Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22615
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dc.contributor.authorVAN GILS, Teun-
dc.contributor.authorBRAEKERS, Kris-
dc.contributor.authorRAMAEKERS, Katrien-
dc.contributor.authorDEPAIRE, Benoit-
dc.contributor.authorCARIS, An-
dc.date.accessioned2016-11-15T10:01:14Z-
dc.date.available2016-11-15T10:01:14Z-
dc.date.issued2016-
dc.identifier.citationPaias, Ana; Ruthmair, Mario; Voß, Stefan (Ed.). Computational Logistics; 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings, Springer International Publishing,p. 427-442-
dc.identifier.isbn9783319448954-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/22615-
dc.description.abstractIn order to differentiate from competitors in terms of customer service, warehouses accept late orders while providing delivery in a quick and timely way. This trend leads to a reduced time to pick an order. The objective of this research is to simulate and evaluate the interaction between several storage, batching, zone picking and routing policies in order to reduce the order picker travel distance. The value of integrating these four operation policy decisions is proven by a real-life case study. A full factorial ANOVA provides insight into the interactions between storage, batching, zoning, and routing policies. The results of the study clearly indicate that warehouses can achieve significant benefits by considering storage, batching, zone picking, and routing policies simultaneously. Awareness of the influence of an individual policy decision on the overall warehouse performance is required to manage warehouse operations, resulting in enhanced customer service.-
dc.description.sponsorshipThis work is supported by the Interuniversity Attraction Poles Programme initiated by the Belgian Science Policy Office (research project COMEX, Combinatorial Optimization: Metaheuristics & Exact Methods.-
dc.language.isoen-
dc.publisherSpringer International Publishing-
dc.relation.ispartofseriesLecture Notes in Computer Science-
dc.rights© Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.-
dc.subject.otherorder picking; storage; order batching; zone picking; routing; warehouse policies interactions-
dc.titleImproving Order Picking Efficiency by Analyzing Combinations of Storage, Batching, Zoning, and Routing Policies-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsPaias, Ana-
local.bibliographicCitation.authorsRuthmair, Mario-
local.bibliographicCitation.authorsVoß, Stefan-
local.bibliographicCitation.conferencedate7-9 September 2016-
local.bibliographicCitation.conferencename7th International Conference on Computational Logistics (ICCL’16)-
local.bibliographicCitation.conferenceplaceLisbon, Portugal-
dc.identifier.epage442-
dc.identifier.spage427-
local.bibliographicCitation.jcatC1-
local.publisher.placeCham, Switzerland-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.identifier.vabbc:vabb:415000-
dc.identifier.doi10.1007/978-3-319-44896-1_28-
local.bibliographicCitation.btitleComputational Logistics; 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings-
item.validationvabb 2018-
item.contributorVAN GILS, Teun-
item.contributorBRAEKERS, Kris-
item.contributorRAMAEKERS, Katrien-
item.contributorDEPAIRE, Benoit-
item.contributorCARIS, An-
item.fullcitationVAN GILS, Teun; BRAEKERS, Kris; RAMAEKERS, Katrien; DEPAIRE, Benoit & CARIS, An (2016) Improving Order Picking Efficiency by Analyzing Combinations of Storage, Batching, Zoning, and Routing Policies. In: Paias, Ana; Ruthmair, Mario; Voß, Stefan (Ed.). Computational Logistics; 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings, Springer International Publishing,p. 427-442.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
Appears in Collections:Research publications
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