IDEAS home Printed from https://ideas.repec.org/r/inm/ortrsc/v33y1999i1p3-16.html
   My bibliography  Save this item

Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem

Citations

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


Cited by:

  1. Fokkema, Jan Eise & Land, Martin J. & Coelho, Leandro C. & Wortmann, Hans & Huitema, George B., 2020. "A continuous-time supply-driven inventory-constrained routing problem," Omega, Elsevier, vol. 92(C).
  2. Hennig, F. & Nygreen, B. & Christiansen, M. & Fagerholt, K. & Furman, K.C. & Song, J. & Kocis, G.R. & Warrick, P.H., 2012. "Maritime crude oil transportation – A split pickup and split delivery problem," European Journal of Operational Research, Elsevier, vol. 218(3), pages 764-774.
  3. Chandra, Saurabh & Christiansen, Marielle & Fagerholt, Kjetil, 2016. "Combined fleet deployment and inventory management in roll-on/roll-off shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 43-55.
  4. Agra, Agostinho & Christiansen, Marielle & Delgado, Alexandrino & Simonetti, Luidi, 2014. "Hybrid heuristics for a short sea inventory routing problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 924-935.
  5. Wetzel, Daniel & Tierney, Kevin, 2020. "Integrating fleet deployment into liner shipping vessel repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
  6. de Mare, R. & Spliet, R. & Huisman, D., 2010. "A Branch-and-Price Approach for a Ship Routing Problem with Multiple Products and Inventory Constraints," Econometric Institute Research Papers EI 2010-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  7. Kevin C. Furman & Jin-Hwa Song & Gary R. Kocis & Michael K. McDonald & Philip H. Warrick, 2011. "Feedstock Routing in the ExxonMobil Downstream Sector," Interfaces, INFORMS, vol. 41(2), pages 149-163, April.
  8. Faramroze G. Engineer & George L. Nemhauser & Martin W. P. Savelsbergh & Jin-Hwa Song, 2012. "The Fixed-Charge Shortest-Path Problem," INFORMS Journal on Computing, INFORMS, vol. 24(4), pages 578-596, November.
  9. Alejandro Toriello & George Nemhauser & Martin Savelsbergh, 2010. "Decomposing inventory routing problems with approximate value functions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(8), pages 718-727, December.
  10. Nooshin Heidari & Ahmad Hemmati, 2023. "An ALNS-based matheuristic algorithm for a multi-product many-to-many maritime inventory routing problem," Computational Management Science, Springer, vol. 20(1), pages 1-23, December.
  11. Hennig, F. & Nygreen, B. & Furman, K.C. & Song, J., 2015. "Alternative approaches to the crude oil tanker routing and scheduling problem with split pickup and split delivery," European Journal of Operational Research, Elsevier, vol. 243(1), pages 41-51.
  12. Gustavo Diz & Luiz Felipe Scavarda & Roger Rocha & Silvio Hamacher, 2014. "Decision Support System for PETROBRAS Ship Scheduling," Interfaces, INFORMS, vol. 44(6), pages 555-566, December.
  13. H Gunnarsson & M Rönnqvist & D Carlsson, 2006. "A combined terminal location and ship routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(8), pages 928-938, August.
  14. Bilgen, Bilge & Ozkarahan, Irem, 2007. "A mixed-integer linear programming model for bulk grain blending and shipping," International Journal of Production Economics, Elsevier, vol. 107(2), pages 555-571, June.
  15. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
  16. Li, Ming & Wang, Zheng & Chan, Felix T.S., 2016. "A robust inventory routing policy under inventory inaccuracy and replenishment lead-time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 290-305.
  17. Agostinho Agra & Marielle Christiansen & Alexandrino Delgado, 2013. "Mixed Integer Formulations for a Short Sea Fuel Oil Distribution Problem," Transportation Science, INFORMS, vol. 47(1), pages 108-124, February.
