An Iterative Exact Algorithm over a Time-Expanded Network for the Transportation of Biomedical Samples

Published Online:https://doi.org/10.1287/ijoc.2023.0061

References

  • Alvarez A, Cordeau JF, Jans R, Munari P, Morabito R (2020) Formulations, branch-and-cut and a hybrid heuristic algorithm for an inventory routing problem with perishable products. Eur. J. Oper. Res. 283(2):511–529.CrossrefGoogle Scholar
  • Amorim P, Almada-Lobo B (2014) The impact of food perishability issues in the vehicle routing problem. Comput. Indust. Engrg. 67(1):223–233.CrossrefGoogle Scholar
  • Amorim P, Meyr H, Almeder C, Almada-Lobo B (2013) Managing perishability in production-distribution planning: A discussion and review. Flexible Services Manufacturing J. 25(3):389–413.CrossrefGoogle Scholar
  • Amorim P, Parragh SN, Sperandio F, Almada-Lobo B (2014) A rich vehicle routing problem dealing with perishable food: A case study. TOP 22(2):489–508.CrossrefGoogle Scholar
  • Anaya-Arenas AM, Chabot T, Renaud J, Ruiz A (2016) Biomedical sample transportation in the province of Quebec: A case study. Internat. J. Production Res. 54(2):602–615.CrossrefGoogle Scholar
  • Anaya-Arenas AM, Prodhon C, Renaud J, Ruiz A (2021) An iterated local search for the biomedical sample transportation problem with multiple and interdependent pickups. J. Oper. Res. Soc. 72(2):367–382.CrossrefGoogle Scholar
  • Baş S, Carello G, Lanzarone E, Ocak Z, Yalçındağ S (2016) Management of blood donation system: Literature review and research perspectives. Matta A, Sahin E, Li J, Guinet A, Vandaele N, eds. Health Care Systems Engineering for Scientists and Practitioners. Springer Proceedings in Mathematics and Statistics, vol. 169 (Springer, Cham, Switzerland), 121–132.CrossrefGoogle Scholar
  • Benini M, Detti P, de Lara GZM (2022) Mathematical programming formulations and metaheuristics for biological sample transportation problems in healthcare. Comput. Oper. Res. 146:105921.CrossrefGoogle Scholar
  • Berbeglia G, Cordeau J-F, Laporte G (2010) Dynamic pickup and delivery problems. Eur. J. Oper. Res. 202(1):8–15.CrossrefGoogle Scholar
  • Berbeglia G, Cordeau J-F, Gribkovskaia I, Laporte G (2007) Static pickup and delivery problems: A classification scheme and survey. TOP 15(1):1–31.CrossrefGoogle Scholar
  • Boland N, Savelsbergh M (2019) Perspectives on integer programming for time-dependent models. TOP 27(2):147–173.CrossrefGoogle Scholar
  • Boland N, Hewitt M, Marshall L, Savelsbergh M (2017) The continuous-time service network design problem. Oper. Res. 65(5):1303–1321.LinkGoogle Scholar
  • Boland N, Hewitt M, Marshall L, Savelsbergh M (2019) The price of discretizing time: A study in service network design. EURO J. Transportation Logist. 8(2):195–216.CrossrefGoogle Scholar
  • Clarke G, Wright JW (1964) Scheduling of vehicles from a central depot to a number of delivery points. Oper. Res. 12(4):568–581.LinkGoogle Scholar
  • Coelho LC, Laporte G (2014) Optimal joint replenishment, delivery and inventory management policies for perishable products. Comput. Oper. Res. 47:42–52.CrossrefGoogle Scholar
  • Crama Y, Rezaei M, Savelsbergh M, Van Woensel T (2018) Stochastic inventory routing for perishable products. Transportation Sci. 52(3):526–546.LinkGoogle Scholar
  • Diabat A, Abdallah T, Le T (2016) A hybrid tabu search based heuristic for the periodic distribution inventory problem with perishable goods. Ann. Oper. Res. 242:373–398.CrossrefGoogle Scholar
  • Doerner KF, Hartl RF (2008) Healthcare logistics, emergency preparedness, and disaster relief: New challenges for routing problems with a focus on the Austrian situation. Golden B, Raghavan S, Wasil E, eds. The Vehicle Routing Problem: Latest Advances and New Challenges. Operations Research/Computer Science Interfaces Series, vol. 43 (Springer, Boston), 527–550.CrossrefGoogle Scholar
  • Doerner KF, Gronalt M, Hartl RF, Kiechle G, Reimann M (2008) Exact and heuristic algorithms for the vehicle routing problem with multiple interdependent time windows. Comput. Oper. Res. 35(9):3034–3048.CrossrefGoogle Scholar
