Abstract
An aggregate model of an order-picking workstation is proposed for an automated warehouse with a goods-to-man order-picking system. A key aspect of the model is that the various stochasticities that contribute to the workstation performance are not modelled in detail. Rather, these are aggregated into a single effective process time distribution, which is calculated from arrival and departure times of products at the workstation. Two model variants have been developed namely for workstations processing products and orders in first-come-first-serve (FCFS) and non-FCFS sequence. Both model variants have been validated using data obtained from an operating order-picking workstation. The use of aggregate models in practice is then elaborated.
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References
Adan IJBF, van der Wal J (2011) Mean value techniques. In: Queueing networks: a fundamental approach, International series in operations research and management science, vol 154. Springer, Berlin, pp 561–586
Andriansyah R, de Koning WWH, Jordan RME, Etman LFP, Rooda JE (2008) Simulation study of miniload-workstation order picking system SE-Report 2008-07. Eindhoven University of Technology, Department of Mechanical Engineering, Eindhoven
Andriansyah R, de Koning WWH, Jordan RME, Etman LFP, Rooda JE (2011) A process algebra based simulation model of a miniload workstation order picking system. Comput Ind 62:292–300
Andriansyah R, Etman LFP, Rooda JE (2010) Aggregate modeling for flow time prediction of an end-of-aisle order picking workstation with overtaking. In: Winter simulation conference (WSC), Proceedings of the 2010, pp 2070–2081
Andriansyah R, Etman LFP, Rooda JE (2010) Flow time prediction for a single-server order picking workstation using aggregate process times. Int J Adv Syst Meas 3:35–47
Febrianie B (2011) Queueing models for compact picking systems. Master’s thesis. Eindhoven University of Technology, Department of Mathematics and Computer Science, Eindhoven
Gu J, Goetschalckx M, McGinnis LF (2010) Research on warehouse design and performance evaluation: a comprehensive review. Europ J Oper Res 203:539–549
Kock AAA (2008) Effective process times for aggregate modeling of manufacturing systems. Ph.D. thesis. Eindhoven University of Technology, Eindhoven
Kock AAA, Etman LFP, Rooda JE (2008) Effective process times for multi-server flowlines with finite buffers. IIE Trans 40:177–186
Kock AAA, Wullems FJJ, Etman LFP, Adan IJBF, Nijsse F, Rooda JE (2008) Performance measurement and lumped parameter modeling of single server flow lines subject to blocking: an effective process time approach. Comput Ind Eng 54:866–878
Liu L, Adan IJBF (2011) Queueing network analysis of compact picking systems. Working paper
Rouwenhorst B, Reuter B, Stockrahm V, van Houtum GJ, Mantel RJ, Zijm WHM (2000) Warehouse design and control: framework and literature review. Europ J Oper Res 122:515–533
Sun T (2010) Comparison and improvements of compact picking system models Master’s thesis. Eindhoven University of Technology, Department of Mathematics and Computer Science, Eindhoven
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© 2012 Springer-Verlag London Limited
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Andriansyah, R., Etman, P., Rooda, J. (2012). Aggregate Models of Order-Picking Workstations. In: Hamberg, R., Verriet, J. (eds) Automation in Warehouse Development. Springer, London. https://doi.org/10.1007/978-0-85729-968-0_5
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DOI: https://doi.org/10.1007/978-0-85729-968-0_5
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