Chapter
Mar 18, 2024

Cruciality: Role of Network Topology in Schedule Resilience to Delay Propagation

Publication: Construction Research Congress 2024

ABSTRACT

Construction schedules are widely modeled and analyzed as networks that consist of activities within a dependency structure of sequential and parallel paths. All future activities carry duration uncertainty that is caused by diverse risk factors. But worse, by being linked, activities can cause a “ripple effect” of delays that propagate through the remainder of a project. This paper studies this phenomenon systematically: it captures topology with the intuitive concept of reachability. It formalizes an index, cruciality, as the product of reachability and scaled covariance of any two activities within a schedule. And it simulates various test schedules with probabilistic activity durations to answer two related questions: How does schedule topology determine vulnerability to delays? And what ways can schedulers take to design more resilient schedules? It differs from research on the static critical path and forecasting the project duration; instead this work seeks to stabilize said value. Two strategies can be used to reduce the potential propagation: reduce uncertainty in high-risk activities. Or reroute, combine, or even delete links if this is technically feasible. A more parallel topology is beneficial, because it reduces potential interactions. In practice, this could be realized through strategies like modular design or task-dedicated resources.

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REFERENCES

Ballesteros-Pérez, P., Cerezo-Narvaez, A., Otero-Mateo, M., Pastor-Fernandez, A., and Vanhoucke, M. (2019). “Performance comparison of activity sensitivity metrics in schedule risk analysis.” Automation in Construction, 106(October), 102906(11).
Cheng, Y., Yuan, J., Zhu, L., and Li, W. (2020). “Risk propagation model and simulation of schedule change in construction projects: A complex network approach.” Complexity, 2020: 1–12.
Latva-Koivisto, A. M. (2001). Finding a complexity measure for business process models., Systems Analysis Laboratory, Helsinki University of Technology, Finland: 26 pp. <citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.25.2991>. May 14, 2023.
Lucko, G., and Su, Y. (2019). “Activity Cruciality as a Measure of Network Schedule Structure Resilience.” Proceedings of the 2019 10th Nordic Conference on Construction Economics and Organization, eds. Lill, I., Witt, E. D. Q., Tallinn, Estonia, May 7-8, 2019, Construction Researchers on Economics and Organisation in the Nordic Region, Copenhagen, Denmark: 179–188.
Lucko, G., Su, Y., and Thompson, R. C. (2018). “Influence of Network Structure on Schedule Performance: Extending Criticality Index to Capture Ripple Effect of Delays.” Proceedings of the 2018 Creative Construction Conference, eds. Hajdu, M., Skibniewski, M., Ljubljana, Slovenia, June 30 – July 3, 2018, Szent István University, Budapest, Hungary: 761–771.
Lucko, G., Su, Y., and Thompson, R. C. (2021). “Theoretical Quantification of Ripple Effect of Delays in Network Schedules via Activity Cruciality.” Automation in Construction, 129(September): 103789(15).
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Go to Construction Research Congress 2024
Construction Research Congress 2024
Pages: 228 - 237

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Published online: Mar 18, 2024

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1Visiting Lecturer, Dept. of Civil Engineering Technology, Environmental Management, and Safety, Rochester Institute of Technology. Email: [email protected]
G. Lucko, F.ASCE [email protected]
2Professor, Dept. of Civil and Environmental Engineering, Catholic Univ. of America, Washington, DC. ORCID: https://orcid.org/0000-0002-7355-3365. Email: [email protected]
3Senior Lecturer, Dept. of Structural Engineering, Ben-Gurion Univ. of the Negev, Beersheba, Israel. Email: [email protected]

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