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Model Research of Multi-Objective and Resource-Constrained Project Scheduling Problem

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Rong Zhou

    (University of Shanghai for Science and Technology)

  • Chun-ming Ye

    (University of Shanghai for Science and Technology)

  • Hui-min Ma

    (Shanghai electrical college)

Abstract

Keeping the time, cost, quality and resources in balance is the key factor to building the general objective in the engineering project scheduling, which is related to the success or failure of the whole project. The paper first establishes time, expenses, resources and quality objective functions, and then builds comprehensive optimization model by dimensionless and dynamic weighting methods. At last, the paper applies the model into real project case and uses chaos particle swarm optimization to solve the problem. Through the real application example, the article proves that this comprehensive optimization model combining with chaos particle swarm optimization algorithm can solve the multi-objective optimization problems more accurately and rapidly, which gain the ideal effect on construction period cut, cost reduction, quality improvement and resources balance.

Suggested Citation

  • Rong Zhou & Chun-ming Ye & Hui-min Ma, 2013. "Model Research of Multi-Objective and Resource-Constrained Project Scheduling Problem," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 991-1001, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38427-1_104
    DOI: 10.1007/978-3-642-38427-1_104
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    Cited by:

    1. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.

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