@article{alcaraz2019, title={Rich vehicle routing problem with last-mile outsourcing decisions}, author={Alcaraz, Juan J and Caballero-Arnaldos, Luis and Vales-Alonso, Javier}, year={2019}, journal={Transportation Research Part E: Logistics and Transportation Review}, volume={129}, pages={263--286} } @article{assimakopoulos2000, title={The theta model: a decomposition approach to forecasting}, author={Assimakopoulos, Vassilis and Nikolopoulos, Konstantinos}, year={2000}, journal={International Journal of Forecasting}, volume={16}, number={4}, pages={521--530} } @inproceedings{bao2004, title={Forecasting intermittent demand by SVMs regression}, author={Bao, Yukun and Wang, Wen and Zhang, Jinlong}, year={2004}, booktitle={2004 IEEE International Conference on Systems, Man and Cybernetics}, volume={1}, pages={461--466} } @article{barbour2014, title={psd: Adaptive, sine multitaper power spectral density estimation for R}, author={Barbour, Andrew J and Parker, Robert L}, year={2014}, journal={Computers \& Geosciences}, volume={63}, pages={1--8}, publisher={Elsevier} } @misc{bell2018, title = {Forecasting at Uber: An Introduction}, author={Bell, Franziska and Smyl, Slawek}, year={2018}, howpublished = {\url{https://eng.uber.com/forecasting-introduction/}}, note = {Accessed: 2020-10-01} } @article{berbeglia2010, title={Dynamic Pickup and Delivery Problems}, author={Berbeglia, Gerardo and Cordeau, Jean-Fran{\c{c}}ois and Laporte, Gilbert}, year={2010}, journal={European Journal of Operational Research}, volume={202}, number={1}, pages={8--15}, publisher={Elsevier} } @article{bergmann2020, title={Integrating first-mile pickup and last-mile delivery on shared vehicle routes for efficient urban e-commerce distribution}, author={Bergmann, Felix M and Wagner, Stephan M and Winkenbach, Matthias}, year={2020}, journal={Transportation Research Part B: Methodological}, volume={131}, pages={26--62}, publisher={Elsevier} } @article{box1962, title={Some statistical Aspects of adaptive Optimization and Control}, author={Box, George and Jenkins, Gwilym}, year={1962}, journal={Journal of the Royal Statistical Society. Series B (Methodological)}, volume={24}, number={2}, pages={297--343} } @article{box1964, title={An Analysis of Transformations}, author={Box, George and Cox, David}, year={1964}, journal={Journal of the Royal Statistical Society. Series B (Methodological)}, volume={26}, number={2}, pages={211--252} } @article{box1968, title={Some recent Advances in Forecasting and Control}, author={Box, George and Jenkins, Gwilym}, year={1968}, journal={Journal of the Royal Statistical Society. Series C (Applied Statistics)}, volume={17}, number={2}, pages={91--109} } @book{box2015, title={Time Series Analysis: Forecasting and Control}, author={Box, George and Jenkins, Gwilym and Reinsel, Gregory and Ljung, Greta}, series={Wiley Series in Probability and Statistics}, year={2015}, publisher={Wiley} } @book{breiman1984, title={Classification and Regression Trees}, author={Breiman, Leo and Friedman, Jerome and Olshen, R.A. and Stone, Charles}, year={1984}, publisher={Wadsworth} } @article{breiman2001, title={Random Forests}, author={Breiman, Leo}, year={2001}, journal={Machine Learning}, volume={45}, number={1}, pages={5--32} } @book{brockwell2016, title={Introduction to Time Series and Forecasting}, author={Brockwell, Peter and Davis, Richard}, series={Springer Texts in Statistics}, year={2016}, publisher={Springer} } @book{brown1959, title={Statistical Forecasting for Inventory Control}, author={Brown, Robert}, year={1959}, publisher={McGraw/Hill} } @article{chen2006a, title={Hourly Water Demand Forecast Model based on Bayesian Least Squares Support Vector Machine}, author={Chen, Lei and Zhang, Tu-qiao}, year={2006}, journal={Journal