Strategies for Optimising Schedule Management Delays of Residential Projects in China: A Case Study of Yun Yue Dong Fang Project

Authors

  • Yin Hengbing School of Housing, Building and Planning, Universiti Sains Malaysia, Malaysia
  • Khoo Terh Jing School of Housing, Building and Planning, Universiti Sains Malaysia, Malaysia
  • Liu Qinghua Centre for Global Sustainability Studies, Universiti Sains Malaysia, Malaysia
  • Li Yao School of Housing, Building and Planning, Universiti Sains Malaysia, Malaysia

DOI:

https://doi.org/10.32890/ijms2026.33.1.8

Keywords:

Residential projects, construction process, schedule management delays, optimization strategies

Abstract

Chinese residential developers face complex challenges during the construction process. In particular, schedule management often becomes uncontrolled, leading to delays that hinder timely fund returns and economic losses, and inevitably reputational damage. Grounded in the theory of project progress management, this study uses the Yun Yue Dong Fang (YYDF) project in China as a case in point to explore and rank optimization strategies for schedule management. As a qualitative study, semi-structured interviews were used to gather data from seven project managers from seven participating developers. Participants included key decision makers, such as contractors and supervisors from the study sample. Interview data were coded and analyzed in NVivo for classification and theme extraction. Six key optimization themes were identified, namely optimization in construction, communication, project planning, design, procurement, and funding. The findings highlight strategies applicable to clients and construction units and emphasize the need to strengthen management and control across units and links in the delivery chain. The study also provides a reference value for the management schedule of project progress in Chinese residential development companies. The six strategies identified possess conditional cross-regional adaptability. Although construction projects commonly suffer from management fragmentation and difficulties in resource coordination, the proposed strategies can inform residential development projects in other developing countries or emerging markets after appropriate localization. Overall, this in-depth case study translates theory into practice, providing an empirically derived, ranked set of strategies for mitigating schedule delays, and offers actionable guidance for stakeholders seeking to stabilize schedules, secure cash-flow cycles, and protect corporate reputation.

Downloads

Download data is not yet available.

References

Abbasi, O., Noorzai, E., Gharouni Jafari, K., & Golabchi, M. (2020a). Exploring the causes of delays in construction industry using a cause-and-effect diagram: Case study for Iran. Journal of Architectural Engineering, 26(3). https://doi.org/10.1061/(ASCE)AE.1943-5568.0000431

Abbasi, S., Taghizade, K., & Noorzai, E. (2020b). BIM-Based combination of takt time and discrete event simulation for implementing just in time in construction scheduling under constraints. Journal of Construction Engineering and Management, 146(12). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001940

Abdelalim, A. M., Salem, M., Salem, M., Al-Adwani, M., & Tantawy, M. (2025). Analyzing cost overrun risks in construction projects: A multi-stakeholder perspective using fuzzy group decision-making and K-Means clustering. Buildings, 15(3), 447. https://doi.org/10.3390/buildings15030447

Aibinu, A. A., & Jagboro, G. O. (2002). The effects of construction delays on project delivery in Nigerian construction industry. International Journal of Project Management, 20(8), 593–599. https://doi.org/10.1016/S0263-7863(02)00028-5

Ajayi, B. O., & Chinda, T. (2022). Impact of construction delay-controlling parameters on project schedule: DEMATEL-System dynamics modeling approach. Frontiers in Built Environment, 8, 799314. https://doi.org/10.3389/fbuil.2022.799314

Akhmadi, M. H., & Himawan, A. R. (2021). Determination of financial feasibility of Indonesia’s new capital road construction project using scenario analysis. Planning Malaysia, 19(17). https://doi.org/10.21837/pm.v19i17.998

Akram, M., Habib, A., & Deveci, M. (2024). Application of critical path method in ePropertyWatch plan using Gaussian Pythagorean Fuzzy numbers. IEEE Transactions on Fuzzy Systems, 32(3), 1278–1287. https://doi.org/10.1109/TFUZZ.2023.3321720

Al Alawi, M. (2021). Delay in payment effects on productivity of small and medium construction companies in Oman: Exploration and ranking. Asian Journal of Civil Engineering, 22(7), 1347–1359. https://doi.org/10.1007/s42107-021-00387-8

