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Garbage Collection in Chicago: A Dynamic Scheduling Model

Author

Listed:
  • Donald D. Eisenstein

    (Graduate School of Business, The University of Chicago, Chicago, Illinois 60637)

  • Ananth. V. Iyer

    (Krannert Graduate School of Management, Purdue University, West Lafayette, Indiana 47907)

Abstract

We investigate the scheduling of garbage trucks in the city of Chicago. Analysis of data collected from the system shows that city blocks differ in the rate at which garbage is collected. However, in the current system, each truck visits the dumpsite two times each day. Our approach is to devise a flexible routing scheme in which some routes visit the dumpsite only once per day, while others visit the dumpsite twice per day depending on the blocks assigned to the route. We use a Markov decision process to model the impact on capacity of using flexible routes. This provides a dynamic scheduling algorithm that adjusts the number of dumpsite visits throughout the week to maximize service level. Results of the model suggest a potential reduction in truck capacity of 12--16% for a set of five pilot wards. This paper shows that flexible schedules can significantly reduce the capacity required to operate a system in the presence of variability.

Suggested Citation

  • Donald D. Eisenstein & Ananth. V. Iyer, 1997. "Garbage Collection in Chicago: A Dynamic Scheduling Model," Management Science, INFORMS, vol. 43(7), pages 922-933, July.
    • Handle: RePEc:inm:ormnsc:v:43:y:1997:i:7:p:922-933
    DOI: 10.1287/mnsc.43.7.922
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    Citations

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    Cited by:

    1. Belien, Jeroen & De Boeck, Liesje & Van Ackere, Jonas, 2011. "Municipal Solid Waste Collection Problems: A Literature Review," Working Papers 2011/34, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    2. Jeroen Beliën & Liesje De Boeck & Jonas Van Ackere, 2014. "Municipal Solid Waste Collection and Management Problems: A Literature Review," Transportation Science, INFORMS, vol. 48(1), pages 78-102, February.
    3. Ta, Chung H. & Ingolfsson, Armann & Doucette, John, 2013. "A linear model for surface mining haul truck allocation incorporating shovel idle probabilities," European Journal of Operational Research, Elsevier, vol. 231(3), pages 770-778.
    4. Baris Ata & Deishin Lee & Mustafa H. Tongarlak, 2012. "Optimizing Organic Waste to Energy Operations," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 231-244, April.
    5. Li, Jing-Quan & Borenstein, Denis & Mirchandani, Pitu B., 2008. "Truck scheduling for solid waste collection in the City of Porto Alegre, Brazil," Omega, Elsevier, vol. 36(6), pages 1133-1149, December.
    6. Wy, Juyoung & Kim, Byung-In & Kim, Seongbae, 2013. "The rollon–rolloff waste collection vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 224(3), pages 466-476.

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