. 1053-1064, 1999.
43.Petersen, C. G., "Considerations in order picking zone configuration." International Journal of Operations &; Production Management, Vol. 22, pp. 793-805, 2002.
44.Petersen, C. G. and Aase, G., "A comparison of picking, storage, and routing policies in manual order picking." International Journal of Production Economics, Vol. 92, pp. 11-19, 2004.
45.Pohl, L. M., Meller, R. D. and Gue, K. R., "An evaluation of two new warehouse aisle designs for dual-command travel." Industrial Engineering Research Conference, Norcross, GA, pp. 740-745, 2007.
46.Pohl, L. M., Meller, R. D. and Gue, K. R., "Optimizaing fishbone aisles for dual-command operations in a warehouse." Naval Research Logistics, Vol. 56, pp. 389-403, 2009.
47.Pohl, L. M., Meller, R. D. and Gue, K. R., "Turnover-based storage in non-traditional unit load warehouse designs." IIE Transactions, Vol. 43, pp. 703-720, 2011.
48.Ratliff, H. D. and Rosenthal, A. S., "Order-picking in a rectangular warehouse: A solvable case of the travelling salesman problem." Operations Research, Vol. 31, pp. 507-521, 1983.
49.Roodbergen, K. J. and de Koster, R., "Routing methods for warehouses with multiple cross aisles." International Journal of Production Research, Vol. 39, pp. 1865-1883, 2001.
50.Roodbergen, K. J. and Vis, I. F. A., "A model for warehouse layout." IIE Transactions, Vol. 38, pp. 799-811, 2006.
51.Roodbergen, K. J., Sharp, G. P. and Vis, I. F. A., "Designing the layout structure of manual order picking areas in warehouses." IIE Transactions, Vol. 40, pp. 1032-1045, 2008.
52.Roodbergen, K. J., "An explanation of some rack layout concepts for warehouses." White paper, 2011.
53.Sooksaksun, N. and Kachitvichyanukul, V., "Performance evaluation of warehouse with one-block class-based storage strategy." Proceedings of the 10th Asia Pacific Industrial Engineering &; Management Systems Conference, Kitakyushu, Japan, 2019.
54.van den Berg, J. P. and Zijm, W. H. M., "Models for warehouse management: Classification and examples." International Journal of Production Economics, Vol. 59, pp. 519-528, 1999.
55.Vaughan, T. S. and Petersen, C. G., "The effect of warehouse cross aisles on order picking efficiency." International Journal of Production Research, Vol. 37, pp. 881-897, 1999.
56.Vrysagotis, V. and Patapios, A., "Warehouse layout problems: Types of problems and solution algorithms." Journal of Computations &; Modeling, Vol. 1, pp,131-152, 2011.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top