Asadi, P., Zeidi, J. R., Mojibi, T., Yazdani-Chamzini, A., & Tamošaitienė, J. (2018). Project risk evaluation by using a new fuzzy model based on Elena guideline. Journal of Civil Engineering and Management., 24(1), 284–300. https://doi.org/10.3846/jcem.2018.3070

Astari, N. M., Subagyo, A. M., & Kusnadi, K. (2021). Perencanaan manajemen proyek dengan metode CPM (Critical Path Method) dan PERT (Program Evaluation and Review Technique). Konstruksia, 13(1), 164–180. https://doi.org/10.24853/jk.13.1.164-

Bagshaw, K. B. (2021). PERT and CPM in Project Management with Practical Examples. American Journal of Operations Research, 11(04), 215–226. https://doi.org/10.4236/ajor.2021.114013

Bajjou, M. S., & Chafi, A. (2020). Empirical study of schedule delay in Moroccan construction projects. International Journal of Construction Management, 20(7), 783–800. https://doi.org/10.1080/ 15623599.2018.1484859

Bakry, I., Moselhi, O., & Zayed, T. (2014). Optimized acceleration of repetitive construction projects. Automation in Construction, 39, 145–151. https://doi.org/10.1016/j.autcon.2013.07.003

Banihashemi, S. A., Khalilzadeh, M., Shahraki, A., Malkhalifeh, M. R., & Ahmadizadeh, S. S. R. (2021). Optimization of environmental impacts of construction projects: A time–cost–quality trade-off approach. International Journal of Environmental Science and Technology, 18(3), 631–646. https://doi.org/10.1007/s13762-020-02838-2

Banobi, E. T., & Jung, W. (2019). Causes and mitigation strategies of delay in power construction projects: Gaps between owners and contractors in successful and unsuccessful projects. Sustainability, 11(21), 5973. https://doi.org/10.3390/su11215973

Bataglin, F. S., Viana, D. D., Formoso, C. T., & Bulhões, I. R. (2020). Model for planning and controlling the delivery and assembly of engineer-to-order prefabricated building systems: Exploring synergies between Lean and BIM. Canadian Journal of Civil Engineering, 47(2), 165–177. https://doi.org/10.1139/cjce-2018-0462

Boddy, C. R. (2016). Sample size for qualitative research. Qualitative Market Research: An International Journal, 19(4), 426–432. https://doi.org/10.1108/QMR-06-2016-0053

Camacho, A., Cañizares, P. C., Estévez, S., & Núñez, M. (2018). A tool-supported framework for work planning on construction sites based on constraint programming. Automation in Construction, 86, 190–198. https://doi.org/10.1016/j.autcon.2017.11.008

Cerezo-Narváez, A., Pastor-Fernández, A., Otero-Mateo, M., & Ballesteros-Pérez, P. (2020). Integration of cost and work breakdown structures in the management of construction projects. Applied Sciences, 10(4), 1386–1386. https://doi.org/10.3390/app10041386

Chaudhary, A., & Meshram, S. (2025). Comparison of various techniques for project scheduling under resource constraints. International Journal of Engineering Trends and Technology - IJETT, 73. https://doi.org/10.14445/22315381/IJETT-V73I2P106

Chen et al. (2023). Optimal procurement strategy for off-site prefabricated components considering construction schedule and cost. Automation in Construction, 147, 104726–104726. https://doi.org/10.1016/j.autcon.2022.104726

Chen, H. L., Chen, W. T., & Lin, Y. L. (2016). Earned value project management: Improving the predictive power of planned value. International Journal of Project Management, 34(1), 22–29. https://doi.org/10.1016/J.IJPROMAN.2015.09.008

Cheng, M. Y., & Darsa, M. H. (2021). Construction schedule risk assessment and management strategy for foreign general contractors working in the Ethiopian construction industry. Sustainability, 13(14), 7830. https://doi.org/10.3390/su13147830

Chong, H.-Y., Yang, X., Goh, C. S., & Luo, Y. (2025). BIM and AI integration for dynamic schedule management: A practical framework and case study. Buildings, 15(14). https://doi.org/10.3390/ buildings15142451

