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Critical Sequences and Resource Links Optimization in Resource-Constrained Project Scheduling

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  • Wan-An Cui

    (School of Management, Guangxi University for Nationalities, Nanning 530006, P. R. China)

Abstract

In order to identify critical activities and critical sequences under resource availability constraints, resource dependencies need to be established. By doing this, project managers and practitioners can focus their limited energy on specific activities and paths during the execution of a project schedule, thus guaranteeing that the project gets finished on time and with the available resources. This study proposes various rules to judge the superiority or inferiority of the methods of dependencies’ creation. The total number of critical sequences which is one of these rules, directly influences the degree of difficulty in controlling the whole project — a major concern for project managers. This study classifies activities in a resource-constrained project schedule on the basis of the relationships between activities and develops the basic idea behind the optimization of resource dependencies. Specifically, two mathematical models to minimize the total number of critical sequences and that of resource links through the table translation method are proposed. A computation example shows great improvement in the number of critical sequences, critical activities and resource links and gives effective results while solving the problems in the previous research. Moreover, simulations using J30, J60, and J120 instances by Kolisch highlight the high computing speed when searching for the actual minimum number of critical sequences and resource links thanks to the table translation method.

Suggested Citation

  • Wan-An Cui, 2018. "Critical Sequences and Resource Links Optimization in Resource-Constrained Project Scheduling," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(05), pages 1-26, October.
  • Handle: RePEc:wsi:apjorx:v:35:y:2018:i:05:n:s021759591850032x
    DOI: 10.1142/S021759591850032X
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    References listed on IDEAS

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    1. W Herroelen & R Leus, 2005. "Identification and illumination of popular misconceptions about project scheduling and time buffering in a resource-constrained environment," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(1), pages 102-109, January.
    2. Junguang Zhang & Saike Jia & Estrella Diaz, 2018. "Dynamic monitoring and control of a critical chain project based on phase buffer allocation," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(12), pages 1966-1977, December.
    3. Jerome D. Wiest, 1964. "Some Properties of Schedules for Large Projects with Limited Resources," Operations Research, INFORMS, vol. 12(3), pages 395-418, June.
    4. Yang, Kum-Khiong, 1998. "A comparison of dispatching rules for executing a resource-constrained project with estimated activity durations," Omega, Elsevier, vol. 26(6), pages 729-738, December.
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