  18. Persson, Jan A. & Gothe-Lundgren, Maud, 2005. "Shipment planning at oil refineries using column generation and valid inequalities," European Journal of Operational Research, Elsevier, vol. 163(3), pages 631-652, June.
  19. Christiansen, Marielle & Fagerholt, Kjetil & Flatberg, Truls & Haugen, Øyvind & Kloster, Oddvar & Lund, Erik H., 2011. "Maritime inventory routing with multiple products: A case study from the cement industry," European Journal of Operational Research, Elsevier, vol. 208(1), pages 86-94, January.
  20. Jørgen Glomvik Rakke & Henrik Andersson & Marielle Christiansen & Guy Desaulniers, 2015. "A New Formulation Based on Customer Delivery Patterns for a Maritime Inventory Routing Problem," Transportation Science, INFORMS, vol. 49(2), pages 384-401, May.
  21. Alarcon Ortega, Emilio J. & Schilde, Michael & Doerner, Karl F., 2020. "Matheuristic search techniques for the consistent inventory routing problem with time windows and split deliveries," Operations Research Perspectives, Elsevier, vol. 7(C).
  22. Mutlu, Fatih & Msakni, Mohamed K. & Yildiz, Hakan & Sönmez, Erkut & Pokharel, Shaligram, 2016. "A comprehensive annual delivery program for upstream liquefied natural gas supply chain," European Journal of Operational Research, Elsevier, vol. 250(1), pages 120-130.
  23. Kevin Tierney & Björg Áskelsdóttir & Rune Møller Jensen & David Pisinger, 2015. "Solving the Liner Shipping Fleet Repositioning Problem with Cargo Flows," Transportation Science, INFORMS, vol. 49(3), pages 652-674, August.
  24. Hemmati, Ahmad & Hvattum, Lars Magnus & Christiansen, Marielle & Laporte, Gilbert, 2016. "An iterative two-phase hybrid matheuristic for a multi-product short sea inventory-routing problem," European Journal of Operational Research, Elsevier, vol. 252(3), pages 775-788.
  25. Agra, Agostinho & Christiansen, Marielle & Wolsey, Laurence, 2022. "Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 297(1), pages 164-179.
  26. Jørgen Bjaarstad Nikolaisen & Sofie Smith Vågen & Peter Schütz, 2023. "Solving a maritime inventory routing problem under uncertainty using optimization and simulation," Computational Management Science, Springer, vol. 20(1), pages 1-27, December.
  27. Chen, Qingfeng & Li, Kunpeng & Liu, Zhixue, 2014. "Model and algorithm for an unpaired pickup and delivery vehicle routing problem with split loads," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 218-235.
  28. Shin Woong Sung & Young Jae Jang & Jung Hoon Kim & Juyeong Lee, 2017. "Business Analytics for Streamlined Assort Packing and Distribution of Fashion Goods at Kolon Sport," Interfaces, INFORMS, vol. 47(6), pages 555-573, December.
  29. Bredström, David & Rönnqvist, Mikael, 2006. "Supply Chain Optimization in Pulp Distribution using a Rolling Horizon Solution Approach," Discussion Papers 2006/17, Norwegian School of Economics, Department of Business and Management Science.
  30. Kristin Uggen & Marte Fodstad & Vibeke Nørstebø, 2013. "Using and extending fix-and-relax to solve maritime inventory routing problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 355-377, July.
  31. Nikolaos P. Rachaniotis & Marisa Masvoula, 2020. "A decision tool for scheduling fleets of fuel supply vessels," Operational Research, Springer, vol. 20(3), pages 1543-1557, September.
  32. Hassan S. Hayajneh & Xuewei Zhang, 2020. "Logistics Design for Mobile Battery Energy Storage Systems," Energies, MDPI, vol. 13(5), pages 1-14, March.
  33. Hadi Jahangir & Mohammad Mohammadi & Seyed Hamid Reza Pasandideh & Neda Zendehdel Nobari, 2019. "Comparing performance of genetic and discrete invasive weed optimization algorithms for solving the inventory routing problem with an incremental delivery," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2327-2353, August.