  • Dohn A, Rasmussen MS, Larsen J (2011) The vehicle routing problem with time windows and temporal dependencies. Networks 58(4):273–289.CrossrefGoogle Scholar
  • Drexl M (2012) Synchronization in vehicle routing—A survey of VRPs with multiple synchronization constraints. Transportation Sci. 46(3):297–316.LinkGoogle Scholar
  • Elalouf A, Tsadikovich D, Hovav S (2018) Optimization of blood sample collection with timing and quality constraints. Internat. Trans. Oper. Res. 25(1):191–214.CrossrefGoogle Scholar
  • Feo TA, Resende MG (1989) A probabilistic heuristic for a computationally difficult set covering problem. Oper. Res. Lett. 8(2):67–71.CrossrefGoogle Scholar
  • Fikar C, Hirsch P (2015) A matheuristic for routing real-world home service transport systems facilitating walking. J. Cleaner Production 105:300–310.CrossrefGoogle Scholar
  • Fikar C, Hirsch P (2017) Home healthcare routing and scheduling: A review. Comput. Oper. Res. 77:86–95.CrossrefGoogle Scholar
  • Grieco L, Utley M, Crowe S (2021) Operational research applied to decisions in home healthcare: A systematic literature review. J. Oper. Res. Soc. 72(9):1960–1991.CrossrefGoogle Scholar
  • Hemmelmayr V, Doerner KF, Hartl RF, Savelsbergh MW (2009) Delivery strategies for blood products supplies. OR Spectrum 31(4):707–725.CrossrefGoogle Scholar
  • Hewitt M (2019) Enhanced dynamic discretization discovery for the continuous time load plan design problem. Transportation Sci. 53(6):1731–1750.LinkGoogle Scholar
  • Hewitt M (2022) The flexible scheduled service network design problem. Transportation Sci. 56(4):1000–1021.LinkGoogle Scholar
  • Hojabri H, Gendreau M, Potvin JY, Rousseau LM (2018) Large neighborhood search with constraint programming for a vehicle routing problem with synchronization constraints. Comput. Oper. Res. 92:87–97.CrossrefGoogle Scholar
  • Hsu C-I, Hung S-F, Li H-C (2007) Vehicle routing problem with time-windows for perishable food delivery. J. Food Engrg. 80(2):465–475.CrossrefGoogle Scholar
  • Janssen L, Claus T, Sauer J (2016) Literature review of deteriorating inventory models by key topics from 2012 to 2015. Internat. J. Production Econom. 182:86–112.CrossrefGoogle Scholar
  • Kergosien Y, Ruiz A, Soriano P (2014) A routing problem for medical test sample collection in home healthcare services. Matta A, Li J, Sahin E, Lanzarone E, Fowler J, eds. Proc. Internat. Conf. Health Care Systems Engrg., Springer Proceedings in Mathematics and Statistics, vol. 61 (Springer, Berlin), 29–46.Google Scholar
  • Lagos F, Boland N, Savelsbergh M (2020) The continuous time inventory routing problem. Transportation Sci. 54(2):375–399.LinkGoogle Scholar
  • Lagos F, Boland N, Savelsbergh M (2022) Dynamic discretization discovery for solving the continuous time inventory routing problem with out-and-back routes. Comput. Oper. Res. 141:105686.CrossrefGoogle Scholar
  • Le T, Diabat A, Richard JP, Yih Y (2013) A column generation-based heuristic algorithm for an inventory routing problem with perishable goods. Optim. Lett. 7(7):1481–1502.CrossrefGoogle Scholar
  • Liang Y, Liu F, Lim A, Zhang D (2020) An integrated route, temperature and humidity planning problem for the distribution of perishable products. Comput. Indust. Engrg. 147:106623.CrossrefGoogle Scholar
  • Liu R, Xie X, Augusto V, Rodriguez C (2013) Heuristic algorithms for a vehicle routing problem with simultaneous delivery and pickup and time windows in home healthcare. Eur. J. Oper. Res. 230(3):475–486.CrossrefGoogle Scholar
  • Mankowska DS, Meisel F, Bierwirth C (2014) The home healthcare routing and scheduling problem with interdependent services. Healthcare Management Sci. 17(1):15–30.CrossrefGoogle Scholar
  • Marshall L, Boland N, Savelsbergh M, Hewitt M (2021) Interval-based dynamic discretization discovery for solving the continuous-time service network design problem. Transportation Sci. 55(1):29–51.LinkGoogle Scholar
