[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123283-en":3,"doc-seo-123283-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},123283,1099514067438,"River Wang","https://ap-avatar.wpscdn.com/avatar/100002539ee87300030?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780474512215547542",8,"Research & Report","Machine Learning for Sequential Decisions in Logistics - Dissertation","Machine Learning for Sequential Decisions in Logistics presents a dissertation on applying machine learning methods to decision-making problems arising in logistics and supply/distribution operations. The work structures research around sequential decision settings, introducing a guiding framework for machine learning in sequential decision making. It develops models and solution approaches for inventory reordering and inspection with multi-item settings, supply problems with mode-dependent failure rates, joint inventory replenishment with large discrete action spaces, and distribution logistics using customer selection distance approximations and reinforcement learning for stochastic requests.","Machine Learning for Sequential Decisions in Logistics  \nFabian Akkerman  \nMachine Learning for Sequential Decisions in Logistics  \nDissertation  \nto obtain  \nthe degree of doctor at the University of Twente on the authority of the rector magnificus [prof.dr.ir. A. Veldkamp](prof.dr.ir. A. Veldkamp),  \non account of the decision of the Doctorate Board to be publicly defended on Friday April 4th, 2025 at 14.45 hours  \nby  \nFabian Ruben Akkerman  \nborn on March 25th, 1997  \nin Enschede, the Netherlands  \nThis dissertation has been approved by:  \nPromotors:  \n[prof.dr.ir. M.R.K. Mes](prof.dr.ir. M.R.K. Mes)  \n[prof.dr](prof.dr). M.E. Iacob†  \nCo-promotor:  \ndr. W.L. van Jaarsveld  \nCover: Biosphre de Montral, Wirestock  \nPrinted by: Ipskamp Printing  \nISBN: 978-90-365-6533-2 (printed version)  \n978-90-365-6534-9 (electronic version)  \n© 2025, Fabian Akkerman, The Netherlands.  \nAll rights reserved. No parts of this thesis may be reproduced, stored in a retrieval system or transmitted in any form or by any means without permission of the author. Alle rechten voorbehouden. Niets uit deze uitgave mag worden vermenigvuldigd, in enige vorm of openige wijze, zonder voorafgaande schriftelijke toestemming van de auteur.  \nGraduation committee:  \nChair/Secretary: prof.dr. T. Bondarouk  \nUniversity of Twente, BMS, Human Resource Management  \nPromotors: [prof.dr.ir. M.R.K. Mes](prof.dr.ir. M.R.K. Mes)  \nUniversity of Twente, BMS, Industrial Engineering & Business Information Systems  \nprof.dr. M.E. Iacob†  \nUniversity of Twente, BMS, Industrial Engineering & Business Information Systems  \nCo-promotor: dr. W.L. van Jaarsveld  \nEindhoven University of Technology, Operations Planning Accounting & Control  \nComittee members: prof.dr. R.N. Boute  \nKU Leuven, Operations Management Research Group  \nprof.dr. I.F.A. Vis  \nUniversity of Groningen, Faculty of Economics and Business  \n[prof.dr.ir. N.A.H. Agatz](prof.dr.ir. N.A.H. Agatz)  \nErasmus University Rotterdam, Department of  \nTechnology and Operations Management  \nprof.dr. L. Spierdijk  \nUniversity of Twente, BMS, Financial Engineering  \nprof.dr. J. van Hillegersberg  \nUniversity of Twente, BMS, Industrial Engineering & Business Information Systems  \nContents  \nPart I: Introduction 1  \n1 Introduction 3  \n1.1 Sequential Decisions in Logistics ...................... 4  \n1.2 Machine Learning for Sequential Decisions ................ 7  \n1.3 Research Design ................................ 8  \n1.4 Positioning in the Literature ......................... 9  \n1.5 Guiding Framework for ML in Sequential Decision Making ....... 13  \n1.6 Main Contributions and Thesis Outline .................. 17  \n1.7 Academic Articles ............................... 24  \nPart II: Supply Logistics 27  \n2 Dynamic Reordering and Inspection for the Multi-item IRI Problem 29  \n2.1 Introduction .................................. 30  \n2.2 Related Literature ............................... 32  \n2.3 Model ...................................... 36  \n2.4 Solution Methodology ............................ 