  34. Gustavo Souto dos Santos Diz & Silvio Hamacher & Fabricio Oliveira, 2019. "A robust optimization model for the maritime inventory routing problem," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 675-701, September.
  35. Xu, Dongyang & Li, Kunpeng & Zou, Xuxia & Liu, Ling, 2017. "An unpaired pickup and delivery vehicle routing problem with multi-visit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 218-247.
  36. Dong, Bo & Christiansen, Marielle & Fagerholt, Kjetil & Bektaş, Tolga, 2020. "Combined maritime fleet deployment and inventory management with port visit flexibility in roll-on roll-off shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
  37. Anton J. Kleywegt & Vijay S. Nori & Martin W. P. Savelsbergh, 2004. "Dynamic Programming Approximations for a Stochastic Inventory Routing Problem," Transportation Science, INFORMS, vol. 38(1), pages 42-70, February.
  38. S. Michel & F. Vanderbeck, 2012. "A Column-Generation Based Tactical Planning Method for Inventory Routing," Operations Research, INFORMS, vol. 60(2), pages 382-397, April.
  39. Anton J. Kleywegt & Vijay S. Nori & Martin W. P. Savelsbergh, 2002. "The Stochastic Inventory Routing Problem with Direct Deliveries," Transportation Science, INFORMS, vol. 36(1), pages 94-118, February.
  40. Papageorgiou, Dimitri J. & Nemhauser, George L. & Sokol, Joel & Cheon, Myun-Seok & Keha, Ahmet B., 2014. "MIRPLib – A library of maritime inventory routing problem instances: Survey, core model, and benchmark results," European Journal of Operational Research, Elsevier, vol. 235(2), pages 350-366.
  41. Agostinho Agra & Marielle Christiansen & Kristine S. Ivarsøy & Ida Elise Solhaug & Asgeir Tomasgard, 2017. "Combined ship routing and inventory management in the salmon farming industry," Annals of Operations Research, Springer, vol. 253(2), pages 799-823, June.
  42. Stålhane, Magnus & Andersson, Henrik & Christiansen, Marielle & Fagerholt, Kjetil, 2014. "Vendor managed inventory in tramp shipping," Omega, Elsevier, vol. 47(C), pages 60-72.
  43. Roar Grønhaug & Marielle Christiansen & Guy Desaulniers & Jacques Desrosiers, 2010. "A Branch-and-Price Method for a Liquefied Natural Gas Inventory Routing Problem," Transportation Science, INFORMS, vol. 44(3), pages 400-415, August.
  44. Mingyu Li & Peter Schütz, 2020. "Planning Annual LNG Deliveries with Transshipment," Energies, MDPI, vol. 13(6), pages 1-24, March.
  45. Faramroze G. Engineer & Kevin C. Furman & George L. Nemhauser & Martin W. P. Savelsbergh & Jin-Hwa Song, 2012. "A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing," Operations Research, INFORMS, vol. 60(1), pages 106-122, February.
  46. Archetti, Claudia & Christiansen, Marielle & Grazia Speranza, M., 2018. "Inventory routing with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 268(1), pages 314-324.
  47. Edirisinghe, N.C.P. & James, R.J.W., 2014. "Fleet routing position-based model for inventory pickup under production shutdown," European Journal of Operational Research, Elsevier, vol. 236(2), pages 736-747.
  48. Mahmoudi, Monirehalsadat & Zhou, Xuesong, 2016. "Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state–space–time network representations," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 19-42.
  49. Leandro C. Coelho & Jean-François Cordeau & Gilbert Laporte, 2014. "Thirty Years of Inventory Routing," Transportation Science, INFORMS, vol. 48(1), pages 1-19, February.
  50. Marielle Christiansen & Kjetil Fagerholt, 2002. "Robust ship scheduling with multiple time windows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(6), pages 611-625, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.