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Manpower allocation with time windows

Author

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  • A Lim

    (Hong Kong University of Science and Technology, Clearwater Bay)

  • B Rodrigues

    (Singapore Management University)

  • L Song

    (National University of Singapore)

Abstract

In this paper, we propose a manpower allocation model with time windows which is of practical interest. This model originates from a real-life port manpower allocation problem where demand is generated from locations in the yard for servicemen who are dispatched from a central point and where the objectives are to minimize the number of servicemen used, travel distances, travel times and waiting times. We develop a tabu-embedded simulated annealing algorithm and a squeaky wheel optimization with local search algorithm for the problem. Experimental results are reported which show the effectiveness of our approaches.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:11:d:10.1057_palgrave.jors.2601782
    DOI: 10.1057/palgrave.jors.2601782
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    References listed on IDEAS

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    1. Cai, X. & Li, K. N., 2000. "A genetic algorithm for scheduling staff of mixed skills under multi-criteria," European Journal of Operational Research, Elsevier, vol. 125(2), pages 359-369, September.
    2. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    3. Christophe Duhamel & Jean-Yves Potvin & Jean-Marc Rousseau, 1997. "A Tabu Search Heuristic for the Vehicle Routing Problem with Backhauls and Time Windows," Transportation Science, INFORMS, vol. 31(1), pages 49-59, February.
    4. Abboud, Nicolas & Inuiguchi, Masahiro & Sakawa, Masatoshi & Uemura, Yoshio, 1998. "Manpower allocation using genetic annealing," European Journal of Operational Research, Elsevier, vol. 111(2), pages 405-420, December.
    5. Éric Taillard & Philippe Badeau & Michel Gendreau & François Guertin & Jean-Yves Potvin, 1997. "A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows," Transportation Science, INFORMS, vol. 31(2), pages 170-186, May.
    6. Wen-Chyuan Chiang & Robert A. Russell, 1997. "A Reactive Tabu Search Metaheuristic for the Vehicle Routing Problem with Time Windows," INFORMS Journal on Computing, INFORMS, vol. 9(4), pages 417-430, November.
    7. Li, Haibing & Lim, Andrew, 2003. "Local search with annealing-like restarts to solve the VRPTW," European Journal of Operational Research, Elsevier, vol. 150(1), pages 115-127, October.
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    Citations

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    Cited by:

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    2. Lahyani, Rahma & Khemakhem, Mahdi & Semet, Frédéric, 2015. "Rich vehicle routing problems: From a taxonomy to a definition," European Journal of Operational Research, Elsevier, vol. 241(1), pages 1-14.
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    4. Enrico Bartolini & Mauro Dell’Amico & Manuel Iori, 2017. "Scheduling cleaning activities on trains by minimizing idle times," Journal of Scheduling, Springer, vol. 20(5), pages 493-506, October.
    5. Chargui, Kaoutar & Zouadi, Tarik & El Fallahi, Abdellah & Reghioui, Mohamed & Aouam, Tarik, 2021. "Berth and quay crane allocation and scheduling with worker performance variability and yard truck deployment in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    6. Semih Yalçındağ & Andrea Matta & Evren Şahin & J. George Shanthikumar, 2016. "The patient assignment problem in home health care: using a data-driven method to estimate the travel times of care givers," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 304-335, June.
    7. 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.
    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. Hossein Hashemi Doulabi & Gilles Pesant & Louis-Martin Rousseau, 2020. "Vehicle Routing Problems with Synchronized Visits and Stochastic Travel and Service Times: Applications in Healthcare," Transportation Science, INFORMS, vol. 54(4), pages 1053-1072, July.
    10. Zhang, Zizhen & Qin, Hu & Wang, Kai & He, Huang & Liu, Tian, 2017. "Manpower allocation and vehicle routing problem in non-emergency ambulance transfer service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 45-59.
    11. 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.
    12. Massimo Di Francesco & Gianfranco Fancello & Patrizia Serra & Paola Zuddas, 2015. "Optimal management of human resources in transhipment container ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(2), pages 127-144, February.
    13. 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.
    14. 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.
    15. Y Guo & A Lim & B Rodrigues & Y Zhu, 2006. "Carrier assignment models in transportation procurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1472-1481, December.
    16. Michael Drexl, 2012. "Synchronization in Vehicle Routing---A Survey of VRPs with Multiple Synchronization Constraints," Transportation Science, INFORMS, vol. 46(3), pages 297-316, August.

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    Keywords

    manpower allocation; heuristics;

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