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Optimizing Periodic Maintenance Operations for Schindler Elevator Corporation

Author

Listed:
  • Fred Blakeley

    (Schindler Elevator Corporation, Inc., 20 Whippany Road, P.O. Box 1935, Morristown, New Jersey 07962-1935)

  • Burçin Argüello

    (Transportation/Logistics Services, ESRI, 380 New York Street, Redlands, California 92373)

  • Buyang Cao

    (Transportation/Logistics Services, ESRI, 380 New York Street, Redlands, California 92373)

  • Wolfgang Hall

    (Transportation/Logistics Services, ESRI, 380 New York Street, Redlands, California 92373)

  • Joseph Knolmajer

    (Schindler Elevator Corporation, Inc., 20 Whippany Road, P.O. Box 1935, Morristown, New Jersey 07962-1935)

Abstract

Schindler, the world's largest escalator company and second-largest elevator company, maintains tens of thousands of elevators and escalators throughout North America. Thousands of technicians are on the road each day to maintain, repair, and help in emergencies. Each technician's route requires precise and optimized planning. Schindler Elevator Corporation turned to Environmental Systems Research Institute (ESRI) to develop an automated route-scheduling and planning system. ESRI provided a geographic-information-system-integrated application that employs operations research techniques to optimize preventive maintenance operations. It relies on a series of algorithms to assign maintenance work to technicians and to create efficient day-routes by solving the periodic-vehicle-routing problem. These automated tools allow Schindler to restructure and streamline service areas. The optimization system saves over $1 million annually and increases Schindler's managers' awareness of operating revenue.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orinte:v:33:y:2003:i:1:p:67-79
    DOI: 10.1287/inte.33.1.67.12722
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    References listed on IDEAS

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    Cited by:

    1. Thibaut Vidal & Teodor Gabriel Crainic & Michel Gendreau & Nadia Lahrichi & Walter Rei, 2012. "A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems," Operations Research, INFORMS, vol. 60(3), pages 611-624, June.
    2. Alegre, Jesus & Laguna, Manuel & Pacheco, Joaquin, 2007. "Optimizing the periodic pick-up of raw materials for a manufacturer of auto parts," European Journal of Operational Research, Elsevier, vol. 179(3), pages 736-746, June.
    3. Hemmelmayr, Vera C. & Doerner, Karl F. & Hartl, Richard F., 2009. "A variable neighborhood search heuristic for periodic routing problems," European Journal of Operational Research, Elsevier, vol. 195(3), pages 791-802, June.
    4. Syan, Chanan S. & Ramsoobag, Geeta, 2019. "Maintenance applications of multi-criteria optimization: A review," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    5. Karsu, Özlem & Morton, Alec, 2015. "Inequity averse optimization in operational research," European Journal of Operational Research, Elsevier, vol. 245(2), pages 343-359.
    6. Rodríguez-Martín, Inmaculada & Salazar-González, Juan-José & Yaman, Hande, 2019. "The periodic vehicle routing problem with driver consistency," European Journal of Operational Research, Elsevier, vol. 273(2), pages 575-584.
    7. Vidal, Thibaut & Laporte, Gilbert & Matl, Piotr, 2020. "A concise guide to existing and emerging vehicle routing problem variants," European Journal of Operational Research, Elsevier, vol. 286(2), pages 401-416.
    8. Francis, Peter & Smilowitz, Karen, 2006. "Modeling techniques for periodic vehicle routing problems," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 872-884, December.
    9. Cavada, Juan P. & Cortés, Cristián E. & Goic, Marcel & Weintraub, Andrés & Zambrano, Juan I., 2020. "Accounting for cost heterogeneity on the demand in the context of a technician dispatching problem," European Journal of Operational Research, Elsevier, vol. 287(3), pages 820-831.
    10. 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.
    11. Voravee Punyakum & Kanchana Sethanan & Krisanarach Nitisiri & Rapeepan Pitakaso, 2022. "Hybrid Particle Swarm and Whale Optimization Algorithm for Multi-Visit and Multi-Period Dynamic Workforce Scheduling and Routing Problems," Mathematics, MDPI, vol. 10(19), pages 1-20, October.
    12. Wooseung Jang & Huay H. Lim & Thomas J. Crowe & Gail Raskin & Thomas E. Perkins, 2006. "The Missouri Lottery Optimizes Its Scheduling and Routing to Improve Efficiency and Balance," Interfaces, INFORMS, vol. 36(4), pages 302-313, August.
    13. Chen, Yujie & Cowling, Peter & Polack, Fiona & Remde, Stephen & Mourdjis, Philip, 2017. "Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system," European Journal of Operational Research, Elsevier, vol. 257(2), pages 494-510.
    14. S Coene & A Arnout & F C R Spieksma, 2010. "On a periodic vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(12), pages 1719-1728, December.
    15. Ines Mathlouthi & Michel Gendreau & Jean-Yves Potvin, 2021. "Branch-and-Price for a Multi-attribute Technician Routing and Scheduling Problem," SN Operations Research Forum, Springer, vol. 2(1), pages 1-35, March.
    16. Roberto Baldacci & Enrico Bartolini & Aristide Mingozzi & Andrea Valletta, 2011. "An Exact Algorithm for the Period Routing Problem," Operations Research, INFORMS, vol. 59(1), pages 228-241, February.
    17. John E. Fontecha & Oscar O. Guaje & Daniel Duque & Raha Akhavan-Tabatabaei & Juan P. Rodríguez & Andrés L. Medaglia, 2020. "Combined maintenance and routing optimization for large-scale sewage cleaning," Annals of Operations Research, Springer, vol. 286(1), pages 441-474, March.
    18. Peter Francis & Karen Smilowitz & Michal Tzur, 2007. "Flexibility and complexity in periodic distribution problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(2), pages 136-150, March.
    19. 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.
    20. López-Santana, Eduyn & Akhavan-Tabatabaei, Raha & Dieulle, Laurence & Labadie, Nacima & Medaglia, Andrés L., 2016. "On the combined maintenance and routing optimization problem," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 199-214.
    21. Rodríguez-Martín, Inmaculada & Yaman, Hande, 2022. "Periodic Vehicle Routing Problem with Driver Consistency and service time optimization," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 468-484.
    22. P. Matl & R. F. Hartl & T. Vidal, 2018. "Workload Equity in Vehicle Routing Problems: A Survey and Analysis," Transportation Science, INFORMS, vol. 52(2), pages 239-260, March.
    23. Lei, Chao & Zhang, Qian & Ouyang, Yanfeng, 2017. "Planning of parking enforcement patrol considering drivers’ parking payment behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 375-392.
    24. 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.
    25. Bender, Matthias & Meyer, Anne & Kalcsics, Jörg & Nickel, Stefan, 2016. "The multi-period service territory design problem – An introduction, a model and a heuristic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 135-157.

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