of Tianjin University}, volume={39}, number={9}, pages={1037--1042} } @article{chen2006b, title={Hourly Water Demand Forecast Model based on Least Squares Support Vector Machine}, author={Chen, Lei and Zhang, Tu-qiao}, year={2006}, journal={Journal of Harbin Institute of Technology}, volume={38}, number={9}, pages={1528--1530} } @article{cleveland1990, title={STL: A Seasonal-Trend Decomposition Procedure Based on Loess}, author={Cleveland, Robert and Cleveland, Williiam and McRae, Jean and Terpenning, Irma}, year={1990}, journal={Journal of Official Statistics}, volume={6}, number={1}, pages={3--73} } @article{croston1972, title={Forecasting and Stock Control for intermittent Demands}, author={Croston, J Do}, year={1972}, journal={Journal of the Operational Research Society}, volume={23}, number={3}, pages={289--303} } @book{dagum2016, title={Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation}, author={Dagum, Estela and Bianconcini, Silvia}, series={Statistics for Social and Behavioral Sciences}, year={2016}, publisher={Springer} } @article{dantzig1959, title={The truck dispatching problem}, author={Dantzig, George and Ramser, John}, year={1959}, journal={Management science}, volume={6}, number={1}, pages={80--91}, publisher={Informs} } @article{de2006, title={25 Years of Time Series Forecasting}, author={De Gooijer, Jan and Hyndman, Rob}, year={2006}, journal={International Journal of Forecasting}, volume={22}, number={3}, pages={443--473} } @inproceedings{drucker1997, title={Support Vector Regression Machines}, author={Drucker, Harris and Burges, Christopher and Kaufman, Linda and Smola, Alex and Vapnik, Vladimir}, year={1997}, booktitle={Advances in Neural Information Processing Systems}, pages={155--161}, organization={Springer} } @article{ehmke2018, title={Optimizing for total costs in vehicle routing in urban areas}, author={Ehmke, Jan Fabian and Campbell, Ann M and Thomas, Barrett W}, year={2018}, journal={Transportation Research Part E: Logistics and Transportation Review}, volume={116}, pages={242--265} } @article{ferrucci2013, title={A pro-active real-time Control Approach for Dynamic Vehicle Routing Problems dealing with the Delivery of urgent Goods}, author={Ferrucci, Francesco and Bock, Stefan and Gendreau, Michel}, year={2013}, journal={European Journal of Operational Research}, volume={225}, number={1}, pages={130--141}, publisher={Elsevier} } @article{gardner1985, title={Forecasting Trends in Time Series}, author={Gardner, Everette and McKenzie, Ed}, year={1985}, journal={Management Science}, volume={31}, number={10}, pages={1237--1246} } @article{hansen2006, title={Some Evidence on Forecasting Time-Series with Support Vector Machines}, author={Hansen, James and McDonald, James and Nelson, Ray}, year={2006}, journal={Journal of the Operational Research Society}, volume={57}, number={9}, pages={1053--1063} } @book{hastie2013, title={The Elements of Statistical Learning: Data Mining, Inference, and Prediction}, author={Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome}, year={2013}, publisher={Springer} } @article{herrera2010, title={Predictive Models for Forecasting Hourly Urban Water Demand}, author={Herrera, Manuel and Torgo, Lu{\'\i}s and Izquierdo, Joaqu{\'\i}n and P{\'e}rez-Garc{\'\i}a, Rafael}, year={2010}, journal={Journal of Hydrology}, volume={387}, number={1-2}, pages={141--150} } @misc{hirschberg2016, title = {McKinsey: The changing market for food delivery}, author={Hirschberg, Carsten and Rajko, Alexander and Schumacher, Thomas and Wrulich, Martin}, year={2016}, howpublished = "\url{https://www.mckinsey.com/industries/high-tech/ our-insights/the-changing-market-for-food-delivery}", note = {Accessed: 2020-10-01} } @article{ho1998, title={The