Continuous Improvement in Construction Project Inventory Systems: An XP-Based Investigation during the Warranty Phase

Denny Jean Cross Sihombing

doi:10.54209/infosains.v14i01.3740

Authors

Denny Jean Cross Sihombing Atma Jaya Catholic University of Indonesia

DOI:

https://doi.org/10.54209/infosains.v14i01.3740

Keywords:

Continuous Improvement Project, Inventory Systems, Warranty Phase, XP-Based Investigation

Abstract

This research explores the importance of effective management in the context of construction projects, with a particular focus on the warranty phase and inventory systems. An efficient inventory system is critical in ensuring the smooth operation of construction projects involving the management of materials, equipment, and other supplies. This research focuses on common challenges in inventory management, including accurate stock monitoring and inventory risk management. This research proposes a Continuous Improvement approach, with the implementation of Extreme Programming (XP), to systematically detect, analyze, and address issues in the inventory system of construction projects on an ongoing basis. The warranty phase in the construction project cycle is identified as a critical period that requires special attention to construction quality and performance. The research stages involved data collection, application development, and user acceptance analysis. The results included identifying project needs through interviews, surveys, and observations and developing an XP-based application to improve inventory management. Feature testing and user acceptance analysis showed that this application can meet the needs of construction projects with a user satisfaction rate of 87 percent. This research is expected to make a real contribution toward improving the efficiency and effectiveness of construction projects through responsive and adaptive inventory solutions.

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References

C. Trask and H. C. Linderoth, “Digital technologies in construction: A systematic mapping review of evidence for improved occupational health and safety,” Journal of Building Engineering, vol. 80. Elsevier Ltd, Dec. 01, 2023. doi: 10.1016/j.jobe.2023.108082.

P. V. Ingle and G. Mahesh, “Construction project performance areas for Indian construction projects,” International Journal of Construction Management, vol. 22, no. 8, pp. 1443–1454, 2022, doi: 10.1080/15623599.2020.1721177.

S. Divya Sankar and J. Selvam, “Risk Management in Construction Industry,” International Research Journal of Engineering and Technology, 2020, [Online]. Available: www.irjet.net

J. I. Alzahrani and M. W. Emsley, “The impact of contractors ’ attributes on construction project success : A post construction evaluation,” JPMA, vol. 31, no. 2, pp. 313–322, 2013, doi: 10.1016/j.ijproman.2012.06.006.

N. Pan, “Fuzzy AHP approach for selecting the suitable bridge construction method,” Autom Constr, vol. 17, no. 8, pp. 958–965, 2008, doi: 10.1016/j.autcon.2008.03.005.

M. M. Marzouk, “Automation in Construction ELECTRE III model for value engineering applications,” Autom Constr, vol. 20, no. 5, pp. 596–600, 2011, doi: 10.1016/j.autcon.2010.11.026.

Y.-Y. Lai, L.-H. Yeh, P.-F. Chen, P.-H. Sung, and Y.-M. Lee, “Management and Recycling of Construction Waste in Taiwan,” Procedia Environ Sci, vol. 35, pp. 723–730, 2016, doi: 10.1016/j.proenv.2016.07.077.

P. H. D. Nguyen and A. Robinson Fayek, “Applications of fuzzy hybrid techniques in construction engineering and management research,” Autom Constr, vol. 134, p. 104064, 2022, doi: 10.1016/j.autcon.2021.104064.

A. Fredriksson and M. Huge-Brodin, “Green construction logistics – a multi-actor challenge,” Research in Transportation Business and Management, vol. 45, no. PA, p. 100830, 2022, doi: 10.1016/j.rtbm.2022.100830.

A. Nieto-Morote and F. Ruz-Vila, “A fuzzy multi-criteria decision-making model for construction contractor prequalification,” Autom Constr, vol. 25, pp. 8–19, 2012, doi: 10.1016/j.autcon.2012.04.004.

F. Guo, K. Wang, and E. Cao, “A Digital Twin (DT) Framework at Design and Construction Phases,” 2023. [Online]. Available: https://www.researchgate.net/publication/371416031

J. Choi and M. Ha, “Validation of project management information systems for industrial construction projects,” Journal of Asian Architecture and Building Engineering, vol. 21, no. 5, pp. 2046–2057, 2022, doi: 10.1080/13467581.2021.1941999.

J. Gao, “Research on Financial Informatization Construction of Business and Finance Integration,” International Journal of Science and Research (IJSR), vol. 11, no. 7, pp. 354–358, Jul. 2022, doi: 10.21275/sr22704192347.

J. Zhang, J. C. P. Cheng, W. Chen, and K. Chen, “Digital Twins for Construction Sites: Concepts, LoD Definition, and Applications,” Journal of Management in Engineering, vol. 38, no. 2, Mar. 2022, doi: 10.1061/(asce)me.1943-5479.0000948.

M. Almashhadani, H. Almashhadani, and H. A. Almashhadani, “The Impact of Education on Construction Management: A Comprehensive Review,” International Journal of Business and Management Invention (IJBMI) ISSN, vol. 12, pp. 284–290, 2023, doi: 10.35629/8028-1206284290.

S. Rajabi, S. El-Sayegh, and L. Romdhane, “Identification and assessment of sustainability performance indicators for construction projects,” Environmental and Sustainability Indicators, vol. 15, no. June, p. 100193, 2022, doi: 10.1016/j.indic.2022.100193.

