Approach for profiling warehousing activity using customer's order data history.
Abstract
Categories
Authors
References
Accorsi, R., Manzini, R. and Maranesi, F. (2014) ‘A decision-support system for the design and management of warehousing systems’, Computers in Industry. Elsevier, 65(1), pp. 175–186.
Agrawal, R., Imieliński, T. and Swami, A. (1993) ‘Mining association rules between sets of items in large databases’, in Acm sigmod record, pp. 207–216.
Andres, B. (ed.) (2018) Encuesta Nacional Logística 2018. Available at: https://onl.dnp.gov.co/es/Publicaciones/SiteAssets/Paginas/Forms/AllItems/Informe de resultados Encuesta Nacional Logística 2018.pdf.
Baker, P. and Canessa, M. (2009) ‘Warehouse design: A structured approach’, European Journal of Operational Research. Elsevier, 193(2), pp. 425–436.
Bartholdi, J. J. and Hackman, S. T. (2008) Warehouse & Distribution Science: Release 0.89. Supply Chain and Logistics Institute.
Chackelson, C., Errasti, A. and Tanco, M. (2011) ‘A World Class Order Picking Methodology: An Empirical Validation’, in IFIP International Conference on Advances in Production Management Systems, pp. 27–36.
Chen, M.-C. et al. (2005) ‘Aggregation of orders in distribution centers using data mining’, Expert Systems with Applications. Elsevier, 28(3), pp. 453–460.
Chuang, Y.-F., Lee, H.-T. and Lai, Y.-C. (2012) ‘Item-associated cluster assignment model on storage allocation problems’, Computers & industrial engineering. Elsevier, 63(4), pp. 1171–1177.
Errasti, A. et al. (2011) ‘Diseño de un sistema de picking producto a operario. Aplicación del diseño de experimentos mediante simulación de eventos discretos.’, Dyna, 86(5), pp. 515–522.
Frazelle, E. (2002a) Supply Chain Strategy : The Logistics of Supply Chain Management, The McGraw-Hill Companies. doi: 10.1036/0071418172.
Frazelle, E. (2002b) World-Class Warehousing and Material Handling, New York. Edited by McGraw-Hill. McGraw-Hill.
Van Gils, T. et al. (2018) ‘Designing efficient order picking systems by combining planning problems: State-of-the-art classification and review’, European Journal of Operational Research. Elsevier, 267(1), pp. 1–15.
Goetschalckx, M. and Ashayeri, J. (1989) ‘Classification and design of order picking’, Logistics World. MCB UP Ltd, 2(2), pp. 99–106.
Han, J., Pei, J. and Kamber, M. (2011) Data mining: concepts and techniques. Elsevier.
Hsieh, L. and Tsai, L. (2006) ‘The optimum design of a warehouse system on order picking efficiency’, The International Journal of Advanced Manufacturing Technology. Springer, 28(5–6), pp. 626–637.
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. Elsevier, 182(2), pp. 481–501.
Park, B. C. (2011) ‘Order Picking Performance’, 대한산업공학회지, 37(4), pp. 271–278.
Rouwenhorst, B. et al. (2000) ‘Warehouse design and control: Framework and literature review’, European Journal of Operational Research. Elsevier, 122(3), pp. 515–533.
SPSS (2001) The SPSS TwoStep Cluster Component A scalable component enabling more efficient customer segmentation.
Yener, F. and Yazgan, H. R. (2019) ‘Optimal warehouse design: Literature review and case study application’, Computers & Industrial Engineering. Elsevier, 129, pp. 1–13.