Dadzie, J., Runeson, G., Ding, G., & Bondinuba, F. (2018). Barriers to adoption of sustainable technologies for energy-efficient building upgrade—semi-structured interviews. Buildings, 8(4), 57–57. https://doi.org/10.3390/buildings8040057

Delisle, J. (2019). Uncovering temporal underpinnings of project management standards. International Journal of Project Management, 37(8), 968–978. https://doi.org/10.1016/J.IJPROMAN.2019. 09.005

Denny, E., & Weckesser, A. (2022). How to do qualitative research? Bjog, 129(7), 1166–1167. https://doi.org/10.1111/1471-0528.17150

Derbe, G., Li, Y., Wu, D., & Zhao, Q. (2020). Scientometric review of construction project schedule studies: Trends, gaps and potential research areas. Journal of Civil Engineering and Management, 26(4), 343–363. https://doi.org/10.3846/jcem.2020.12317

Desai, N. V., Yadav, N. B., & Malaviya, N. N. (2023). Increasing the potential application of Microsoft project and Primavera P6 for project management: A comparative analysis of the residential project. Materials Today: Proceedings, 77, 794–804. https://doi.org/10.1016/j.matpr.2022.11.485

Dragan, I.-M., & Isaic-Maniu, A. (2022). An original solution for completing research through snowball sampling—handicapping method. Advances in Applied Sociology, 12(11), 729–746. https://doi.org/10.4236/aasoci.2022.1211052

Du, G. (2023). Research on problems and strategies of optimisation in construction project management. International Journal of Frontiers in Engineering Technology, 5(10). https://doi.org/10.25236/ ijfet.2023.051002

Duc, N. A. (2024). Enhancing programevaluation and review technique (PERT) for construction project scheduling with Bayesian updating and appropriate probability distributions. Journal of Science and Technology in Civil Engineering (JSTCE) - HUCE, 18(4), 132–147. https://doi.org/10. 31814/stce.huce2024-18(4)-11

Durdyev, S., & Hosseini, M. R. (2020). Causes of delays on construction projects: A comprehensive list. International Journal of Managing Projects in Business, 13(1), 20–46. https://doi.org/10. 1108/IJMPB-09-2018-0178

Durdyev, S., Omarov, M., & Ismail, S. (2017). Causes of delay in residential construction projects in Cambodia. Cogent Engineering, 4(1), 1291117. https://doi.org/10.1080/23311916.2017.1291117

Egwim, C. N., Alaka, H., Toriola-Coker, L. O., Balogun, H., & Sunmola, F. (2021). Applied artificial intelligence for predicting construction projects delay. Machine Learning with Applications, 6, 100166–100166. https://doi.org/10.1016/j.mlwa.2021.100166

Faridi, A. S., & El‐Sayegh, S. M. (2006). Significant factors causing delay in the UAE construction industry. Construction Management and Economics, 24(11), 1167–1176. https://doi.org/10.1080/01446190600827033

Fashina, A. A., Omar, M. A., Sheikh, A. A., & Fakunle, F. F. (2021). Exploring the significant factors that influence delays in construction projects in Hargeisa. Heliyon, 7(4), e06826–e06826. https://doi.org/10.1016/j.heliyon.2021.e06826

Gantt, H. L. (1913). Work, wages, and profits. The Engineering Magazine Co. https://www.loc.gov/resource /gdcmassbookdig.workwagesprofit00gant/

George, A. L. (2019). Case studies and theory development: The method of structured, focused comparison. In D. Caldwell (Ed.), Alexander L. George: A Pioneer in Political and Social Sciences (pp. 191–214). Springer International Publishing. https://doi.org/10.1007/978-3-319-90772-7_10

Gerovitch, S. (2008). InterNyet: Why the Soviet Union did not build a nationwide computer network. History and Technology, 24(4), 335–350. https://doi.org/10.1080/07341510802044736

Gondia, A., Siam, A., El-Dakhakhni, W., & Nassar, A. H. (2020). Machine learning algorithms for construction projects delay risk prediction. Journal of Construction Engineering and Management, 146(1). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001736