H. Xu et al., “Application of Artificial Neural Networks in Construction Management: A Scientometric Review,” Buildings, vol. 12, no. 7. MDPI, Jul. 01, 2022. doi: 10.3390/buildings12070952.

R. A. Bahamid, S. I. Doh, M. A. Khoiry, M. A. Kassem, and M. A. Al-Sharafi, “The Current Risk Management Practices and Knowledge in the Construction Industry,” Buildings, vol. 12, no. 7, Jul. 2022, doi: 10.3390/buildings12071016.

A. Serpell and H. Rubio, “Evaluating project management (PM) readiness in construction companies: cases from Chile,” Procedia Comput Sci, vol. 219, pp. 1642–1649, 2023, doi: 10.1016/j.procs.2023.01.457.

A. T. Tessema, G. A. Alene, and N. M. Wolelaw, “Assessment of risk factors on construction projects in gondar city, Ethiopia,” Heliyon, vol. 8, no. 11, p. e11726, 2022, doi: 10.1016/j.heliyon.2022.e11726.

D. Sihombing, “Development of construction project cost budget application using rapid application development method,” Online, 2023.

A. Awad and A. R. Fayek, “A decision support system for contractor prequalification for surety bonding,” Automation in Construction, vol. 21, no. 1. Elsevier B.V., pp. 89–98, 2012. doi: 10.1016/j.autcon.2011.05.017.

M. Hamidah et al., “Development of a protocol for Malaysian Important Plant Areas criterion weights using Multi-criteria Decision Making - Analytical Hierarchy Process (MCDM-AHP),” Glob Ecol Conserv, vol. 34, no. January, p. e02033, 2022, doi: 10.1016/j.gecco.2022.e02033.

H. Aulawi, F. Nuraeni, R. Setiawan, W. F. Rianto, A. Surya Pratama, and H. Maulana, “Simple Additive Weighting in the Development of a Decision Support System for the Selection of House Construction Project Teams,” in 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), 2023, pp. 517–522. doi: 10.1109/ICCoSITE57641.2023.10127813.

C. Zhang, M. Hu, F. Di Maio, B. Sprecher, X. Yang, and A. Tukker, “An overview of the waste hierarchy framework for analyzing the circularity in construction and demolition waste management in Europe,” Science of the Total Environment, vol. 803. Elsevier B.V., Jan. 10, 2022. doi: 10.1016/j.scitotenv.2021.149892.

S. Saad, W. S. Alaloul, S. Ammad, M. Altaf, and A. H. Qureshi, “Identification of critical success factors for the adoption of Industrialized Building System (IBS) in Malaysian construction industry,” Ain Shams Engineering Journal, vol. 13, no. 2, p. 101547, 2022, doi: 10.1016/j.asej.2021.06.031.

A. Akhtar, B. Bakhtawar, and S. Akhtar, “EXTREME PROGRAMMING VS SCRUM: A COMPARISON OF AGILE MODELS,” International Journal of Technology, Innovation and Management (IJTIM), vol. 2, p. 2022, doi: 10.54489/ijtim.v2i1.77.

D. J. C. Sihombing, “Analysis and development of the ProTrack application: construction timeline management using Extreme Programming Methodology,” Online, 2023.

J. Chen, T. Yu, L. Yin, J. Tang, and H. Wang, “A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming,” CSEE Journal of Power and Energy Systems, vol. 6, no. 3, pp. 583–590, Sep. 2020, doi: 10.17775/CSEEJPES.2019.00100.

T. Dingsøyr, S. Nerur, V. Balijepally, and N. B. Moe, “A decade of agile methodologies: Towards explaining agile software development,” Journal of Systems and Software, vol. 85, no. 6. 2012. doi: 10.1016/j.jss.2012.02.033.

P. Serrador and J. K. Pinto, “Does Agile work? - A quantitative analysis of agile project success,” International Journal of Project Management, vol. 33, no. 5, 2015, doi: 10.1016/j.ijproman.2015.01.006.

R. Santos et al., “A Comparative Analysis of Agile Teamwork Quality Instruments in Agile Software Development: A Qualitative Approach”, doi: 10.18293/DMSVIVA2023-217.

S. Al-Saqqa, S. Sawalha, and H. Abdelnabi, “Agile software development: Methodologies and trends,” International Journal of Interactive Mobile Technologies, vol. 14, no. 11, 2020, doi: 10.3991/ijim.v14i11.13269.

T. Dingsoeyr, D. Falessi, and K. Power, “Agile Development at Scale: The Next Frontier,” IEEE Software, vol. 36, no. 2. IEEE Computer Society, pp. 30–38, Mar. 01, 2019. doi: 10.1109/MS.2018.2884884.

F. Almeida, J. Simões, and S. Lopes, “Exploring the Benefits of Combining DevOps and Agile,” Future Internet, vol. 14, no. 2, Feb. 2022, doi: 10.3390/fi14020063.

R. Hasan, A.- Ta, and R. Razali, “Prioritizing Requirements in Agile Development : A Conceptual Framework,” Procedia Technology, vol. 11, no. Iceei, pp. 733–739, 2013, doi: 10.1016/j.protcy.2013.12.252.