  • Mazzanti C, Anaya-Arenas AM, Bélanger V, Lanzarone E, Ruiz A (2024) Iterative matheuristic for the biomedical sample transportation problem. Comput. Indust. Engrg. 192:110196.CrossrefGoogle Scholar
  • Medina J, Hewitt M, Lehuédé F, Péton O (2019) Integrating long-haul and local transportation planning: The Service Network Design and Routing Problem. EURO J. Transportation Logist. 8(2):119–145.CrossrefGoogle Scholar
  • Ministère de la Santé et des Services sociaux du Québec (2012) Démarche d’optimisation des services offerts par les laboratoires de biologie médicale du Québec. https://www.msss.gouv.qc.ca/professionnels/soins-et-services/optilab/presentation-de-la-demarche-optilab/.Google Scholar
  • Mor A, Speranza MG (2022) Vehicle routing problems over time: A survey. Ann. Oper. Res. 314(1):255–275.CrossrefGoogle Scholar
  • Naji-Azimi Z, Salari M, Renaud J, Ruiz A (2016) A practical vehicle routing problem with desynchronized arrivals to depot. Eur. J. Oper. Res. 255(1):58–67.CrossrefGoogle Scholar
  • Ocampo-Giraldo DM, Anaya-Arenas AM, Contardo C (2024) An iterative exact algorithm over a time-expanded network for the transportation of biomedical samples. http://dx.doi.org/10.1287/ijoc.2023.0061.cd, https://github.com/INFORMSJoC/2023.0061.Google Scholar
  • Osorio AF, Brailsford SC, Smith HK (2015) A structured review of quantitative models in the blood supply chain: A taxonomic framework for decision-making. Internat. J. Production Res. 53(24):7191–7212.CrossrefGoogle Scholar
  • Osvald A, Stirn LZ (2008) A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food. J. Food Engrg. 85(2):285–295.CrossrefGoogle Scholar
  • Parragh SN, Doerner KF, Hartl RF (2008) A survey on pickup and delivery problems. J. Betriebswirtschaft 58(2):81–117.CrossrefGoogle Scholar
  • Pirabán A, Guerrero W, Labadie N (2019) Survey on blood supply chain management: Models and methods. Comput. Oper. Res. 112:104756.CrossrefGoogle Scholar
  • Pirabán-Ramírez A, Guerrero-Rueda WJ, Labadie N (2022) The multi-trip vehicle routing problem with increasing profits for the blood transportation: An iterated local search metaheuristic. Comput. Indust. Engrg. 170:108294.CrossrefGoogle Scholar
  • Rabbani M, Ramezankhani MJ, Farrokhi-Asl H, Farshbaf-Geranmayeh A (2015) Vehicle routing with time windows and customer selection for perishable goods. Internat. J. Supply Oper. Management 2(2):700–719.Google Scholar
  • Şahinyazan FG, Kara BY, Taner MR (2015) Selective vehicle routing for a mobile blood donation system. Eur. J. Oper. Res. 245(1):22–34.CrossrefGoogle Scholar
  • Scherr YO, Hewitt M, Neumann Saavedra BA, Mattfeld DC (2020) Dynamic discretization discovery for the service network design problem with mixed autonomous fleets. Transportation Res. Part B Methodological 141:164–195.CrossrefGoogle Scholar
  • Soares R, Marques A, Amorim P, Parragh SN (2023) Synchronisation in vehicle routing: Classification schema, modelling framework and literature review. Eur. J. Oper. Res. 313(3):817–840.CrossrefGoogle Scholar
  • Song BD, Ko YD (2016) A vehicle routing problem of both refrigerated- and general-type vehicles for perishable food products delivery. J. Food Engrg. 169:61–71.CrossrefGoogle Scholar
  • Tilk C, Drexl M, Irnich S (2019) Nested branch-and-price-and-cut for vehicle routing problems with multiple resource interdependencies. Eur. J. Oper. Res. 276(2):549–565.CrossrefGoogle Scholar
  • Vu DM, Hewitt M, Boland N, Savelsbergh M (2020) Dynamic discretization discovery for solving the time-dependent traveling salesman problem with time windows. Transportation Sci. 54(3):703–720.LinkGoogle Scholar
  • Yücel E, Salman FS, Gel ES, Örmeci EL, Gel A (2013) Optimizing specimen collection for processing in clinical testing laboratories. Eur. J. Oper. Res. 227(3):503–514.CrossrefGoogle Scholar
  • Zahiri B, Torabi S, Mousazadeh M, Mansouri S (2015) Blood collection management: Methodology and application. Appl. Math. Model. 39(23–24):7680–7696.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.