Guest, G., Namey, E., & Chen, M. (2020). A simple method to assess and report thematic saturation in qualitative research. Plos One, 15(5), 1–17. https://doi.org/10.1371/journal.pone.0232076

Gunduz, M., & Yahya, A. M. A. (2018). Analysis of project success factors in construction industry. Technological and Economic Development of Economy, 24(1), 67–80. https://doi.org/10.3846/20294913.2015.1074129

Guo, K., & Zhang, L. (2022). Multi-objective optimization for improved project management: Current status and future directions. Automation in Construction, 139, 104256–104256. https://doi.org/10.1016/j.autcon.2022.104256

Guo, S., Zhang, P., & Yang, J. (2018). System dynamics model based on evolutionary game theory for quality supervision among construction stakeholders. Journal of Civil Engineering and Management, 24(4), 318–330. https://doi.org/10.3846/jcem.2018.3068

Habibi, F., Barzinpour, F., & Sadjadi, S. J. (2018). Resource-constrained project scheduling problem: Review of past and recent developments. Journal of Project Management, 3, 55–88. https://doi.org/10.5267/j.jpm.2018.1.005

Habibi, M., & Kermanshachi, S. (2018). Phase-based analysis of key cost and schedule performance causes and preventive strategies: Research trends and implications. Engineering, Construction and Architectural Management, 25(8), 1009–1033. https://doi.org/10.1108/ECAM-10-2017-0219

Hafiz, N. K., Alias, Z., Kumarasamy, M. M., & Mokhtar, N. (2024). The mediating role of servant leadership in predicting green management practices: A preliminary study. International Journal of Management Studies, 31(2), 499–532. https://doi.org/10.32890/ijms2024.31.2.5

Hendradewa, A. P. (2019). Schedule risk analysis by different phases of construction project using CPM-PERT and Monte-Carlo Simulation. IOP Conference Series: Materials Science and Engineering, 528(1), 012035. https://doi.org/10.1088/1757-899X/528/1/012035

Henriques, D., Pereira, R., Bianchi, I. S., Almeida, R., & Silva, M. M. da. (2021). How IT governance can assist IoT project implementation. International Journal of Information Systems and Project Management, 8(3), 25–45. https://doi.org/10.12821/ijispm080302

Hossain, Md. M., & Ahmed, S. (2022). Developing an automated safety checking system using BIM: A case study in the Bangladeshi construction industry. International Journal of Construction Management, 22(7), 1206–1224. https://doi.org/10.1080/15623599.2019.1686833

Hsu, P. Y., Aurisicchio, M., & Angeloudis, P. (2019). Risk-averse supply chain for modular construction projects. Automation in Construction, 106, 102898–102898. https://doi.org/10.1016/j.autcon. 2019.102898

Hussain, M., & Mubarak, S. (2021). Measuring human resource attitude using organisational theory of relationship: The way forward. International Journal of Management Studies, 28(1), 57-88. https://doi.org/10.32890/ijms.28.1.2021.9409

Jin, R., Hong, J., & Zuo, J. (2020). Environmental performance of off-site constructed facilities: A critical review. Energy and Buildings, 207, 109567–109567. https://doi.org/10.1016/j.enbuild.2019. 109567

Jumaa, R. K., & Khaleel, A. S. (2022). Evaluation of the application of quality management systems in projects quality management guidelines according to the specification ISO 10006:2017: A case study in the Department of Engineering Construction. Journal of Techniques, 4(3), 87–98. https://doi.org/10.51173/jt.v4i3.514

Kenar, E., İpek, M., Düğenci, M., & Korkmaz, Ö. A. (2023). Applying the fuzzy PERT method in project management: A real-life case study. International Journal of Computational and Experimental Science and Engineering, 9(2), 123–132. https://doi.org/10.22399/ijcesen.1262975

Kerkhove, L. P., & Vanhoucke, M. (2020). Multi-mode schedule optimisation for incentivised projects. Computers & Industrial Engineering, 142, 106321–106321. https://doi.org/10.1016/J.CIE. 2020.106321

Kholil, M., Nurul Alfa, B., & Hariadi, M. (2018). Scheduling of house development projects with CPM and PERT method for time efficiency (Case study: house type 36). IOP Conference Series: Earth and Environmental Science, 140(1), 012010. https://doi.org/10.1088/1755-1315/140/1/012010

