IDEAS home Printed from https://ideas.repec.org/r/inm/ortrsc/v38y2004i2p135-148.html
   My bibliography  Save this item

Real-Time Multivehicle Truckload Pickup and Delivery Problems

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Dimitris Bertsimas & Patrick Jaillet, & Sébastien Martin, 2019. "Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications," Operations Research, INFORMS, vol. 67(1), pages 143-162, January.
  2. Srour, F.J. & Agatz, N.A.H. & Oppen, J., 2014. "Strategies for Handling Temporal Uncertainty in Pickup and Delivery Problems with Time Windows," ERIM Report Series Research in Management ERS-2014-015-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  3. Cheung, Bernard K.-S. & Choy, K.L. & Li, Chung-Lun & Shi, Wenzhong & Tang, Jian, 2008. "Dynamic routing model and solution methods for fleet management with mobile technologies," International Journal of Production Economics, Elsevier, vol. 113(2), pages 694-705, June.
  4. Al Hajj Hassan, Lama & Hewitt, Mike & Mahmassani, Hani S., 2022. "Daily load planning under different autonomous truck deployment scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
  5. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
  6. Sahar Bsaybes & Alain Quilliot & Annegret K. Wagler, 2019. "Fleet management for autonomous vehicles using flows in time-expanded networks," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 288-311, July.
  7. Federico Librino & M. Elena Renda & Paolo Santi & Francesca Martelli & Giovanni Resta & Fabio Duarte & Carlo Ratti & Jinhua Zhao, 2020. "Home-work carpooling for social mixing," Transportation, Springer, vol. 47(5), pages 2671-2701, October.
  8. Berbeglia, Gerardo & Cordeau, Jean-François & Laporte, Gilbert, 2010. "Dynamic pickup and delivery problems," European Journal of Operational Research, Elsevier, vol. 202(1), pages 8-15, April.
  9. van Lon, Rinde R.S. & Ferrante, Eliseo & Turgut, Ali E. & Wenseleers, Tom & Vanden Berghe, Greet & Holvoet, Tom, 2016. "Measures of dynamism and urgency in logistics," European Journal of Operational Research, Elsevier, vol. 253(3), pages 614-624.
  10. Daqing Wu & Rong Yan & Hongtao Jin & Fengmao Cai, 2023. "An Adaptive Nutcracker Optimization Approach for Distribution of Fresh Agricultural Products with Dynamic Demands," Agriculture, MDPI, vol. 13(7), pages 1-21, July.
  11. Luca Bertazzi & Simona Cherubini, 2013. "An inventory-transportation system with stochastic demand," Computational Management Science, Springer, vol. 10(1), pages 1-20, February.
  12. Stephane Blouin & Martin Guay & Karen Rudie, 2007. "An application of discrete-event theory to truck dispatching," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 369-391, November.
  13. Srour, F.J. & Agatz, N.A.H. & Oppen, J., 2014. "The Value of Inaccurate Advance Time Window Information in a Pick-up and Delivery Problem," ERIM Report Series Research in Management ERS-2014-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  14. Baris Yildiz & Martin Savelsbergh, 2019. "Provably High-Quality Solutions for the Meal Delivery Routing Problem," Transportation Science, INFORMS, vol. 53(5), pages 1372-1388, September.
  15. Soeffker, Ninja & Ulmer, Marlin W. & Mattfeld, Dirk C., 2022. "Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review," European Journal of Operational Research, Elsevier, vol. 298(3), pages 801-820.
  16. Zolfagharinia, Hossein & Haughton, Michael, 2014. "The benefit of advance load information for truckload carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 34-54.
  17. Fatnassi, Ezzeddine & Chaouachi, Jouhaina & Klibi, Walid, 2015. "Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 440-460.
  18. Miguel Andres Figliozzi & Hani S. Mahmassani & Patrick Jaillet, 2007. "Pricing in Dynamic Vehicle Routing Problems," Transportation Science, INFORMS, vol. 41(3), pages 302-318, August.
  19. Devlin, Ger J. & McDonnell, Kevin & Ward, Shane, 2008. "Timber haulage routing in Ireland: an analysis using GIS and GPS," Journal of Transport Geography, Elsevier, vol. 16(1), pages 63-72.
  20. Zhang, Ruiyou & Lu, Jye-Chyi & Wang, Dingwei, 2014. "Container drayage problem with flexible orders and its near real-time solution strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 235-251.
  21. Florian Dandl & Michael Hyland & Klaus Bogenberger & Hani S. Mahmassani, 2019. "Evaluating the impact of spatio-temporal demand forecast aggregation on the operational performance of shared autonomous mobility fleets," Transportation, Springer, vol. 46(6), pages 1975-1996, December.
