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Planning for meals-on-wheels: algorithms and application

Author

Listed:
  • H Yildiz

    (Michigan State University, East Lansing, MI, USA)

  • M P Johnson

    (University of Massachusetts Boston, Boston, MA, USA)

  • S Roehrig

    (Carnegie Mellon University, Pittsburgh, PA, USA)

Abstract

Home-delivered meals provision, also known as meals-on-wheels, is a volunteer-staffed activity for which little strategic planning is performed. We develop a Memetic Algorithm to solve the Home Delivered Meals Location-Routing Problem. This planning model addresses facility location, allocation of demand to facilities, and design of delivery routes, while balancing efficiency and effectiveness considerations. The case study presented on a large data set shows how trade-off curves, which are very useful for decision making, can be obtained by the method developed.

Suggested Citation

  • H Yildiz & M P Johnson & S Roehrig, 2013. "Planning for meals-on-wheels: algorithms and application," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(10), pages 1540-1550, October.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:10:p:1540-1550
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    Citations

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    Cited by:

    1. Zajac, Sandra & Huber, Sandra, 2021. "Objectives and methods in multi-objective routing problems: a survey and classification scheme," European Journal of Operational Research, Elsevier, vol. 290(1), pages 1-25.
    2. Yanwei Zhao & Longlong Leng & Chunmiao Zhang, 2021. "A novel framework of hyper-heuristic approach and its application in location-routing problem with simultaneous pickup and delivery," Operational Research, Springer, vol. 21(2), pages 1299-1332, June.
    3. Divya J. Nair & David Rey & Vinayak V. Dixit, 2017. "Fair allocation and cost-effective routing models for food rescue and redistribution," IISE Transactions, Taylor & Francis Journals, vol. 49(12), pages 1172-1188, December.
    4. Pei-Ju Wu & Yu-Shan Lin, 2023. "Reducing waste and achieving sustainable food security through optimizing surplus-food collection and meal distribution," Annals of Operations Research, Springer, vol. 328(2), pages 1537-1555, September.
    5. Lee, Deishin & Sönmez, Erkut & Gómez, Miguel I. & Fan, Xiaoli, 2017. "Combining two wrongs to make two rights: Mitigating food insecurity and food waste through gleaning operations," Food Policy, Elsevier, vol. 68(C), pages 40-52.
    6. Mahmoudi, Monirehalsadat & Shirzad, Khadijeh & Verter, Vedat, 2022. "Decision support models for managing food aid supply chains: A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    7. Lin, Meiyan & Lin, Shaodan & Ma, Lijun & Zhang, Lianmin, 2022. "The value of the Physical Internet on the meals-on-wheels delivery system," International Journal of Production Economics, Elsevier, vol. 248(C).
    8. Barιş Ata & Deishin Lee & Erkut Sönmez, 2019. "Dynamic Volunteer Staffing in Multicrop Gleaning Operations," Operations Research, INFORMS, vol. 67(2), pages 295-314, March.
    9. Nikzamir, Mohammad & Baradaran, Vahid, 2020. "A healthcare logistic network considering stochastic emission of contamination: Bi-objective model and solution algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    10. Nair, D.J. & Grzybowska, H. & Fu, Y. & Dixit, V.V., 2018. "Scheduling and routing models for food rescue and delivery operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 18-32.

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