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Simulated Annealing Genetic Algorithm Based Schedule Risk Management of IT Outsourcing Project

Author

Listed:
  • Fuqiang Lu
  • Hualing Bi
  • Min Huang
  • Shupeng Duan

Abstract

IT outsourcing is an effective way to enhance the core competitiveness for many enterprises. But the schedule risk of IT outsourcing project may cause enormous economic loss to enterprise. In this paper, the Distributed Decision Making (DDM) theory and the principal-agent theory are used to build a model for schedule risk management of IT outsourcing project. In addition, a hybrid algorithm combining simulated annealing (SA) and genetic algorithm (GA) is designed, namely, simulated annealing genetic algorithm (SAGA). The effect of the proposed model on the schedule risk management problem is analyzed in the simulation experiment. Meanwhile, the simulation results of the three algorithms GA, SA, and SAGA show that SAGA is the most superior one to the other two algorithms in terms of stability and convergence. Consequently, this paper provides the scientific quantitative proposal for the decision maker who needs to manage the schedule risk of IT outsourcing project.

Suggested Citation

  • Fuqiang Lu & Hualing Bi & Min Huang & Shupeng Duan, 2017. "Simulated Annealing Genetic Algorithm Based Schedule Risk Management of IT Outsourcing Project," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-17, September.
    • Handle: RePEc:hin:jnlmpe:6916575
    DOI: 10.1155/2017/6916575
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    Cited by:

    1. Qiang Wang & Dong Yu & Jinyu Zhou & Chaowu Jin, 2023. "Data Storage Optimization Model Based on Improved Simulated Annealing Algorithm," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    2. Horațiu Florian & Camelia Avram & Mihai Pop & Dan Radu & Adina Aștilean, 2023. "Resources Relocation Support Strategy Based on a Modified Genetic Algorithm for Bike-Sharing Systems," Mathematics, MDPI, vol. 11(8), pages 1-32, April.

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