Application of Agile Approach in Transportation Management System Development to Improve Construction Company Performance
Keywords:
Transportation Management, Agile Methodology, Performance, ConstructionAbstract
This research aims to explore the application of an Agile approach in developing a transport management system to improve the performance of construction companies. Problems encountered in construction transport management, including inflexibility, non-adaptability, and lack of communication, prompt a more dynamic and responsive approach. This research method involves stages of system development, from requirements definition to testing, by applying Agile principles such as Scrum or Kanban. Through thorough testing, the system is confirmed to have met the set quality standards before being widely implemented. The results show that applying Agile approaches can provide the flexibility, adaptability, and responsiveness needed to deal with the complexities in construction transport management. The contribution of this research is that it provides valuable insights for practitioners and academics in understanding the potential of Agile approaches in improving efficiency, transparency, and risk management in construction projects, as well as offering a foundation for developing more effective transport management systems in the future.
Downloads
References
Akhtar, A., Bakhtawar, B., & Akhtar, S. (n.d.). EXTREME PROGRAMMING VS SCRUM: A COMPARISON OF AGILE MODELS. International Journal of Tech-nology, Innovation and Management (IJTIM), 2, 2022. https://doi.org/10.54489/ijtim.v2i1.77
Alami, A., Krancher, O., & Paasivaara, M. (2022). The journey to technical excel-lence in agile software development. Information and Software Technology, 150. https://doi.org/10.1016/j.infsof.2022.106959
Alami, A., Zahedi, M., & Krancher, O. (2023). Antecedents of psychological safety in agile software development teams. Information and Software Technology, 162. https://doi.org/10.1016/j.infsof.2023.107267
Almeida, F., Simões, J., & Lopes, S. (2022). Exploring the Benefits of Combining DevOps and Agile. Future Internet, 14(2). https://doi.org/10.3390/fi14020063
Al-Saqqa, S., Sawalha, S., & Abdelnabi, H. (2020). Agile software development: Methodologies and trends. International Journal of Interactive Mobile Tech-nologies, 14(11). https://doi.org/10.3991/ijim.v14i11.13269
Alzahrani, J. I., & Emsley, M. W. (2013). The impact of contractors ’ attributes on construction project success : A post construction evaluation. JPMA, 31(2), 313–322. https://doi.org/10.1016/j.ijproman.2012.06.006
Bahamid, R. A., Doh, S. I., Khoiry, M. A., Kassem, M. A., & Al-Sharafi, M. A. (2022). The Current Risk Management Practices and Knowledge in the Construction Industry. Buildings, 12(7). https://doi.org/10.3390/buildings12071016
Boateng, A., Ameyaw, C., & Mensah, S. (2022). Assessment of systematic risk management practices on building construction projects in Ghana. Interna-tional Journal of Construction Management, 22(16), 3128–3136. https://doi.org/10.1080/15623599.2020.1842962
Bomström, H., Kelanti, M., Annanperä, E., Liukkunen, K., Kilamo, T., Sievi-Korte, O., & Systä, K. (2023). Information needs and presentation in agile software de-velopment. Information and Software Technology, 162. https://doi.org/10.1016/j.infsof.2023.107265
Choi, J., & Ha, M. (2022). Validation of project management information systems for industrial construction projects. Journal of Asian Architecture and Building Engineering, 21(5), 2046–2057. https://doi.org/10.1080/13467581.2021.1941999
Dingsoeyr, T., Falessi, D., & Power, K. (2019). Agile Development at Scale: The Next Frontier. In IEEE Software (Vol. 36, Issue 2, pp. 30–38). IEEE Computer Society. https://doi.org/10.1109/MS.2018.2884884
Dingsøyr, T., Nerur, S., Balijepally, V., & Moe, N. B. (2012). A decade of agile methodologies: Towards explaining agile software development. In Journal of Systems and Software (Vol. 85, Issue 6). https://doi.org/10.1016/j.jss.2012.02.033