40  \n2.5 Results ..................................... 45  \n2.6 Conclusion ................................... 55  \nAppendices Chapter 2 59  \n3 Dual Sourcing Problems with Supply Mode Dependent Failure Rates 67  \n3.1 Introduction .................................. 68  \n3.2 Literature Review ............................... 70  \n3.3 Problem Formulation ............................. 74  \n3.4 Solution Approaches ............................. 81  \n3.5 Numerical Experiments ........................... 85  \n3.6 Conclusion ................................... 96  \nAppendices Chapter 3 99  \n4 Large Discrete Action Spaces in Joint Inventory Replenishment 107  \n4.1 Introduction .................................. 108  \n4.2 Related Literature ............................... 108  \n4.3 Problem Description ............................. 110  \n4.4 Methodology ................................. 113  \n4.5 Experimental Design ............................","cbCaireZpKrFpunW","https://ap.wps.com/l/cbCaireZpKrFpunW","pdf",35497991,1,372,"English","en",105,"# Part I: Introduction\n## 1 Introduction\n## 1.1 Sequential Decisions in Logistics\n## 1.2 Machine Learning for Sequential Decisions\n## 1.3 Research Design\n## 1.4 Positioning in the Literature\n## 1.5 Guiding Framework for ML in Sequential Decision Making\n## 1.6 Main Contributions and Thesis Outline\n## 1.7 Academic Articles\n# Part II: Supply Logistics\n## 2 Dynamic Reordering and Inspection for the Multi-item IRI Problem\n## 3 Dual Sourcing Problems with Supply Mode Dependent Failure Rates\n## 4 Large Discrete Action Spaces in Joint Inventory Replenishment\n# Part III: Distribution Logistics\n## 5 Distance Approximation for Customer Selection in VRPs\n## 6 RL for DVRPs with stochastic customer requests\n# Part IV: Revenue Management in Distribution Logistics\n## 7 Learning Dynamic Selection and Pricing of Out-of-Home Deliveries\n## 8 Dynamic Time Slot Pricing using Delivery Costs Approximations","[{\"question\":\"What is the focus of this dissertation in logistics?\",\"answer\":\"It focuses on applying machine learning to sequential decision-making problems in logistics, covering supply, distribution, and revenue management settings.\"},{\"question\":\"What kinds of decision problems are studied in the supply logistics part?\",\"answer\":\"The supply logistics sections address dynamic reordering and inspection for multi-item settings, dual sourcing with mode-dependent failure rates, and joint inventory replenishment with large discrete action spaces.\"},{\"question\":\"How does the dissertation handle distribution logistics decisions?\",\"answer\":\"It covers distance approximation for customer selection in vehicle routing problems and reinforcement learning approaches for distribution vehicle routing problems with stochastic customer requests.\"}]","Machine Learning for Sequential Decisions in Logistics - Dissertation | PDF",1785815729,937,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-for-sequential-decisions-in-logistics-dissertation","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-for-sequential-decisions-in-logistics-dissertation/123283/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the focus of this dissertation in logistics?","Question",{"text":75,"@type":76},"It focuses on applying machine learning to sequential decision-making problems in logistics, covering supply, distribution, and revenue management settings.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What kinds of decision problems are studied in the supply logistics part?",{"text":80,"@type":76},"The supply logistics sections address dynamic reordering and inspection for multi-item settings, dual sourcing with mode-dependent failure rates, and joint inventory replenishment with large discrete action spaces.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the dissertation handle distribution logistics decisions?",{"text":84,"@type":76},"It covers distance approximation for customer selection in vehicle routing problems and reinforcement learning approaches for distribution vehicle routing problems with stochastic customer requests.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]