523
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Integrate computation intelligence with Bayes theorem into complex construction installation: a heuristic two-stage resource scheduling optimisation approach

, , &
Article: 2186333 | Received 14 Nov 2022, Accepted 27 Feb 2023, Published online: 13 Mar 2023

References

  • Afshar-Nadjafi, B. (2021). Multi-skilling in scheduling problems: A review on models, methods and applications. Computers & Industrial Engineering, 151, 107004. https://doi.org/10.1016/j.cie.2020.107004
  • Biruk, S., & Jaskowski, P. (2017). Scheduling linear construction projects with constraints on resource availability. Archives of Civil Engineering, 63(1), 3–15. https://doi.org/10.1515/ace-2017-0001
  • Deblaere, F., Demeulemeester, E., & Herroelen, W. (2011). Proactive policies for the stochastic resource-constrained project scheduling problem. European Journal of Operational Research, 214(2), 308–316. https://doi.org/10.1016/j.ejor.2011.04.019
  • Emambocus, B. A. S., Jasser, M. B., Hamzah, M., Mustapha, A., & Amphawan, A. (2021). An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP. IEEE Access, 9, 164820–164836. https://doi.org/10.1109/ACCESS.2021.3133493
  • Fahmy, A., Hassan, T., Bassioni, H., & McCaffer, R. (2019). Dynamic scheduling model for the construction industry. Built Environment Project and Asset Management, 10(3), 313–330. https://doi.org/10.1108/BEPAM-02-2019-0021
  • Florez, L., Castro-Lacouture, D., & Medaglia, A. L. (2013). Sustainable workforce scheduling in construction program management. Journal of the Operational Research Society, 64(8), 1169–1181. https://doi.org/10.1057/jors.2012.164
  • Francis, A. (2019). Chronographical spatiotemporal scheduling optimization for building projects. Frontiers in Built Environment, 5, 36. https://doi.org/10.3389/fbuil.2019.00036
  • Francis, A. (2020). Chronographical site-spatial-temporal modeling of construction operations. Frontiers in Built Environment, 6, 67. https://doi.org/10.3389/fbuil.2020.00067
  • Galagali, A. A. (2017). Time-Cost-Quality trade-off in construction project management. International Journal of Civil Engineering, 4(8), 24–31. https://doi.org/10.14445/23488352/IJCE-V4I8P104
  • Garcia-Nieves, J. D., Ponz-Tienda, J. L., Ospina-Alvarado, A., & Bonilla-Palacios, M. (2019). Multipurpose linear programming optimization model for repetitive activities scheduling in construction projects. Automation in Construction, 105, 102799. https://doi.org/10.1016/j.autcon.2019.03.020
  • Gawali, M. B., & Shinde, S. K. (2018). Task scheduling and resource allocation in cloud computing using a heuristic approach. Journal of Cloud Computing, 7(1), 4. https://doi.org/10.1186/s13677-018-0105-8
  • Hartmann, S., & Briskorn, D. (2022). An updated survey of variants and extensions of the resource-constrained project scheduling problem. European Journal of Operational Research, 297(1), 1–14. https://doi.org/10.1016/j.ejor.2021.05.004
  • Immorlica, N., Lucier, B., Mao, J., Syrgkanis, V., & Tzamos, C. (2021). Combinatorial assortment optimization. ACM Transactions on Economics and Computation (TEAC), 9(1), 1–34. https://doi.org/10.1145/3434415
  • Kannimuthu, M., Raphael, B., Ekambaram, P., & Kuppuswamy, A. (2019). Comparing optimization modeling approaches for the multi-mode resource-constrained multi-project scheduling problem. Engineering, Construction and Architectural Management, 27(4), 893–916. https://doi.org/10.1108/ECAM-03-2019-0156
  • Karunakaran, P., Abdullah, A. H., Nagapan, S., Sohu, S., & Kasvar, K. K. (2018). Categorization of potential project cost overrun factors in construction industry. Iop Conference, 140(1), 012098. https://doi.org/10.1088/1755-1315/140/1/012098
