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WBS-free scheduling method based on database relational model

Author

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  • Xiaokang Han

    (Xi’an University of Architecture and Technology
    Hualu Engineering and Technology Co., Ltd)

Abstract

With the rapid development of the economy, increasingly large, complex, and systematic projects put forward new requirements to project scheduling management, which make the methods and technology innovation of project scheduling management to meet the diversified needs of different users. This paper proposed a WBS-free scheduling method, which separates scheduling activities and WBS. The novel method establishes a data set scheduling model based on database relational model, extracts the database schedule data through P6, and applies P6 activity code to implement scheduling method innovation through initialization, screening, classification, and composition function of P6. The case study on Pakistan NRL-ISBL national refinery project scheduling management proved that the combination of traditional scheduling methods and WBS-free scheduling method is feasible in project scheduling execution and that WBS-free scheduling method can reduce the work load greatly and optimize the workload of progress planning, so WBS-free scheduling method is able to simplify the scheduling, solve the problem of diversity in scheduling form and implement the innovation of scheduling method.

Suggested Citation

  • Xiaokang Han, 2021. "WBS-free scheduling method based on database relational model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 509-519, June.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:3:d:10.1007_s13198-021-01106-x
    DOI: 10.1007/s13198-021-01106-x
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    References listed on IDEAS

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    1. A. Alan B. Pritsker & Lawrence J. Waiters & Philip M. Wolfe, 1969. "Multiproject Scheduling with Limited Resources: A Zero-One Programming Approach," Management Science, INFORMS, vol. 16(1), pages 93-108, September.
    2. Salim Rostami & Stefan Creemers & Roel Leus, 2017. "New strategies for stochastic resource-constrained project scheduling," Post-Print hal-01745268, HAL.
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    Cited by:

    1. Xiaokang Han & Wenzhou Yan & Ting Liu, 2022. "Critical chains and its randomness study for scheduling optimization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 844-854, April.

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