Khoo, T. J., Ha, C. Y., Mohd Shafiei, M. W., & Ismail, R. (2025). Analyzing green site management practices in Malaysia: Trends and insights. International Journal of Management Studies, 32(1), 41–60. https://doi.org/10.32890/ijms2025.32.1.3

Khoo, T. J., Shafiei, M. W. M., Ha, C. Y., & Ismail, R. (2024). Green site management practices in the Malaysian construction sites. International Journal of Management Studies, 31(2), 605-630. https://doi.org/10.32890/ijms2024.31.2.8

Kim, J., Lim, J., Lim, H. C., & Kim, D. Y. (2022). Improving sustainable project success strategies focused on cost and schedule for electrical construction project management. Sustainability, 14(5), 2653. https://doi.org/10.3390/su14052653

Kim, M.-S., Lee, E.-B., Jung, I.-H., & Alleman, D. (2018). Risk assessment and mitigation model for overseas steel-plant project investment with analytic hierarchy process—fuzzy inference system. Sustainability, 10(12), 4780. https://doi.org/10.3390/su10124780

Kineber, A. F. (2024). Identifying the Internet of Things (IoT) implementation benefits for sustainable construction project. HBRC Journal, 20(1), 700–766. https://doi.org/10.1080/16874048. 2024.2369462

Kroese, D. P., & Rubinstein, R. Y. (2012). Monte Carlo methods. WIREs Computational Statistics, 4(1), 48–58. https://doi.org/10.1002/wics.194

Kusimo et al. (2019). Optimisation of resource management in construction projects: A big data approach. World Journal of Science, Technology and Sustainable Development, 16(2), 82–93. https://doi.org/10.1108/WJSTSD-05-2018-0044

Lamy, J. (2011). What management does to space projects: The Franco-Soviet Project ARCAD 3 in the late 1970s. Science in Context, 24(4), 545–586. https://doi.org/10.1017/S0269889711000226

Le-Hoai, L., Lee, Y. D., & Lee, J. Y. (2008). Delay and cost overruns in Vietnam large construction projects: A comparison with other selected countries. KSCE Journal of Civil Engineering, 12(6), 367–377. https://doi.org/10.1007/s12205-008-0367-7

Li, D., Li, X., Feng, H., Wang, Y., & Fan, S. (2022). ISM-based relationship among critical factors that affect the choice of prefabricated concrete buildings in China. International Journal of Construction Management, 22(6), 977–992. https://doi.org/10.1080/15623599.2019.1675306

Li, Y., Song, H., Sang, P., Chen, P.-H., & Liu, X. (2019). Review of critical success factors (CSFs) for green building projects. Building and Environment, 158, 182–191. https://doi.org/10.1016/j. buildenv.2019.05.020

Ling, F. Y. Y., Low, S. P., Wang, S. Q., & Lim, H. H. (2009). Key project management practices affecting Singaporean firms’ project performance in China. International Journal of Project Management, 27(1), 59–71. https://doi.org/10.1016/J.IJPROMAN.2007.10.004

Liu et al. (2025). Transforming the construction industry towards circular supply chain management 5.0: Identifying critical barrier factors through bibliometric and ISM-MICMAC. Journal of Cleaner Production, 520, 146118. https://doi.org/10.1016/j.jclepro.2025.146118

Liu, Z., Chen, Y., Yang, X., & Yan, J. (2023). Power to heat: Opportunity of flexibility services provided by building energy systems. Advances in Applied Energy, 11, 100149–100149. https://doi.org/10. 1016/j.adapen.2023.100149

Lu, H., Wang, H., Xie, Y., & Wang, X. (2018). Study on construction material allocation policies: A simulation optimization method. Automation in Construction, 90, 201–212. https://doi.org/10.1016/J.AUTCON.2018.02.012

Luo, T., Xue, X., Tan, Y., Wang, Y., & Zhang, Y. (2021). Exploring a body of knowledge for promoting the sustainable transition to prefabricated construction. Engineering, Construction and Architectural Management, 28(9), 2637–2666. https://doi.org/10.1108/ECAM-03-2020-0154