  22. Leonard Heilig & Eduardo Lalla-Ruiz & Stefan Voß, 2017. "port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 504-534, December.
  23. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
  24. Gitae Kim, 2023. "Dynamic Vehicle Routing Problem with Fuzzy Customer Response," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
  25. E Angelelli & N Bianchessi & R Mansini & M G Speranza, 2010. "Comparison of policies in dynamic routing problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 686-695, April.
  26. John D. Lees-Miller, 2016. "Minimising average passenger waiting time in personal rapid transit systems," Annals of Operations Research, Springer, vol. 236(2), pages 405-424, January.
  27. Alex Scott & Chris Parker & Christopher W. Craighead, 2017. "Service Refusals in Supply Chains: Drivers and Deterrents of Freight Rejection," Transportation Science, INFORMS, vol. 51(4), pages 1086-1101, November.
  28. Edgar Gutierrez-Franco & Christopher Mejia-Argueta & Luis Rabelo, 2021. "Data-Driven Methodology to Support Long-Lasting Logistics and Decision Making for Urban Last-Mile Operations," Sustainability, MDPI, vol. 13(11), pages 1-33, June.
  29. F. Jordan Srour & Niels Agatz & Johan Oppen, 2018. "Strategies for Handling Temporal Uncertainty in Pickup and Delivery Problems with Time Windows," Transportation Science, INFORMS, vol. 52(1), pages 3-19, January.
  30. Zhang, Zhenyu & Ji, Tingting & Wei, Hsi-Hsien, 2022. "Dynamic emergency inspection routing and restoration scheduling to enhance the post-earthquake resilience of a highway–bridge network," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
  31. Nikola Mardešić & Tomislav Erdelić & Tonči Carić & Marko Đurasević, 2023. "Review of Stochastic Dynamic Vehicle Routing in the Evolving Urban Logistics Environment," Mathematics, MDPI, vol. 12(1), pages 1-44, December.
  32. Li, Jing-Quan & Mirchandani, Pitu B. & Borenstein, Denis, 2009. "Real-time vehicle rerouting problems with time windows," European Journal of Operational Research, Elsevier, vol. 194(3), pages 711-727, May.
  33. Mes, Martijn & van der Heijden, Matthieu & van Harten, Aart, 2007. "Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems," European Journal of Operational Research, Elsevier, vol. 181(1), pages 59-75, August.
  34. Farzaneh Karami & Wim Vancroonenburg & Greet Vanden Berghe, 2020. "A periodic optimization approach to dynamic pickup and delivery problems with time windows," Journal of Scheduling, Springer, vol. 23(6), pages 711-731, December.
  35. Zolfagharinia, Hossein & Haughton, Michael A., 2017. "Operational flexibility in the truckload trucking industry," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 437-460.
  36. van de Klundert, Joris & Otten, Bernhard, 2011. "Improving LTL truck load utilization on line," European Journal of Operational Research, Elsevier, vol. 210(2), pages 336-343, April.
  37. Martijn Mes & Matthieu Heijden & Peter Schuur, 2013. "Interaction between intelligent agent strategies for real-time transportation planning," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(2), pages 337-358, March.
  38. Wenjing Guo & Bilge Atasoy & Wouter Beelaerts Blokland & Rudy R. Negenborn, 2022. "Anticipatory approach for dynamic and stochastic shipment matching in hinterland synchromodal transportation," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 483-517, June.
  39. Wei Zhou & Jane Lin, 2019. "An On-Demand Same-Day Delivery Service Using Direct Peer-to-Peer Transshipment Strategies," Networks and Spatial Economics, Springer, vol. 19(2), pages 409-443, June.
  40. Zolfagharinia, Hossein & Haughton, Michael, 2016. "Effective truckload dispatch decision methods with incomplete advance load information," European Journal of Operational Research, Elsevier, vol. 252(1), pages 103-121.
  41. Diego Cattaruzza & Nabil Absi & Dominique Feillet & Jesús González-Feliu, 2017. "Vehicle routing problems for city logistics," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 51-79, March.
  42. Bock, Stefan, 2010. "Real-time control of freight forwarder transportation networks by integrating multimodal transport chains," European Journal of Operational Research, Elsevier, vol. 200(3), pages 733-746, February.
  43. John Lees-Miller, 2016. "Minimising average passenger waiting time in personal rapid transit systems," Annals of Operations Research, Springer, vol. 236(2), pages 405-424, January.
  44. Zolfagharinia, Hossein & Haughton, Michael, 2018. "The importance of considering non-linear layover and delay costs for local truckers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 331-355.
  45. Regnier-Coudert, Olivier & McCall, John & Ayodele, Mayowa & Anderson, Steven, 2016. "Truck and trailer scheduling in a real world, dynamic and heterogeneous context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 389-408.
  46. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.