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A comparison of dispatching rules for executing a resource-constrained project with estimated activity durations

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  • Yang, Kum-Khiong

Abstract

This research examines the performance of 13 dispatching rules for executing a resource-constrained project whose estimated activity durations may differ from the actual activity durations. The dispatching rules are tested in environments characterized by three factors, namely, the order strength of the precedence relationship, the level of resource availability and the level of estimation errors in the activity durations. The results show that project environment affects only the performance differences but not the grouping of the better dispatching rules. The greatest number of successors, rank positional weight, greatest cumulative resource requirement and minimum activity slack dispatching rules consistently perform better than the other dispatching rules, unaffected by the accuracy of the estimated activity durations. This finding validates the results of many past studies in the deterministic project environment for choosing the right dispatching rule for both projects with and without well-estimated activity durations.

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  • 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.
    • Handle: RePEc:eee:jomega:v:26:y:1998:i:6:p:729-738
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    1. Edward W. Davis & James H. Patterson, 1975. "A Comparison of Heuristic and Optimum Solutions in Resource-Constrained Project Scheduling," Management Science, INFORMS, vol. 21(8), pages 944-955, April.
    2. Rainer Kolisch & Arno Sprecher & Andreas Drexl, 1995. "Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems," Management Science, INFORMS, vol. 41(10), pages 1693-1703, October.
    3. E. Demeulemeester & B. Dodin & W. Herroelen, 1993. "A Random Activity Network Generator," Operations Research, INFORMS, vol. 41(5), pages 972-980, October.
    4. Boctor, Fayer F., 1990. "Some efficient multi-heuristic procedures for resource-constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 49(1), pages 3-13, November.
    5. I. Kurtulus & E. W. Davis, 1982. "Multi-Project Scheduling: Categorization of Heuristic Rules Performance," Management Science, INFORMS, vol. 28(2), pages 161-172, February.
    6. Erik Demeulemeester & Willy Herroelen, 1992. "A Branch-and-Bound Procedure for the Multiple Resource-Constrained Project Scheduling Problem," Management Science, INFORMS, vol. 38(12), pages 1803-1818, December.
    7. Willis, R. J., 1985. "Critical path analysis and resource constrained project scheduling -- Theory and practice," European Journal of Operational Research, Elsevier, vol. 21(2), pages 149-155, August.
    8. De Reyck, Bert & Herroelen, Willy, 1996. "On the use of the complexity index as a measure of complexity in activity networks," European Journal of Operational Research, Elsevier, vol. 91(2), pages 347-366, June.
    9. Dale F. Cooper, 1976. "Heuristics for Scheduling Resource-Constrained Projects: An Experimental Investigation," Management Science, INFORMS, vol. 22(11), pages 1186-1194, July.
    10. F. Brian Talbot & James H. Patterson, 1978. "An Efficient Integer Programming Algorithm with Network Cuts for Solving Resource-Constrained Scheduling Problems," Management Science, INFORMS, vol. 24(11), pages 1163-1174, July.
    11. James H. Patterson, 1984. "A Comparison of Exact Approaches for Solving the Multiple Constrained Resource, Project Scheduling Problem," Management Science, INFORMS, vol. 30(7), pages 854-867, July.
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    Cited by:

    1. Zhu, Xia & Ruiz, Rubén & Li, Shiyu & Li, Xiaoping, 2017. "An effective heuristic for project scheduling with resource availability cost," European Journal of Operational Research, Elsevier, vol. 257(3), pages 746-762.
    2. 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.
    3. Jiewu Leng & Pingyu Jiang, 2019. "Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 979-994, March.

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