Lyneis, J. M., & Ford, D. N. (2007). System dynamics applied to project management: A survey, assessment, and directions for future research. System Dynamics Review, 23(2–3), 157–189. https://doi.org/10.1002/sdr.377

Meglin, R., Kytzia, S., & Habert, G. (2022). Uncertainty, variability, price changes and their implications on a regional building materials industry: The case of Swiss canton Argovia. Journal of Cleaner Production, 330, 129944. https://doi.org/10.1016/j.jclepro.2021.129944

Mostafa, B. J., Pratik, H. R., & Ehsan, S. (2021). Contractor-delay control in building projects: Escalation of strategy from primary proactive to secondary reactive. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 13(2). https://doi.org/10.1061/(ASCE)LA.1943-4170.0000449

Mostafa, S., Tam, V. W., Dumrak, J., & Mohamed, S. (2020). Leagile strategies for optimizing the delivery of prefabricated house building projects. International Journal of Construction Management, 20(8), 867–881. https://doi.org/10.1080/15623599.2018.1494674

Muneeswaran, G., Manoharan, P., Awoyera, P. O., & Adesina, A. (2020). A statistical approach to assess the schedule delays and risks in Indian construction industry. International Journal of Construction Management, 20(5), 450–461. https://doi.org/10.1080/15623599.2018.1484991

Muthuveeran, A. A., Mohd Tahir, O., Hassan, M. A., & Yin, I. (2022). Investigating the current risk management process practice in Malaysian landscape planning projects. Planning Malaysia, 20. https://doi.org/10.21837/pm.v20i20.1078

Nafe Assafi, M., Hossain, Md. M., Chileshe, N., & Datta, S. D. (2022). Development and validation of a framework for preventing and mitigating construction delay using 4D BIM platform in Bangladeshi construction sector. Construction Innovation, 23(5), 1255–1278. https://doi.org/10.1108/CI-08-2021-0160

Navarrete, M. S., Adrián, C., & Bachelet, V. C. (2022). Respondent-driven sampling: Advantages and disadvantages from a sampling method. Medwave, 22(01), e002528. https://doi.org/10.5867/ medwave.2022.01.002528

Nguyen, L. H. (2019). Relationships between critical factors related to team behaviors and client satisfaction in construction project organizations. Journal of Construction Engineering and Management, 145(3). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001620

Ninpan, K., Huang, S., Vitillo, F., Assaad, M. A., Benmiloud Bechet, L., & Plana, R. (2024). Mitigating co-activity conflicts and resource overallocation in construction projects: A modular heuristic scheduling approach with Primavera P6 EPPM Integration. Algorithms, 17(6), 230. https://doi.org/10.3390/a17060230

Nolz, P. C. (2021). Optimizing construction schedules and material deliveries in city logistics: A case study from the building industry. Flexible Services and Manufacturing Journal, 33(3), 846–878. https://doi.org/10.1007/s10696-020-09391-7

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis. International Journal of Qualitative Methods, 16(1). https://doi.org/10.1177/1609406917733847

Odeh, A. M., & Battaineh, H. T. (2002). Causes of construction delay: Traditional contracts. International Journal of Project Management, 20(1), 67–73. https://doi.org/10.1016/S0263-7863(00)00037-5

Parsamehr, M., Perera, U. S., Dodanwala, T. C., Perera, P., & Ruparathna, R. (2023). A review of construction management challenges and BIM-based solutions: Perspectives from the schedule, cost, quality, and safety management. Asian Journal of Civil Engineering, 24(1), 353–389. https://doi.org/10.1007/s42107-022-00501-4

Raden, R. H., Mulyadi, L., & Iskandar, T. (2020). Delay factors in building construction project of state elementary school. Civil Engineering Journal, 6(3), 523–530. https://doi.org/10.28991/cej-2020-03091488

Rashed, M. S., & Alnassar, W. I. (2021). Evaluating the performance of project management using network diagrams methods: A case study in the Ramadi Municipality. Review of International Geographical Education Online, 11(5), 3971–3984. https://doi.org/10.48047/rigeo.11.05.279

