Resource Utilization and Repetitive Construction Scheduling using the Discrete Event Simulation Method

Authors

  • Adnan Fadjar Civil Engineering Doctoral Study Program, Tadulako University, Indonesia
  • Amar Akbar Ali Civil Engineering Doctoral Study Program, Tadulako University, Indonesia
  • Arief Setiawan Civil Engineering Doctoral Study Program, Tadulako University, Indonesia
Volume: 15 | Issue: 2 | Pages: 20702-20708 | April 2025 | https://doi.org/10.48084/etasr.9795

Abstract

The efficient utilization of resources in repetitive construction projects is crucial to optimizing schedules and reducing costs. This study investigates the application of Discrete Event Simulation (DES) to enhance resource utilization in scheduling repetitive construction activities, specifically the construction of Type-36 houses in Palu City, Indonesia. Traditional project-based planning methods, such as the Critical Path Method (CPM), are compared with production-based planning approaches. The study shows that although CPM can effectively determine project completion times, it falls short in optimizing resource allocation, particularly in scenarios involving repetitive tasks. By employing the DES tool SIMUL8, the study models the construction process and simulates various resource allocation scenarios to identify the optimal resources required. The results indicate that DES provides a more dynamic and accurate analysis, allowing real-time adjustments and improved resource management. The study concludes that integrating DES into construction project management can significantly enhance efficiency, reduce project duration, and optimize resource utilization.

Keywords:

project management, production management, construction management, discrete event simulation, critical path method, repetitive construction

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References

H. H. Bashford, A. Sawhney, K. D. Walsh, and K. Kot, "Implications of Even Flow Production Methodology for U.S. Housing Industry," Journal of Construction Engineering and Management, vol. 129, no. 3, pp. 330–337, Jun. 2003.

D. W. Halpin and L. S. Riggs, Planning and Analysis of Construction Operations. John Wiley & Sons, 1992.

H. Kerzner, Project Management: A Systems Approach to Planning, Scheduling, and Controlling. John Wiley & Sons, 2017.

A. Sawhney, K. D. Walsh, H. H. Bashford, and S. Palaniappan, "Impact of Inspected Buffers on Production Parameters of Construction Processes," Journal of Construction Engineering and Management, vol. 135, no. 4, pp. 319–329, Apr. 2009.

H. Bashford, A. Sawhney, K. Walsh, and J. Thompson, "Residential Construction and the Influence of Inspections on Cycle Time," pp. 1–7, Apr. 2012.

S. A. Mubarak, Construction Project Scheduling and Control. John Wiley & Sons, 2015.

S. N. Chary, Production and Operations Management, 6th ed. McGraw-Hill Education, 2019.

A. Grando, V. Belvedere, R. Secchi, and G. Stabilini, Production, operations and supply chain management. Bocconi University Press, 2021.

S. Gupta and M. Starr, Production and Operations Management Systems. CRC Press, 2014.

G. Howell, A. Laufer, and G. Ballard, "Interaction between Subcycles: One Key to Improved Methods," Journal of Construction Engineering and Management, vol. 119, no. 4, pp. 714–728, Dec. 1993.

S. A. Kumar and N. Suresh, Production And Operations Management. New Age International, 2006.

I. D. Tommelein, D. R. Riley, and G. A. Howell, "Parade Game: Impact of Work Flow Variability on Trade Performance," Journal of Construction Engineering and Management, vol. 125, no. 5, pp. 304–310, Sep. 1999.

K. D. Walsh, A. Sawhney, and H. H. Bashford, "Production Equations for Unsteady-State Construction Processes," Journal of Construction Engineering and Management, vol. 133, no. 3, pp. 254–261, Mar. 2007.

J. D. C. Little, "OR FORUM—Little's Law as Viewed on Its 50th Anniversary," Operations Research, vol. 59, no. 3, pp. 536–549, Jun. 2011.

A. Potter, D. R. Towill, and J. Gosling, "On the versatility of Little's Law in operations management: a review and classification using vignettes," Production Planning & Control, vol. 31, no. 6, pp. 437–452, Apr. 2020.

N. Slack, S. Chambers, and R. Johnston, Operations Management. Pearson Education, 2010.

W. J. Hopp and M. L. Spearman, Factory Physics, 3rd ed. Waveland Press, 2011.

R. Gerst, "The Little Known Law," ASQ Six Sigma Forum Magazine, vol. 3, no. 2, 2008.

J. D. C. Little and S. C. Graves, "Little's Law," in Building Intuition: Insights from Basic Operations Management Models and Principles, Springer Science & Business Media, 2008.

G. S. Birrell, "Construction Planning—Beyond the Critical Path," Journal of the Construction Division, vol. 106, no. 3, pp. 389–407, Sep. 1980.

O. Stradal and J. Cacha, "Time Space Scheduling Method," Journal of the Construction Division, vol. 108, no. 3, pp. 445–457, Sep. 1982.

E. Forcael, M. González, J. Soto, F. Ramis, and C. Rodríguez, "Simplified Scheduling of a Building Construction Process using Discrete Event Simulation," in Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Innovation in Education and Inclusion," 2018.

S. Liu, A. Mansoor, B. Kugyelka, A. Bouferguene, and M. Al-Hussein, "On-site Assembly of Modular Building Using Discrete Event Simulation," in 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, Dec. 2019, pp. 3008–3018.

M. Arashpour, R. Wakefield, N. Blismas, and E. W. M. Lee, "A new approach for modelling variability in residential construction projects," The Australasian Journal of Construction Economics and Building, vol. 13, no. 2, pp. 83–92, Aug. 2020.

C. R. Kothari, Research Methodology : Methods And Techniques, 4th ed. New Delhi: New Age International Publishers, 2008.

B. O. Odedairo and N. Nwabuokei, "Framework for Operational Performance Measurements in Small and Medium Scale Industries Using Discrete Event Simulation Approach," Engineering, Technology & Applied Science Research, vol. 8, no. 4, pp. 3103–3107, Aug. 2018.

K. Concannon, M. Elder, K. Hindle, J. Tremble, and S. Tse, Simulation Modeling With Simul8. Visual Thinking International, 2007.

J. W. Hauge and K. N. Paige, Learning SIMUL8: The Complete Guide, 2nd ed. Plain Vu Publishers, 2004.

A. Saltelli, A. Puy, and S. L. Piano, "Sensitivity analysis," in Elgar Encyclopedia of Ecological Economics, Edward Elgar Publishing, 2023, pp. 460–466.

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How to Cite

[1]
Fadjar, A., Akbar Ali, A. and Setiawan, A. 2025. Resource Utilization and Repetitive Construction Scheduling using the Discrete Event Simulation Method. Engineering, Technology & Applied Science Research. 15, 2 (Apr. 2025), 20702–20708. DOI:https://doi.org/10.48084/etasr.9795.

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