Adaptive stochastic lookahead policies for dynamic multi-period purchasing and inventory routing

Abstract: We present a problem motivated by discussions with Colombian e-commerce platforms for agri-food products. In regular time intervals (periods), the platforms collect groceries from local farmers and stores them at a warehouse to distribute them to local customers. The supply quantities and prices per farmer and the cumulated customer demand can change from period to period. Thus, there is value in purchasing more than needed in one period to exploit cheap prices and consolidation opportunities, to hedge against future uncertainty, and to save routing cost in future periods. A careful balance between too much and not enough inventory needs to be found, especially, since inventory perishes over time. The resulting optimization problem is a stochastic dynamic multi-period routing problem with inventory and purchasing decisions. The decision space of the problem is vast as it combines purchasing, inventory, and routing decisions. Further, the value of a decisions is unknown since it dep.... https://journals.ub.ovgu.de/index.php/FEMM-WPS/article/view/2165

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Adaptive stochastic lookahead policies for dynamic multi-period purchasing and inventory routing ; year:2023 ; Working paper series / Otto-von-Guericke-Universität Magdeburg / Fakultät für Wirtschaftswissenschaft ; (2023)

Contributors, Places and Time

• Creator: Cuellar-Usaquén, Daniel ; Ulmer, Martin W. ; Gómez, Camilo ; Álvarez-Martínez, David

Further information

• DOI: 10.24352/UB.OVGU-2023-097
• URN: urn:nbn:de:101:1-2023051122173111288085
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:55 AM CEST