Random Subspace Method for Constructing Decision Forests}, author={Ho, Tin Kam}, year={1998}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume={20}, number={8}, pages={832--844} } @article{holt1957, title={Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages}, author={Holt, Charles}, year={1957}, journal={ONR Memorandum}, volume={52} } @article{hou2018, title={Ride-matching and routing optimisation: Models and a large neighbourhood search heuristic}, author={Hou, Liwen and Li, Dong and Zhang, Dali}, year={2018}, journal={Transportation Research Part E: Logistics and Transportation Review}, volume={118}, pages={143--162} } @article{hyndman2002, title={A State Space Framework for Automatic Forecasting using Exponential Smoothing Methods}, author={Hyndman, Rob and Koehler, Anne and Snyder, Ralph and Grose, Simone}, year={2002}, journal={International Journal of Forecasting}, volume={18}, number={3}, pages={439--454} } @article{hyndman2003, title={Unmasking the Theta method}, author={Hyndman, Rob and Billah, Baki}, year={2003}, journal={International Journal of Forecasting}, volume={19}, number={2}, pages={287--290} } @article{hyndman2006, title={Another Look at Measures of Forecast Accuracy}, author={Hyndman, Rob and Koehler, Anne}, year={2006}, journal={International Journal of Forecasting}, volume={22}, number={4}, pages={679--688}, publisher={Elsevier} } @article{hyndman2008a, title={Automatic Time Series Forecasting: The forecast package for R}, author={Hyndman, Rob and Khandakar, Yeasmin}, year={2008}, journal={Journal of Statistical Software}, volume={26}, number={3} } @book{hyndman2008b, title={Forecasting with Exponential Smoothing: the State Space Approach}, author={Hyndman, Rob and Koehler, Anne and Ord, Keith and Snyder, Ralph}, year={2008}, publisher={Springer} } @book{hyndman2018, title={Forecasting: Principles and Practice}, author={Hyndman, Rob and Athanasopoulos, George}, year={2018}, publisher={OTexts} } @article{ichoua2006, title={Exploiting Knowledge about Future Demands for Real-time Vehicle Dispatching}, author={Ichoua, Soumia and Gendreau, Michel and Potvin, Jean-Yves}, year={2006}, journal={Transportation Science}, volume={40}, number={2}, pages={211--225}, publisher={INFORMS} } @article{janjevic2019, title={Integrating collection-and-delivery points in the strategic design of urban last-mile e-commerce distribution networks}, author={Janjevic, Milena and Winkenbach, Matthias and Merch{\'a}n, Daniel}, year={2019}, journal={Transportation Research Part E: Logistics and Transportation Review}, volume={131}, pages={37--67}, publisher={Elsevier} } @article{janjevic2020, title={Designing Multi-tier, Multi-service-level, and Multi-modal Last-Mile Distribution Networks for Omni-Channel Operations}, author={Janjevic, Milena and Merchan, Daniel and Winkenbach, Matthias}, year={2020}, journal={European Journal of Operational Research}, publisher={Elsevier} } @article{kim2016, title={A new Metric of Absolute Percentage Error for Intermittent Demand Forecasts}, author={Kim, Sungil and Kim, Heeyoung}, year={2016}, journal={International Journal of Forecasting}, volume={32}, number={3}, pages={669--679}, publisher={Elsevier} } @article{kwiatkowski1992, title={Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?