Rasli, A., Asmi, A., & Majid, M. Z. A. (2006). Identification and classification of the implementation of knowledge management factors in Malaysian construction consulting companies: An exploratory study. International Journal of Management Studies, 13, 65–82. https://doi.org/10.32890/ijms

Riazi, S. R. M., Nawi, M. N. M., & Yaziz, M. F. A. (2020). Developing a holistic project time management framework utilizing fundamental supply chain management (SCM) tools to overcome delay in Malaysian public sector building projects. International Journal of Sustainable Construction Engineering and Technology, 11(1), 31–41. https://doi.org/10.30880/ijscet.2020.11.01.004

Rusnak, A. V., Nadtochii, I. I., Kolesnyk, A. V., Kotetunov, V. Y., & Issabayeva, A. B. (2021). Project management system of a competitive enterprise: An integrative approach. International Journal of Agricultural Extension, 9(Special Issue 2), 93–103. https://doi.org/10.33687/ijae.009.00.3966

Sanni-Anibire, M. O., Mohamad Zin, R., & Olatunji, S. O. (2022). Causes of delay in the global construction industry: A meta analytical review. International Journal of Construction Management, 22(8), 1395–1407. https://doi.org/10.1080/15623599.2020.1716132

Shaikh, F. A., Odhano, N., & Kaliannan, S. (2020). Performance and management of cost in the construction industry. Civil Engineering Journal, 6(7), 1368–1374. https://doi.org/10.28991/cej-2020-03091554

Sharma, S. K., Mudgal, S. K., Gaur, R., Chaturvedi, J., Rulaniya, S., & Sharma, P. (2024). Navigating sample size estimation for qualitative research. Journal of Medical Evidence, 5(2), 133–139. https://doi.org/10.4103/JME.JME_59_24

Solomon, M. B., Tilahun, S., Yehualaw, M., Matos, J., Sousa, H., & Workneh, E. T. (2021). Analysis of cost overrun and schedule delays of infrastructure projects in low income economies: Case studies in Ethiopia. Advances in Civil Engineering, 2021, 1–15. https://doi.org/10.1155/2021/4991204

Soomro, F. A., Memon, M. J., Chandio, A. F., Sohu, S., & Soomro, R. (2019). Causes of time overrun in construction of building projects in Pakistan. Engineering, Technology & Applied Science Research, 9(1), 3762–3764. https://doi.org/10.48084/etasr.2449

Stević et al. (2022). Assessment of causes of delays in the road construction projects in the Benin Republic using fuzzy PIPRECIA method. Mathematical Problems in Engineering, 2022, 1–18. https://doi.org/10.1155/2022/5323543

Su, Y., Lucko, G., & Thompson, R. C. (2018). Application of voting theory to the float ownership problem. Journal of Construction Engineering and Management, 144(1). https://doi.org/10.1061/(ASCE) CO.1943-7862.0001410

Suresh, D., & Annamalai, S. (2024). Effect of schedule management plan in project management worth using structural equation modelling. Anais Da Academia Brasileira de Ciências, 96(2). https://doi.org/10.1590/0001-3765202420230117

Terzis, D. (2022). Monitoring innovation metrics in construction and civil engineering: Trends, drivers and laggards. Developments in the Built Environment, 9, 100064. https://doi.org/10.1016/j.dibe. 2021.100064

Thomas, H. R., Riley, D. R., & Messner, J. I. (2005). Fundamental principles of site material management. Journal of Construction Engineering and Management, 131(7), 808–815. https://doi.org/10.1061/ (ASCE)0733-9364(2005)131:7(808)

Tomczak, M., & Jaskowski, P. (2020). Crashing construction project schedules by relocating resources. IEEE Access, 8, 224522–224531. https://doi.org/10.1109/ACCESS.2020.3044645

Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. John Wiley & Sons.

