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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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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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    Cited by:

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    6. Andrew Lim & Zhenzhen Zhang & Hu Qin, 2017. "Pickup and Delivery Service with Manpower Planning in Hong Kong Public Hospitals," Transportation Science, INFORMS, vol. 51(2), pages 688-705, May.
    7. 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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    11. 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.
    12. 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.
    13. 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.
    14. 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.
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    Keywords

    manpower allocation; heuristics;

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