}, author={Kwiatkowski, Denis and Phillips, Peter and Schmidt, Peter and Shin, Yongcheol}, year={1992}, journal={Journal of Econometrics}, volume={54}, number={1-3}, pages={159--178} } @misc{laptev2017, title = {Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks}, author={Laptev, Nikolay and Smyl, Slawek and Shanmugam, Santhosh}, year={2017}, howpublished = {\url{https://eng.uber.com/neural-networks/}}, note = {Accessed: 2020-10-01} } @article{lemke2010, title={Meta-Learning for Time Series Forecasting and Forecast Combination}, author={Lemke, Christiane and Gabrys, Bogdan}, year={2010}, journal={Neurocomputing}, volume={73}, number={10-12}, pages={2006--2016}, publisher={Elsevier} } @article{ma2018, title={Using the Gradient Boosting Decision Tree to Improve the Delineation of Hourly Rain Areas during the Summer from Advanced Himawari Imager Data}, author={Ma, Liang and Zhang, Guoping and Lu, Er}, year={2018}, journal={Journal of Hydrometeorology}, volume={19}, number={5}, pages={761-776}, } @article{masmoudi2018, title={The dial-a-ride problem with electric vehicles and battery swapping stations}, author={Masmoudi, Mohamed Amine and Hosny, Manar and Demir, Emrah and Genikomsakis, Konstantinos N and Cheikhrouhou, Naoufel}, year={2018}, journal={Transportation research part E: logistics and transportation review}, volume={118}, pages={392--420} } @inproceedings{mason2000, title={Boosting algorithms as gradient descent}, author={Mason, Llew and Baxter, Jonathan and Bartlett, Peter L and Frean, Marcus R}, year={2000}, booktitle={Advances in neural information processing systems}, pages={512--518} } @inproceedings{mueller1997, title={Predicting Time Series with Support Vector Machines}, author={M{\"u}ller, Klaus-Robert and Smola, Alexander and R{\"a}tsch, Gunnar and Sch{\"o}lkopf, Bernhard and Kohlmorgen, Jens and Vapnik, Vladimir}, year={1997}, booktitle={International Conference on Artificial Neural Networks}, pages={999--1004}, organization={Springer} } @article{mueller1999, title={Using Support Vector Machines for Time Series Prediction}, author={M{\"u}ller, Klaus-Robert and Smola, Alexander and R{\"a}tsch, Gunnar and Sch{\"o}lkopf, Bernhard and Kohlmorgen, Jens and Vapnik, Vladimir}, year={1999}, journal={Advances in Kernel Methods — Support Vector Learning}, pages={243--254}, publisher={MIT, Cambridge, MA, USA} } @book{ord2017, title={Principles of Business Forecasting}, author={Ord, Keith and Fildes, Robert and Kourentzes, Nikos}, year={2017}, publisher={WESSEX Press} } @article{pegels1969, title={Exponential Forecasting: Some new variations}, author={Pegels, C.}, year={1969}, journal={Management Science}, volume={15}, number={5}, pages={311--315} } @article{pillac2013, title={A Review of Dynamic Vehicle Routing Problems}, author={Pillac, Victor and Gendreau, Michel and Gu{\'e}ret, Christelle and Medaglia, Andr{\'e}s L}, year={2013}, journal={European Journal of Operational Research}, volume={225}, number={1}, pages={1--11}, publisher={Elsevier} } @article{prestwich2014, title={Mean-based Error Measures for Intermittent Demand Forecasting}, author={Prestwich, Steven and Rossi, Roberto and Tarim, Armagan and Hnich, Brahim}, year={2014}, journal={International Journal of Production Research}, volume={52}, number={22}, pages={6782--6791}, publisher={Taylor \& Francis} } @article{psaraftis2016, title={Dynamic Vehicle Routing Problems: Three Decades and Counting}, author={Psaraftis, Harilaos and Wen, Min and Kontovas, Christos}, year={2016}, journal={Networks}, volume={67}, number={1}, pages={3--31}, publisher={Wiley Online Library} } @article{reyes2018, title={The Meal Delivery Routing Problem}, author={Reyes, Damian and Erera, Alan and Savelsbergh, Martin and Sahasrabudhe, Sagar and O’Neil, Ryan}, year={2018}, journal={Optimization Online} } @incollection{scholkopf1998, title={Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces}, author={Sch{\"o}lkopf, Bernhard and Knirsch, Phil and Smola, Alex and Burges, Chris}, year={1998}, booktitle={Mustererkennung 1998}, publisher={Springer}, pages={125--132} } @book{singleton2017, title={Urban Analytics}, author={Singleton, Alex David and Spielman, Seth and