Tripathi, K. K., & Jha, K. N. (2018). Determining success factors for a construction organization: A structural equation modeling approach. Journal of Management in Engineering, 34(1). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000569

Varela, M. L. R., Putnik, G. D., Manupati, V. K., Rajyalakshmi, G., Trojanowska, J., & Machado, J. (2021). Integrated process planning and scheduling in networked manufacturing systems for I4.0: A review and framework proposal. Wireless Networks, 27(3), 1587–1599. https://doi.org/10.1007/s11276-019-02082-8

Waycott, J., Zhao, W., Kelly, R. M., & Robertson, E. (2022). Technology-mediated enrichment in aged care: Survey and interview study. JMIR Aging, 5(2), e31162. https://doi.org/10.2196/31162

Wuni, I. Y., & Shen, G. Q. (2020). Critical success factors for management of the early stages of prefabricated prefinished volumetric construction project life cycle. Engineering, Construction and Architectural Management, 27(9), 2315–2333. https://doi.org/10.1108/ECAM-10-2019-0534

Xie, L., Chen, Y., & Chang, R. (2021). Scheduling optimization of prefabricated construction projects by genetic algorithm. Applied Sciences, 11(12), 5531. https://doi.org/10.3390/app11125531

Xie, L., Wu, S., Chen, Y., Chang, R., & Chen, X. (2023). A case-based reasoning approach for solving schedule delay problems in prefabricated construction projects. Automation in Construction, 154, 105028. https://doi.org/10.1016/j.autcon.2023.105028

Yap, J. B. H., & Shavarebi, K. (2022). Enhancing project delivery performances in construction through experiential learning and personal constructs: Competency development. International Journal of Construction Management, 22(3), 436–452. https://doi.org/10.1080/15623599.2019.1629864

Yaqin, H. N., Tjendani, H. T., & Witjaksana, B. (2023). Analysis of the acceleration of time and cost of implementing building construction projects using the critical path method (CPM) method. Devotion: Journal of Research and Community Service, 4(2), 336–346. https://doi.org/10.36418/ dev.v4i2.388

Yaseen, Z. M., Ali, Z. H., Salih, S. Q., & Al-Ansari, N. (2020). Prediction of risk delay in construction projects using a hybrid artificial intelligence model. Sustainability, 12(4), 1514. https://doi.org/10. 3390/su12041514

Yin, H., Jing, K. T., Qinghua, L., & Yao, L. (2025). Factors influencing schedule management delays on residential projects in China—A case study of Yun Yue Dong Fang Project. Turkish Journal of Civil Engineering, 36(6), 1–25. https://doi.org/10.18400/tjce.1571706

Yu, Z., Wang, C., Zhao, Y., Hu, Z., & Tang, Y. (2023). Linear project-scheduling optimization considering a reverse construction scenario. Applied Sciences, 13(16), 9407. https://doi.org/10.3390/ app13169407

Yuan, M., Li, Z., Li, X., & Luo, X. (2021). Managing stakeholder-associated risks and their interactions in the life cycle of prefabricated building projects: A social network analysis approach. Journal of Cleaner Production, 323, 129102. https://doi.org/10.1016/j.jclepro.2021.129102

Zaalouk, A., Moon, S., & Han, S. (2023). Operations planning and scheduling in off-site construction supply chain management: Scope definition and future directions. Automation in Construction, 153, 104952. https://doi.org/10.1016/j.autcon.2023.104952

Zecheru, V., & Olaru, B. G. (2016). Work breakdown structure (WBS) in project management. Revista de Management Comparat Internațional, 17(1), 61–69. https://www.ceeol.com/search/article-detail?id=730106

Zhao, Y. (2024). Development of big data assisted effective enterprise resource planning framework for smart human resource management. Plos One, 19(5), e0303297. https://doi.org/10.1371/journal. pone.0303297

Zhou, J., & Ren, D. (2020). A hybrid model of external environmental benefits compensation to practitioners for the application of prefabricated construction. Environmental Impact Assessment Review, 81, 106358. https://doi.org/10.1016/j.eiar.2019.106358

Zulkifli, N. A. A., Ab. Azis, S. S., Saliman, N. S. S., & Adi Maimun, N. H. (2021). Factors causing failure in completing reassessment work among appointed valuation firms. Planning Malaysia, 19. https://doi.org/10.21837/pm.v19i17.992

Downloads

Published

31-01-2026

Research impact

Harvested 2026-09-10
0 citations recorded so far

Counts differ between services because each indexes a different body of literature. None of them is the whole picture.

Identifiers DOI 10.32890/ijms2026.33.1.8 OpenAlex W7134935481