A flow picking system for order fulfillment in e-commerce warehouses

References

• Azadeh, K., Koster, R.D. and Roy, D. (2019) Robotized and automated warehouse systems: Review and recent developments. Transportation Science, 53(4), 917–945.
   Web of Science ®Google Scholar
• Azadeh, K., Roy, D. Koster, R. D. (2019) Design, modeling, and analysis of vertical robotic storage and retrieval systems. Transportation Science, 53(5), 1213–1234.
   Web of Science ®Google Scholar
• Bartholdi, III, J. and Eisenstein, D. (1996a) A production line that balances itself. Operations Research, 44(1), 21–34.
   Web of Science ®Google Scholar
• Bartholdi, III, J. and Eisenstein, D. (1996b) Bucket brigades: A self-balancing order-picking system for a warehouse. Working paper, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA.
   Google Scholar
• Bartholdi, III, J. and Hackman, S.T. (2017) Warehouse and Distribution Science: Release 0.98. http://www.warehouse-science.com. Accessed 2 June 2019.
   Google Scholar
• Bonn. (2016) DHL employs robot as picker’s best companion. https://www.dhl.com/en/press/releases/releases_2016/all/logistics/dhl_employs_robot_as_pickers_best_co-mpanion.html Accessed December 30, 2019.
   Google Scholar
• Bradley, P. (2007) Smoothing the waves. http://www.dcvelocity.com/articles/20070901equipmentapplications/. Accessed August 6, 2017.
   Google Scholar
• Bukchin,Y., Hanany, E. and Khmelnitsky, E. (2018) Bucket brigade with stochastic worker pace. IISE Transactions, 50(12), 1027–1042.
   Web of Science ®Google Scholar
• Cheng, C., Chen, Y. Chen, T. and Jung-Woon Yoo, J. (2015). Using a hybrid approach based on the particle swarm optimization and ant colony optimization to solve a joint order batching and picker routing problem. International Journal of Production Economics, 170, 805–814.
   Web of Science ®Google Scholar
• De Koster, R., Le-Duc, T. and Roodbergen, K. J. (2007) Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2), 481–501.
   Web of Science ®Google Scholar
• Gallien, J. and Weber, T. (2010) To wave or not to wave? Order release policies for warehouses with an automated sorter. Manufacturing & Service Operations Management, 12(4), 642–662.
   Web of Science ®Google Scholar
• Giannikas, V., Lu, W., Robertson, B. and McFarlane, D. (2017) An interventionist strategy for warehouse order picking: Evidence from two case studies. International Journal of Production Economics, 189, 63–76.
   Web of Science ®Google Scholar
• Gong, Y. and de Koster, R. (2008) A polling-based dynamic order picking system for online retailers. IIE Transactions, 40(11), 1070–1082.
   Web of Science ®Google Scholar
• Henn, S. and 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.
   Web of Science ®Google Scholar
• Kulak, O., Sahin, Y. and 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.
   Web of Science ®Google Scholar
• Lamballais, T., Roy, D. and De Koster (2017) Estimating performance in a robotic mobile fulfillment system. European Journal of Operational Research, 256(3), 976–990.
   Web of Science ®Google Scholar
• Lamballais Tessensohn, T., Roy, D. and De Koster, R.B.M. (2019) Inventory allocation in robotic mobile fulfillment systems. IISE Transactions, 52(1) 1–17.
   Web of Science ®Google Scholar
• Li, J., Huang, R. and Dai, J.B. (2017) Joint optimisation of order batching and picker routing in the online retailer’s warehouse in China. International Journal of Production Research, 55(2), 447–461.
   Web of Science ®Google Scholar
• Lin, C., Kang, J., Hou, C. and Cheng, C. (2016) Joint order batching and picker Manhattan routing problem. Computers & Industrial Engineering, 95, 164–174.
   Web of Science ®Google Scholar
• Menéndez, B., Pardo, E.G., Alonso-Ayuso, A., Molina, E. and Duarte, A. (2017). Variable neighborhood search strategies for the order batching problem. Computers & Operations Research, 78, 500–512.
   Web of Science ®Google Scholar
• Napolitano, M. (2012) 2012 warehouse/DC operations survey: Mixed signals. http://www.logisticsmgmt.com/article/2012_warehou-se_dc_operations_survey_mixed_signals. August 6, 2017.
   Google Scholar
• Roodbergen, K.J. and Koster, R. (2001) Routing methods for warehouses with multiple cross aisles. International Journal of Production Research, 39(9), 1865–1883.
   Web of Science ®Google Scholar
• Rubrico, J.I.U., Higashi, T., Tamura, H. and Ota, J. (2011) Online rescheduling of multiple picking agents for warehouse management. Robotics and Computer-Integrated Manufacturing, 27(1), 62–71.
   Web of Science ®Google Scholar
• Schleyer, M. and Gue, K. (2012) Throughput time distribution analysis for a one-block warehouse. Transportation Research Part E: Logistics and Transportation Review, 48(3), 652–666.
   Web of Science ®Google Scholar
• van der Gaast, J.P., de Koster, R.B.M. and Adan, I.J.B.F. (2019) Optimizing product allocation in a polling-based milkrun picking system. IISE Transactions, 51(5), 486–500.
   Web of Science ®Google Scholar
• Weidinger, F., Boysen, N., and Briskorn, D. (2018) Storage assignment with rack-moving mobile robots in KIVA warehouses. Transportation Science, 52(6), 1479–1495.
   Web of Science ®Google Scholar
• Xu, X., Liu, T., Li, K. and Dong, W. (2014) Evaluating order throughput time with variable time window batching. International Journal of Production Research, 52(8), 2232–2242.
   Web of Science ®Google Scholar
• Zhang, J., Wang, X. and Huang, K. (2016) Integrated on-line scheduling of order batching and delivery under B2C e-commerce. Computers & Industrial Engineering, 94, 280–289.
   Web of Science ®Google Scholar
• Zou, B., Koster, R.D. and Xu, X. (2018) Operating policies in robotic compact storage and retrieval systems. Transportation Science, 52(4), 788–811.
   Web of Science ®Google Scholar