  • Lee, W., Migliaccio, G. C., Lin, K. Y., & Seto, E. Y. (2020). Workforce development: Understanding task-level job demands-resources, burnout, and performance in unskilled construction workers. Safety Science, 123, 104577. https://doi.org/10.1016/j.ssci.2019.104577
  • Lin, J. W., Fun, S. P., & Bing-Jean, L. (2018). CAD of human resource configuration in project scheduling for construction engineering applications. Computer Applications in Engineering Education, 26(5), 1255–1269. https://doi.org/10.1002/cae.21999
  • Liu, J., Sui, Z., Li, X., & Yang, J. (2021). A Bayesian-grouping based hybrid distributed cooperative evolutionary optimization for large-scale flexible job-shop scheduling problem. IEEE Access, 9, 69114–69126. https://doi.org/10.1109/ACCESS.2021.3076732
  • Long, Y., Zhang, X., & Gao, F. (2021). Urban fine management of multisource spatial data fusion based on smart city construction. Mathematical Problems in Engineering, 2021, 1–10. https://doi.org/10.1155/2021/5058791
  • Love, P. E., & Sing, C. P. (2013). Determining the probability distribution of rework costs in construction and engineering projects. Structure and Infrastructure Engineering, 9(11), 1136–1148. https://doi.org/10.1080/15732479.2012.667420
  • Park, Y. J., & Yi, C. Y. (2021). Resource-Based quality performance estimation method for construction operations. Applied Sciences, 11(9), 4122. https://doi.org/10.3390/app11094122
  • Peña, C., Romero, D., & Noguez, J. (2022). Workforce learning curves for human-Based assembly operations: A state-of-the-Art review. Applied Sciences, 12(19), 9608. https://doi.org/10.3390/app12199608
  • Rifai, A. P., Mara, S. T. W., & Norcahyo, R. (2022). A two-stage heuristic for the sequence-dependent job sequencing and tool switching problem. Computers & Industrial Engineering, 163, 107813. https://doi.org/10.1016/j.cie.2021.107813
  • Rostami, M., Berahmand, K., Nasiri, E., & Forouzande, S. (2021). Review of swarm intelligence-based feature selection methods. Engineering Applications of Artificial Intelligence, 100(1), 104210. https://doi.org/10.1016/j.engappai.2021.104210
  • Saberi-Movahed, F., Rostami, M., Berahmand, K., Karami, S., Tiwari, P., Oussalah, M., & Band, S. S. (2022, November). Dual regularized unsupervised feature selection based on matrix factorization and minimum redundancy with application in gene selection. Knowledge-Based Systems, 256, 109884. https://doi.org/10.1016/j.knosys.2022.109884.
  • Song, W. (2022). Building construction design based on particle swarm optimization algorithm. Journal of Control Science and Engineering, 2022, 2022. https://doi.org/10.1155/2022/7139230
  • Tsai, J. T., Fang, J. C., & Chou, J. H. (2013). Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm. Computers and Operations Research, 40(12), 3045–3055. https://doi.org/10.1016/j.cor.2013.06.012
  • Xiao, X., & Xie, C. (2021). Rational planning and urban governance based on smart cities and big data. Environmental Technology & Innovation, 21, 101381. https://doi.org/10.1016/j.eti.2021.101381
  • Yap, J., & Skitmore, M. (2020). Ameliorating time and cost control with project learning and communication management: Leveraging on reusable knowledge assets. International Journal of Managing Projects in Business ahead-of-print (ahead-of-print).
  • Yap, J. B. H., Goay, P. L., Woon, Y. B., & Skitmore, M. (2021). Revisiting critical delay factors for construction: Analysing projects in Malaysia. Alexandria Engineering Journal, 60(1), 1717–1729. https://doi.org/10.1016/j.aej.2020.11.021