Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24856
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dc.contributor.authorVAN GILS, Teun-
dc.contributor.authorCARIS, An-
dc.contributor.authorRAMAEKERS, Katrien-
dc.date.accessioned2017-09-25T14:04:45Z-
dc.date.available2017-09-25T14:04:45Z-
dc.date.issued2017-
dc.identifier.citationBottani, Eleonora; Bruzzone, Agostino G.; Longo, Francesco; Merkuryev, Yuri; Piera, Miquel Angel (Ed.). Proceedings of the International Conference on Harbour, Maritime & Multimodal Logistics Modelling and Simulation,p. 53-61 (Art N° 11)-
dc.identifier.isbn9788897999874-
dc.identifier.urihttp://hdl.handle.net/1942/24856-
dc.description.abstractUpcoming e-commerce markets force warehouses to handle a large number of orders within short time windows. Narrow-aisle order picking systems allow to store a large number of products in small areas. In manual order picking systems, narrow aisles can result in substantial waiting time compared to wide-aisle systems. The objective of this study is to analyse the joint effect of the two main operational order picking planning problems, storage location assignment and order picker routing, on order picking time, including travel time and waiting time due to picker blocking. Multiple horizontal and vertical storage assignment policies, as well as multiple routing policies are simulated with the aim of reducing order picking time. The results of a full factorial ANOVA are used to formulate managerial guidelines to increase order picking efficiency in narrow-aisle systems in order to face the new e-commerce market developments resulting in enhanced customer service.-
dc.description.sponsorshipThis work is partially funded by the Interuniversity Attraction Poles Programme initiated by the Belgian Science Policy Office (research project COMEX, Combinatorial Optimization: Metaheuristics & Exact Methods). The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government – department EWI.-
dc.language.isoen-
dc.subject.otherwarehouse planning; order picking; picker blocking; simulation-
dc.titleThe Effect of Storage and Routing Policies on Picker Blocking in a Real-life Narrow-aisle Warehouse-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsBottani, Eleonora-
local.bibliographicCitation.authorsBruzzone, Agostino G.-
local.bibliographicCitation.authorsLongo, Francesco-
local.bibliographicCitation.authorsMerkuryev, Yuri-
local.bibliographicCitation.authorsPiera, Miquel Angel-
local.bibliographicCitation.conferencedate18-20/09/2017-
local.bibliographicCitation.conferencenameThe International Confererence on Harbour, Maritime & Multimodal Logistics Modelling and Simulation (HMS 2017)-
local.bibliographicCitation.conferenceplaceBarcelona, Spain-
dc.identifier.epage61-
dc.identifier.spage53-
local.bibliographicCitation.jcatC1-
dc.relation.referencesChan F.T.S., Chan H.K., 2011. 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 38, 2686–2700. Chen F., Wang H., Qi, C., Xie Y., 2013. An ant colony optimization routing algorithm for two order pickers with congestion consideration. Computers & Industrial Engineering 66, 77–85. Chen F., Wang H., Xie Y., Qi C., 2016. An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse. Journal of Intelligent Manufacturing 27, 389–408. Cohen B.H., Welkowitz J., Lea R.B., 2011. Introductory Statistics for the Behavioral Sciences (7th Edition). John Wiley & Sons, Hoboken, NJ, USA. De Koster R., Le-Duc T., Roodbergen K.J., 2007. Design and control of warehouse order picking: A literature review. European Journal of Operational Research 182, 481–501. De Koster R., Van Der Poort E., 1998. Routing order pickers in a warehouse: a comparison between optimal and heuristic solutions. IIE transactions 30, 469–480. Field A., 2013. Discovering Statistics using IBM SPSS Statistics. SAGE. Geisser S., Greenhouse S.W., 1958. An extension of box’s results on the use of the F distribution in multivariate analysis. The Annals of Mathematical Statistics 29, 885–891. Gue K.R., Meller R.D., Skufca J.D., 2006. The Effects of Pick Density on Order Picking Areas With Narrow Aisles. IIE Transactions, 38 38, 859–868. Hong S., Johnson A.L., Peters B.A., 2012. Batch picking in narrow-aisle order picking systems with consideration for picker blocking. European Journal of Operational Research 221, 557–570. Martin N., Bax F., Depaire B., Caris A., 2016. Retrieving resource availability insights from event logs, in: Enterprise Distributed Object Computing Conference (EDOC), 2016 IEEE 20th International. IEEE, pp. 1–10. Pan J.C.-H., Shih P.-H., 2008. Evaluation of the throughput of a multiple-picker order picking system with congestion consideration. Computers & Industrial Engineering 55, 379–389. Pan J.C.-H., Wu M.-H., 2012. Throughput analysis for order picking system with multiple pickers and aisle congestion considerations. Computers & Operations Research 39, 1661–1672. Parikh P.J., Meller R.D., 2009. Estimating picker blocking in wide-aisle order picking systems. IIE Transactions 41, 232–246. Petersen C.G., Aase G., 2004. A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics 92, 11–19. Petersen C.G., Schmenner R.W., 1999. An Evaluation of Routing and Volume-based Storage Policies in an Order Picking Operation. Decision Sciences 30, 481–501. Roodbergen K.J., De Koster R., 2001. Routing methods for warehouses with multiple cross aisles. International Journal of Production Research 39, 1865–1883. Roodbergen K.J., Vis I.F.A., Don Taylor Jr G., 2015. Simultaneous determination of warehouse layout and control policies. International Journal of Production Research 53, 3306–3326. Theys C., Bräysy O., Dullaert W., Raa B., 2010. Using a TSP heuristic for routing order pickers in warehouses. European Journal of Operational Research 200, 755–763. Van Gils T., Braekers K., Ramaekers K., Depaire B., Caris A., 2016. Improving Order Picking Efficiency by Analyzing Combinations of Storage, Batching, Zoning, and Routing Policies, in: Paias, A., Ruthmair, M., Voß, S. (Eds.), Lecture Notes in Computational Logistics, Lecture Notes in Computer Science. Springer International Publishing, pp. 427–442.-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.bibliographicCitation.artnr11-
local.type.programmeVSC-
local.bibliographicCitation.btitleProceedings of the International Conference on Harbour, Maritime & Multimodal Logistics Modelling and Simulation-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.validationvabb 2020-
item.contributorVAN GILS, Teun-
item.contributorCARIS, An-
item.contributorRAMAEKERS, Katrien-
item.fullcitationVAN GILS, Teun; CARIS, An & RAMAEKERS, Katrien (2017) The Effect of Storage and Routing Policies on Picker Blocking in a Real-life Narrow-aisle Warehouse. In: Bottani, Eleonora; Bruzzone, Agostino G.; Longo, Francesco; Merkuryev, Yuri; Piera, Miquel Angel (Ed.). Proceedings of the International Conference on Harbour, Maritime & Multimodal Logistics Modelling and Simulation,p. 53-61 (Art N° 11).-
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