Folch, David}, year={2017}, publisher={Sage} } @article{smola2004, title={A Tutorial on Support Vector Regression}, author={Smola, Alex and Sch{\"o}lkopf, Bernhard}, year={2004}, journal={Statistics and Computing}, volume={14}, number={3}, pages={199--222} } @article{snoeck2020, title={The value of physical distribution flexibility in serving dense and uncertain urban markets}, author={Snoeck, Andr{\'e} and Winkenbach, Matthias}, year={2020}, journal={Transportation Research Part A: Policy and Practice}, volume={136}, pages={151--177}, publisher={Elsevier} } @article{stitson1999, title={Support Vector Regression with ANOVA Decomposition Kernels}, author={Stitson, Mark and Gammerman, Alex and Vapnik, Vladimir and Vovk, Volodya and Watkins, Chris and Weston, Jason}, year={1999}, journal={Advances in Kernel Methods — Support Vector Learning}, pages={285--292}, publisher={MIT, Cambridge, MA, USA} } @article{syntetos2005, title={The Accuracy of Intermittent Demand Estimates}, author={Syntetos, Aris and Boylan, John}, year={2005}, journal={International Journal of forecasting}, volume={21}, number={2}, pages={303--314}, publisher={Elsevier} } @article{taylor2003, title={Exponential Smoothing with a Damped Multiplicative Trend}, author={Taylor, James}, year={2003}, journal={International Journal of Forecasting}, volume={19}, number={4}, pages={715--725} } @article{thomas2010, title={Dynamic vehicle routing}, author={Thomas, Barrett W}, year={2010}, journal={Wiley Encyclopedia of Operations Research and Management Science}, publisher={Wiley Online Library} } @book{toth2014, title={Vehicle Routing: Problems, Methods, and Applications}, author={Toth, Paolo and Vigo, Daniele}, year={2014}, publisher={SIAM} } @techreport{ulmer2017, title={The Restaurant Meal Delivery Problem: Dynamic Pick-up and Delivery with Deadlines and Random Ready Times}, author={Ulmer, Marlin and Thomas, Barrett and Campbell, Ann Melissa and Woyak, Nicholas}, year={2017}, institution={Technical Report} } @article{vapnik1963, title={Pattern Recognition using Generalized Portrait Method}, author={Vapnik, Vladimir and Lerner, A}, year={1963}, journal={Automation and Remote Control}, volume={24}, pages={774--780}, } @article{vapnik1964, title={A Note on one Class of Perceptrons}, author={Vapnik, Vladimir and Chervonenkis, A}, year={1964}, journal={Automation and Remote Control}, volume={25} } @book{vapnik2013, title={The Nature of Statistical Learning Theory}, author={Vapnik, Vladimir}, year={2013}, publisher={Springer} } @article{wang2009, title={Rule Induction for Forecasting Method Selection: Meta-learning the Characteristics of Univariate Time Series}, author={Wang, Xiaozhe and Smith-Miles, Kate and Hyndman, Rob}, year={2009}, journal={Neurocomputing}, volume={72}, number={10-12}, pages={2581--2594}, publisher={Elsevier} } @article{wang2018, title={Delivering meals for multiple suppliers: Exclusive or sharing logistics service}, author={Wang, Zheng}, year={2018}, journal={Transportation Research Part E: Logistics and Transportation Review}, volume={118}, pages={496--512} } @article{winkenbach2015, title={Enabling urban logistics services at La Poste through multi-echelon location-routing}, author={Winkenbach, Matthias and Kleindorfer, Paul R and Spinler, Stefan}, year={2015}, journal={Transportation Science}, volume={50}, number={2}, pages={520--540}, publisher={INFORMS} } @article{winters1960, title={Forecasting Sales by Exponentially Weighted Moving Averages}, author={Winters, Peter}, year={1960}, journal={Management Science}, volume={6}, number={3}, pages={324--342} } @article{yildiz2018, title={Provably High-Quality Solutions for the Meal Delivery Routing Problem}, author={Yildiz, Baris and Savelsbergh, Martin}, year={2018}, journal={Optimization Online} }