Abstract
In today’s competitive scenario of increasingly faster deliveries and smaller order sizes, a solution that is being used more frequently is the pick-and-pass Order Picking System (OPS). The purpose of this study is to define a framework for the pick-and-pass system design, by expanding previous literature on this topic. The framework aims at minimising the overall picking costs while respecting the required service level (i.e. order throughput time), and can be easily applied to the selection stage of OPS design. The number of zones and the number of pickers per zone are among the main project data for the framework application. Analytical models are used to estimate the travel distance, and network queuing theory to analyse the mean order throughput. On the basis of the proposed framework, pick-and-pass system performance is examined as a function of two typical design conditions: order size and number of items.
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References
Ashayeri J, Goetschalckx M (1989) Classification and design of order picking. Logistics Inf Manage 2(2):99–106
Drury J (1988) Towards more efficient order picking. IMM monograph no. 1. The Institute of Materials Management, Cranfield
de Koster R, Le-Duc T, Roodbergen K (2007) Design and control of warehouse order picking: a literature review. Eur J Op Res 182:481–501
Dallari F, Marchet G, Melacini M (2009) Design of order picking system. Int J Adv Manuf Technol 42(1–2):1–12
Goetschalckx M, McGinnis L, Sharp G, Bodner D, Govindaraj T, Huang K (2001) Development of a design methodology for warehousing systems: hierarchical framework. Proceedings of the Industrial Engineering Research, Orlando, FL, USA
Parikh PJ, Meller RD (2008) Selecting between batch and zone order picking strategies in a distribution center. Trans Res Part E 44:696–719
Petersen CG (2002) Considerations in order picking zone configuration. Int J Op Prod Manage 22(7):793–805
Koo PH (2009) The use of bucket brigades in zone order picking systems. OR Spectr 31(4):759–774
Gu J, Goetschalckx M, McGinnis LF (2007) Research on warehouse operation: a comprehensive review. Eur J Op Res 177(1):1–21
Yu M, de Koster R (2008) The impact of order batching and picking area zoning on order picking system performance. Eur J Op Res 198(2):480–490
Yoon CS, Sharp GP (1995) Example application of the cognitive design procedure for an order pick system: case study. Eur J Oper Res 87:223–246
Yoon CS, Sharp GP (1996) A structured procedure for analysis and design of order pick systems. IIE Trans 28:379–389
Yu M, de Koster R (2008) Performance approximation and design of pick-and-pass order picking systems. IIE Trans 10(11):1054–1069
Hwang H, Oh YH (2004) An evaluation of routing policies for order-picking operations in low-level picker-to-part system. Int J Prod Res 34(18):3873–3889
Frazelle EH, Apple JM (1996) Warehouse operations. In: Tompkins JA, Sharp GP (eds) Distribution management handbook. McGraw-Hill, New York
Pan JC, Wu M (2009) A study of storage assignment problem for an order picking line in a pick-and-pass warehousing system. Comp Ind Eng 57:261–268
Jane CC (2000) Storage location assignment in a distribution center. Int J Phys Distrib Logist Manag 30(1):55–71
Petersen CG (2000) An evaluation of order picking policies for mail order companies. Prod Op Manage 9(4):319–335
Jewkes E, Lee C, Vickson R (2004) Product location, allocation and server home base location for an order picking line with multiple servers. Comput Op Res 31:623–636
Meller RD, Parikh PJ (2006) The effect of batching orders on workload-imbalance in order picking systems. Progress in material handling research. Material Handling Institute, Charlotte, pp 271–286
de Koster R, Yu M (2008) Minimizing makespan and throughput times at Aalsmeer flower auction. J Oper Res Soc 59(9):1182–1190
Choe K, Sharp GP, Serfozo RS (1992) Aisle-based order pick systems with batching, zoning and sorting. Progress in material handling research. The Material Handling Industry of America, Charlotte, pp 245–276
de Koster R (1994) Performance approximation of pick-to-belt orderpicking systems. Eur J Op Res 72(3):558–573
Parikh PJ, Meller RD (2009) Estimating picker blocking in wide-aisle order picking systems. IIE Trans 41(3):232–246
Frazelle EH, Hackman ST, Passy U, Platzman LK (1994) The forward reserve problem. Optimization in industry, 2. Wiley, New York
Roodbergen KJ, Vis IFA (2006) A model for warehouse layout. IIE Trans 38(10):799–811
Le-Duc T, de Koster, MBM (2005) Determining number of zones in a pick-and-pack order picking system. ERIM Report Series Reference No. ERS-2005-029-LIS. Available at SSRN: http://ssrn.com/abstract = 800205
Hall RW (1993) Distance approximations for routeing manual pickers in a warehouse. IIE Trans 25:76–87
Hackman ST, Rosenblatt MJ, Olin JM (1990) Allocating items to an automated storage retrieval system. IIE Trans 22(1):7–14
Van der Berg JP, Sharp GP, Gademann AJRM (1998) Forward reserve allocation in a warehouse with unit-load replenishment. Eur J Op Res 111:98–113
Caron F, Marchet G, Perego A (1998) Routing policies and COI-based storage policies in picker-to-part systems. Int J Prod Res 36(3):713–732
Hillier FS, Lieberman GJ (2010) Introduction to operations research, 9th edn. McGraw-Hill, New York
Whitt W (1983) The queuing network analyzer. Bell Sys Tech J 62(9):2779–2815
Anupindi R, Chopra S, Deshmukh S, Van Mieghem JA, Zemel E (2006) Managing business process flows: principles of operations management, 2nd edn. Prentice-Hall, Upper Saddle River
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Melacini, M., Perotti, S. & Tumino, A. Development of a framework for pick-and-pass order picking system design. Int J Adv Manuf Technol 53, 841–854 (2011). https://doi.org/10.1007/s00170-010-2881-2
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DOI: https://doi.org/10.1007/s00170-010-2881-2