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Optimization in dubbing scheduling

Author

Listed:
  • Nieves Brisaboa
  • Luisa Carpente
  • Ana Cerdeira-Pena
  • Silvia Lorenzo-Freire

Abstract

One of the main tasks in dubbing studios is to design good schedules to assign actors/actresses to dubbing sessions. This paper provides an effective tool based on the simulated annealing philosophy. The performance of the proposed heuristic is guaranteed by a binary linear programming model (BP model). By relaxing some integrality conditions in the BP model, we can achieve optimal schedules in real instances gathered from several dubbed films. Yet, in most cases, it is not possible to obtain these optimal schedules in a suitable computational time. On the contrary, the heuristic algorithm gets high quality solutions (and even the optimal ones) in just few seconds. Copyright Sociedad de Estadística e Investigación Operativa 2015

Suggested Citation

  • Nieves Brisaboa & Luisa Carpente & Ana Cerdeira-Pena & Silvia Lorenzo-Freire, 2015. "Optimization in dubbing scheduling," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(3), pages 685-702, October.
    • Handle: RePEc:spr:topjnl:v:23:y:2015:i:3:p:685-702
    DOI: 10.1007/s11750-015-0361-4
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    References listed on IDEAS

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    1. Kim, Kap Hwan & Moon, Kyung Chan, 2003. "Berth scheduling by simulated annealing," Transportation Research Part B: Methodological, Elsevier, vol. 37(6), pages 541-560, July.
    2. D. Parr & J. Thompson, 2007. "Solving the multi-objective nurse scheduling problem with a weighted cost function," Annals of Operations Research, Springer, vol. 155(1), pages 279-288, November.
    3. Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
    4. Eglese, R. W., 1990. "Simulated annealing: A tool for operational research," European Journal of Operational Research, Elsevier, vol. 46(3), pages 271-281, June.
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