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The dissertation presents research conducted within an academic and industry collaboration context, including engagement with delivery operations and participation in relevant logistics initiatives. The work emphasizes practical insights gained from observing real grocery delivery processes, coordinating stakeholders, and studying operational constraints to support more efficient and reliable time slot planning. Results and reflections are grounded in the thesis journey and supporting collaborations.","EUR Research Information Portal  \nMachine learning for time slot management in grocery delivery  \nPublication status and date:  \nPublished: 27/03/2025  \nDocument Version  \nPublisher's PDF, also known as Version of record  \nCitation for the published version (APA):  \nvan der Hagen, L. (2025) . Machine learning for time slot management in grocery delivery. [Doctoral Thesis, Erasmus University Rotterdam] . Erasmus University Rotterdam (EUR) .  \nLink to publication on the EUR Research Information Portal  \nTerms and Conditions of Use  \nExcept as permitted by the applicable copyright law, you may not reproduce or make this material available to any third party without the prior written permission from the copyright holder(s) . Copyright law allows the following uses of this material without prior permission:  \n• you may download, save and print a copy of this material for your personal use only;  \n• you may share the EUR portal link to this material.  \nIn case the material is published with an open access license (e.g. a Creative Commons (CC) license), other uses may be allowed. Please check the terms and conditions of the specific license.  \nTake-down policy  \nIf you believe that this material infringes your copyright and/or any other intellectual property rights, you may request its removal by contacting us at the following email address: [openaccess.library@eur.nl. Please](openaccess.library@eur.nl. Please) provide us with all the relevant information, including the reasons why you believe any of your rights have been infringed. In case of a legitimate complaint, we will make the material inaccessible and/or remove it from the website.  \nLiana van der Hagen  \nMachine Learning for Time Slot Management in Grocery Delivery  \nMachine Learning for Time Slot Management in Grocery Delivery  \nMachine Learning for Time Slot Management in  \nGrocery Delivery  \nMachine learning voor het beheer van tijdvensters voor het bezorgen  \nvan boodschappen  \nThesis  \nto obtain the degree of Doctor from the  \nErasmus University Rotterdam  \nby command of the  \nRector Magnificus  \n[Prof.dr.ir. A.J. Schuit](Prof.dr.ir. A.J. Schuit)  \nand in accordance with the decision of the Doctorate Board.  \nThe public defence shall be held on  \nThursday 27 March 2025 at 15:30 hrs  \nby  \nLiana van der Hagen  \nborn in Rijswijk, The Netherlands.  \nDoctoral committee  \nPromotors: [Prof.dr.ir. N.A.H. Agatz](Prof.dr.ir. N.A.H. Agatz)  \n[Prof.dr.ir. M.B.M. de Koster](Prof.dr.ir. M.B.M. de Koster)  \nOther members: Prof.dr. M. Fleischmann  \nDr. S. Sharif Azadeh  \nProf.dr. A.P.M. Wagelmans  \nCo-promotor: Dr. R. Spliet  \nErasmus Research Institute of Management-ERIM  \nThe joint research institute of the Rotterdam School of Management (RSM) and the Erasmus School of Economics (ESE) at the Erasmus University Rotterdam Internet: [www.erim.eur.nl](www.erim.eur.nl)  \nERIM PhD Series in Research in Management, 595 ERIM reference number: EPS-2024-595-LIS  \nISBN 978-90-5892-719-4 ©2024, Liana van der Hagen  \nCover image: Marijke van Zuilen, [marijkevanzuilen@gmail.com](marijkevanzuilen@gmail.com)[ ](marijkevanzuilen@gmail.com)Cover design: PanArt, [www.panart.nl](www.panart.nl)  \nPrint: OBT bv, [www.obt.eu](www.obt.eu)  \nAll rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the author.  \nThis publication (cover and interior) is printed on certified FSC® paper PlanoSuperior.  \nAcknowledgements  \nThe completion of this dissertation is a very special milestone, and I am extremely grateful for the support and encouragement I have received from many people along the way. I would like to express my sincere appreciation to all those who have made my PhD journey not only fruitful, but also a very pleasant experience.  \nFirst of all I would like to thank my supervisors, Niels Agatz, René de Kost","cbCailcqbPnu88io","https://ap.wps.com/l/cbCailcqbPnu88io","pdf",11902505,7,1,144,"English","en",105,"# Acknowledgements\n## Supervisors and doctoral committee\n## City Logistics Living Lab (CILOLAB) collaboration\n## Collaboration with ORTEC and Albert Heijn Online","[{\"question\":\"What is the dissertation about?\",\"answer\":\"The dissertation focuses on machine learning methods for managing delivery time slots in grocery delivery operations.\"},{\"question\":\"Who supervised the doctoral research?\",\"answer\":\"The promotors listed are Prof.dr.ir. N.A.H. Agatz and Prof.dr.ir. M.B.M. de Koster, with co-promotor Dr. R. Spliet.\"},{\"question\":\"Which organizations were mentioned as key collaborators?\",\"answer\":\"The acknowledgements mention collaboration within City Logistics Living Lab (CILOLAB), ORTEC, and Albert Heijn Online, including support from TNO representatives.\"}]","Machine learning for time slot management in grocery delivery - Doctoral Thesis | PDF",1785904539,363,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"machine-learning-for-time-slot-management-in-grocery-delivery-doctoral-thesis","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/machine-learning-for-time-slot-management-in-grocery-delivery-doctoral-thesis/126337/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-24","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"What is the dissertation about?","Question",{"text":77,"@type":78},"The dissertation focuses on machine learning methods for managing delivery time slots in grocery delivery operations.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Who supervised the doctoral research?",{"text":82,"@type":78},"The promotors listed are Prof.dr.ir. 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