Research Article

Examining Effectiveness of Project Scheduling Techniques on Project Performance: A Study of  Machine Rebuild Project at Kalumbila Mine

Authors

  • Chakupa Sailota School of Humanities, Information and Communication University, Lusaka, Zambia

    chakupasailota410@gmail.com

  • Kelvin Chibomba School of Humanities, Information and Communication University, Lusaka, Zambia

Abstract

This study aimed to examine the effectiveness of project scheduling techniques on project performance, using a machine rebuild project at Kalumbila as a case study. The research was guided by three objectives: To establish the effectiveness of project scheduling strategies on project performance, to determine the relationship between project scheduling techniques and project completion, and to investigate the challenges faced by project managers in adopting and implementing advanced scheduling methodologies. A quantitative research design was employed, targeting a population of 50 individuals comprising 10 top management, 10 middle management, and 30 low management employees at Kalumbila. A probability sampling design was utilized to ensure a representative sample. Data was collected using structured questionnaires and analysed using SPSS. Baseline schedules are deemed essential by 55% for achieving project goals. In relation to project cost management, 47.5% find modern scheduling techniques outperform traditional methods, while 100% agree that optimized resource allocation accelerates project completion. Stakeholder communication and collaboration have a moderate to significant impact on project completion rates, according to 55% and 45% of respondents, respectively. Best practices for successful implementation include strong leadership support (55%) and comprehensive training (35%). Overall, the study underscores the importance of agile methodologies, predictive analytics, and effective stakeholder engagement in optimizing project scheduling. However, it highlights the need to address challenges such as resource constraints, budget limitations, and regulatory impacts to improve scheduling practices.

Keywords:

Machine Rebuild Project Project Performance Project Scheduling Techniques

Article information

Journal

Scientific Journal of Engineering, and Technology

Volume (Issue)

2(1), (2025)

Pages

23-30

Published

16-03-2025

How to Cite

Sailota, C., & Chibomba, K. (2025). Examining Effectiveness of Project Scheduling Techniques on Project Performance: A Study of  Machine Rebuild Project at Kalumbila Mine. Scientific Journal of Engineering, and Technology, 2(1), 23-30. https://doi.org/10.69739/sjet.v2i1.314

References

Abdul Rahman, N. N., Memon, A. H., & Abdullah, A. (2021). Impact of Building Information Modeling (BIM) on Risk Management: A Case Study of Construction Projects in Malaysia. Journal of Construction Engineering and Management, 147(10), 04021070.

Bianchi, L., & Giordano, R. (2019). Traditional vs. modern scheduling methods: A comparative analysis in Italy. International Journal of Project Management, 37(6), 875-888.

Brown, A., & Evans, K. (2018). Challenges in implementing advanced project management techniques. Journal of Project Management, 36(4), 512-526.

Chen, H., & Wang, Y. (2020). Agile project management: Addressing uncertainties in software development projects. Journal of Systems and Software, 160, 110-125.

Cheong, E. K., Ling, F. Y., & Soon, Y. W. (2018). Challenges and benefits of adopting BIM in construction. Journal of Engineering, Design and Technology, 16(4), 615-630.

Garcia, M., & Smith, P. (2018). Effectiveness of Earned Value Management in engineering projects. Journal of Engineering Management, 45(1), 78-91.

Johnson, D., & Brown, M. (2019). Proactive risk management in project scheduling: An empirical study. International Journal of Project Management, 37(1), 124-134.

Johnson, L., & Brown, S. (2019). The role of Critical Path Method in mitigating schedule-related risks. Engineering Management Journal, 28(3), 89-102.

Lim, S. W., & Ng, T. H. (2020). Resource-Centric Scheduling Techniques for Uncertainty Management in Oil and Gas Projects: An Empirical Study. Journal of Management in Engineering, 36(5), 04020067.

Lim, Y. Y., & Tan, K. C. (2019). The role of training in enhancing project management skills and knowledge. International Journal of Training and Development, 23(2), 154-169.

Marino, L., & De Luca, F. (2017). Agile project scheduling in Italy’s public sector infrastructure projects. International Journal of Agile Management Systems, 4(3), 214-227

Meier, G., & Fischer, H. (2021). Barriers to adopting innovative scheduling methodologies in Germany. Journal of Applied Project Management, 35(2), 234-247.

Ministry of Works and Supply (MWS). (2020). Report on Project Performance and Resource Allocation in Zambia.

Mwape, J., Chileshe, N., & Azisem, P. (2020). Challenges in adopting the Critical Path Method in the Zambian construction industry. Engineering, Construction and Architectural Management, 27(3), 607-622.

Müller, R., & Jugdev, K. (2012). Project scheduling techniques and risk mitigation strategies in German construction projects. Construction Research Congress Proceedings (pp. 301-310).

Schmidt, T., & Pett, T. (2016). Information Technology-enabled project scheduling tools and risk management in German manufacturing. Journal of Manufacturing Technology Management, 27(4), 568-582.

Smith, J., Jones, A., & Williams, P. (2018). A comparison of project scheduling methods in the UK construction industry. Construction Management and Economics, 36(1-2), 34-48.

Tan, H. K., & Yusof, S. M. (2019). Assessing the Impact of Critical Path Method in Infrastructure Projects: Longitudinal Study in Malaysia. Journal of Management in Engineering, 35(5), 04019018.

Turner, R., & Hughes, W. (2020). Project Management in the UK: A Comprehensive Review. Journal of Construction Engineering and Management, 146(2), 04019117.

Weber, F., & Schäfer, M. (2019). Meta-analysis of project scheduling techniques in Germany. International Journal of Project Management, 37(8), 1124-1138.

Williams, T., & Davis, E. W. (2017). Uncertainty management in major infrastructure projects: an empirical study. International Journal of Project Management, 35(6), 1214-1228.

World Bank. (2020). Infrastructure Development Report: Zambia’s Path to Economic Growth.

Zambia Construction Federation (ZCF). (2021). Infrastructure Development Challenges and Opportunities in Zambia.

Zambia Institute of Planners (ZIP). (2019). Annual Report on Infrastructure Development in Zambia.

Zambia Project Management Association (ZPMA). (2022). Project Management Survey Report: Trends and Practices in Zambia.

Downloads

Views

61

Downloads

33