Divya Sankar, S., & Selvam, J. (2020). Risk Management in Construction Industry. International Research Journal of Engineering and Technology. www.irjet.net
Estrada-Esponda, R. D., López-Benítez, M., Matturro, G., & Osorio-Gómez, J. C. (2024). Selection of software agile practices using Analytic hierarchy process. Heliyon, 10(1). https://doi.org/10.1016/j.heliyon.2023.e22948
Fredriksson, A., & Huge-Brodin, M. (2022). Green construction logistics – a multi-actor challenge. Research in Transportation Business and Management, 45(PA), 100830. https://doi.org/10.1016/j.rtbm.2022.100830
Guo, F., Wang, K., & Cao, E. (2023). A Digital Twin (DT) Framework at Design and Construction Phases. https://www.researchgate.net/publication/371416031
Hasan, R., Ta, A.-, & Razali, R. (2013). Prioritizing Requirements in Agile Devel-opment : A Conceptual Framework. Procedia Technology, 11(Iceei), 733–739. https://doi.org/10.1016/j.protcy.2013.12.252
Ingle, P. V., & Mahesh, G. (2022). Construction project performance areas for Indi-an construction projects. International Journal of Construction Management, 22(8), 1443–1454. https://doi.org/10.1080/15623599.2020.1721177
Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. (2014). A review of application of multi-criteria decision making methods in construction. In Automation in Construction (Vol. 45, pp. 151–162). Elsevier B.V. https://doi.org/10.1016/j.autcon.2014.05.013
Marzouk, M. M. (2011). Automation in Construction ELECTRE III model for value engineering applications. Automation in Construction, 20(5), 596–600. https://doi.org/10.1016/j.autcon.2010.11.026
Nieto-Morote, A., & Ruz-Vila, F. (2012). A fuzzy multi-criteria decision-making model for construction contractor prequalification. Automation in Construc-tion, 25, 8–19. https://doi.org/10.1016/j.autcon.2012.04.004
Pan, N. (2008). Fuzzy AHP approach for selecting the suitable bridge construction method. Automation in Construction, 17(8), 958–965. https://doi.org/10.1016/j.autcon.2008.03.005
Pham, T. T., Lingard, H., & Zhang, R. P. (2023). Factors influencing construction workers’ intention to transfer occupational health and safety training. Safety Science, 167. https://doi.org/10.1016/j.ssci.2023.106288
Rajabi, S., El-Sayegh, S., & Romdhane, L. (2022). Identification and assessment of sustainability performance indicators for construction projects. Environmental and Sustainability Indicators, 15(June), 100193. https://doi.org/10.1016/j.indic.2022.100193
Santos, R., Cunha, F., Rique, T., Perkusich, M., Almeida, H., Perkusich, A., & Icaro Costa, ´. (n.d.). A Comparative Analysis of Agile Teamwork Quality Instru-ments in Agile Software Development: A Qualitative Approach. https://doi.org/10.18293/DMSVIVA2023-217
Serpell, A., & Rubio, H. (2023). Evaluating project management (PM) readiness in construction companies: cases from Chile. Procedia Computer Science, 219, 1642–1649. https://doi.org/10.1016/j.procs.2023.01.457
Serrador, P., & Pinto, J. K. (2015). Does Agile work? - A quantitative analysis of ag-ile project success. International Journal of Project Management, 33(5). https://doi.org/10.1016/j.ijproman.2015.01.006
Shrivastava, S. V., & Rathod, U. (2014). Risks in Distributed Agile Development: A Review. Procedia - Social and Behavioral Sciences, 133, 417–424. https://doi.org/10.1016/j.sbspro.2014.04.208
Sihombing, D. (2023). Development of construction project cost budget application using rapid application development method. In Jurnal Mantik (Vol. 7, Issue 3). Online.
Tessema, A. T., Alene, G. A., & Wolelaw, N. M. (2022). Assessment of risk factors on construction projects in gondar city, Ethiopia. Heliyon, 8(11), e11726. https://doi.org/10.1016/j.heliyon.2022.e11726
Xu, H., Chang, R., Pan, M., Li, H., Liu, S., Webber, R. J., Zuo, J., & Dong, N. (2022). Application of Artificial Neural Networks in Construction Management: A Sci-entometric Review. In Buildings (Vol. 12, Issue 7). MDPI. https://doi.org/10.3390/buildings12070952
