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Optimization of the technician routing and scheduling problem for a telecommunication industry

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  • Ehsan Pourjavad

    (University of Regina)

  • Eman Almehdawe

    (University of Regina)

Abstract

This paper proposes two models for the Technician Routing and Scheduling Problem (TRSP), which are motivated by a telecom provider based in Saskatchewan, Canada. The proposed TRSP models are distinguished from existing models by their ability to address two key issues: overnight and lunch break scheduling. The models aim to scheduling a set of technicians with homogeneous skill levels and different working hours for the purpose of providing services with different service times and time windows to a diverse set of widely spread communities. As the large-sized experiments of this problem categorized into NP-hard problems, a metaheuristic-based technique, Invasive Weed Optimization, is developed to solve them. A comparative analysis is performed to choose the optimum TRSP model based on two factors which are distance of communities to the main depot and balanced service times during planning horizon. The performance of the models is evaluated through the real-world data obtained from the telecom provider. The results prove that the overnight TRSP model is capable of substantially decreasing travel costs and the number of technicians that are required to perform the same set of services.

Suggested Citation

  • Ehsan Pourjavad & Eman Almehdawe, 2022. "Optimization of the technician routing and scheduling problem for a telecommunication industry," Annals of Operations Research, Springer, vol. 315(1), pages 371-395, August.
    • Handle: RePEc:spr:annopr:v:315:y:2022:i:1:d:10.1007_s10479-022-04658-8
    DOI: 10.1007/s10479-022-04658-8
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    1. Rasmussen, Matias Sevel & Justesen, Tor & Dohn, Anders & Larsen, Jesper, 2012. "The Home Care Crew Scheduling Problem: Preference-based visit clustering and temporal dependencies," European Journal of Operational Research, Elsevier, vol. 219(3), pages 598-610.
    2. Cortés, Cristián E. & Gendreau, Michel & Rousseau, Louis Martin & Souyris, Sebastián & Weintraub, Andrés, 2014. "Branch-and-price and constraint programming for solving a real-life technician dispatching problem," European Journal of Operational Research, Elsevier, vol. 238(1), pages 300-312.
    3. Mustafa Misir & Pieter Smet & Greet Vanden Berghe, 2015. "An analysis of generalised heuristics for vehicle routing and personnel rostering problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(5), pages 858-870, May.
    4. Hideki Hashimoto & Sylvain Boussier & Michel Vasquez & Christophe Wilbaut, 2011. "A GRASP-based approach for technicians and interventions scheduling for telecommunications," Annals of Operations Research, Springer, vol. 183(1), pages 143-161, March.
    5. Eveborn, Patrik & Flisberg, Patrik & Ronnqvist, Mikael, 2006. "Laps Care--an operational system for staff planning of home care," European Journal of Operational Research, Elsevier, vol. 171(3), pages 962-976, June.
    6. Goel, Asvin & Meisel, Frank, 2013. "Workforce routing and scheduling for electricity network maintenance with downtime minimization," European Journal of Operational Research, Elsevier, vol. 231(1), pages 210-228.
    7. Fred Blakeley & Burçin Argüello & Buyang Cao & Wolfgang Hall & Joseph Knolmajer, 2003. "Optimizing Periodic Maintenance Operations for Schindler Elevator Corporation," Interfaces, INFORMS, vol. 33(1), pages 67-79, February.
    8. J. Arturo Castillo-Salazar & Dario Landa-Silva & Rong Qu, 2016. "Workforce scheduling and routing problems: literature survey and computational study," Annals of Operations Research, Springer, vol. 239(1), pages 39-67, April.
    9. Tang, Hao & Miller-Hooks, Elise & Tomastik, Robert, 2007. "Scheduling technicians for planned maintenance of geographically distributed equipment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(5), pages 591-609, September.
    10. A Lim & B Rodrigues & L Song, 2004. "Manpower allocation with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(11), pages 1178-1186, November.
    11. Paraskevopoulos, Dimitris C. & Laporte, Gilbert & Repoussis, Panagiotis P. & Tarantilis, Christos D., 2017. "Resource constrained routing and scheduling: Review and research prospects," European Journal of Operational Research, Elsevier, vol. 263(3), pages 737-754.
    12. Zamorano, Emilio & Stolletz, Raik, 2017. "Branch-and-price approaches for the Multiperiod Technician Routing and Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 257(1), pages 55-68.
    13. Chen, Xi & Thomas, Barrett W. & Hewitt, Mike, 2016. "The technician routing problem with experience-based service times," Omega, Elsevier, vol. 61(C), pages 49-61.
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    Cited by:

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    2. Nielsen, Clara Chini & Pisinger, David, 2023. "Tactical planning for dynamic technician routing and scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).

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