| Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence SS Özarık, LP Veelenturf, T Van Woensel, G Laporte Transportation Research Part E: Logistics and Transportation Review 148, 102263, 2021 | 57 | 2021 |
| Machine Learning for Data-Driven Last-Mile Delivery Optimization S Serkan Özarık, P da Costa, AM Florio Machine Learning for Data-Driven Last-Mile Delivery Optimization (January 19 …, 2022 | 5* | 2022 |
| An Adaptive Large Neighborhood Search heuristic for last-mile deliveries under stochastic customer availability and multiple visits SS Özarık, V Lurkin, LP Veelenturf, T Van Woensel, G Laporte Transportation Research Part B: Methodological 170, 194-220, 2023 | 4 | 2023 |
| A machine learning framework for last-mile delivery optimization A Florio, P Da Costa, SS Özarik Technical Proceeding of the 2021 Last Mile Routing Research Challenge, 2021 | 3 | 2021 |
| Distribution based representative sets for multi-objective integer programs SS Özarık, B Lokman, M Köksalan European Journal of Operational Research 284 (2), 632-643, 2020 | 2 | 2020 |
| Issues in selecting a representative set for multi-objective integer programs SS Özarık Middle East Technical University, 2017 | 2 | 2017 |
| Attended Home Delivery in Last-Mile Logistics SS Özarık, V Lurkin, L Veelenturf, T Van Woensel, G Laportec Available at SSRN 4029679, 2022 | 1 | 2022 |
Tom Van WoenselFull Professor of Freight Transport & Logistics, Eindhoven University of Technology確認したメール アドレス: tue.nl
