Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66692
Volume:
10 |
8 |
Aug 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Civil Engineering
JJMCOE, Jaysinghpur
Assistant Professor, Civil Engineering,
JJMCOE, Jaysinghpur, Maharastra, India
The construction industry continuously faces challenges related to project delays, material wastage, inventory management, labor inefficiencies, and cost overruns. Lean Construction (LC) and Just-in-Time (JIT) methodologies have emerged as effective approaches to enhance project performance by minimizing non-value-adding activities and improving workflow efficiency. This paper presents a comprehensive review of recent literature on Lean Construction and JIT implementation in construction projects, with particular emphasis on prefabrication, modular construction, Building Information Modeling (BIM), Artificial Intelligence (AI), automation, and digital technologies. A systematic review of recent studies published between 2021 and 2026 was conducted to identify current research trends, implementation strategies, benefits, challenges, and research gaps. The review indicates that integrating Lean principles with JIT delivery, prefabrication, AI-enabled planning, computer vision, digital twins, and Industry 4.0 technologies significantly improves productivity, reduces material waste, shortens project duration, enhances resource utilization, and increases overall project quality. Despite these advancements, several challenges remain, including fragmented supply chains, inadequate integration between JIT and prefabricated construction, limited real-time decision-making capabilities, resistance to organizational change, and the absence of standardized implementation frameworks. The study identifies these research gaps and highlights the need for integrated Lean–JIT frameworks supported by digital technologies for sustainable and efficient construction management. The findings provide valuable insights for researchers, industry practitioners, and policymakers seeking to improve construction project performance through lean-based management strategies and establish directions for future research in smart and sustainable construction.
KEYWORDS
This study investigated the application of Just-in-Time (JIT) material management integrated with prefabricated construction as an effective lean construction strategy for improving project performance. A comprehensive review of the existing literature revealed that lean construction principles, Building Information Modeling (BIM), Internet of Things (IoT), Integrated Project Delivery (IPD), and prefabrication have individually contributed to enhancing construction productivity, reducing waste, and improving sustainability. However, limited research has focused on the combined implementation of JIT material management and prefabricated construction, particularly under Indian construction conditions.The critical analysis demonstrated that JIT significantly reduces inventory levels, storage requirements, material handling, and site congestion by ensuring timely delivery of construction components. Prefabrication complements JIT by enabling off-site manufacturing, improving quality control, reducing on-site labor dependency, minimizing material waste, and accelerating project completion. The integration of these approaches supports lean construction objectives by creating a continuous workflow, improving coordination among stakeholders, and enhancing overall project efficiency. The literature further indicated that although modern technologies such as BIM, IoT, cloud computing, and simulation models have strengthened lean construction practices, their practical implementation remains limited in many developing countries. Existing studies primarily emphasize productivity improvement and waste reduction, while comparatively fewer investigations have comprehensively evaluated inventory optimization, logistics performance, cost efficiency, and schedule improvement through JIT-enabled prefabrication. Furthermore, most previous research is based on conceptual frameworks, literature reviews, questionnaire surveys, or geographically limited case studies, indicating the need for more empirical investigations.Based on the findings of this study, it can be concluded that the successful integration of Just-in-Time material management with prefabricated construction has significant potential to improve construction productivity, reduce project duration, lower inventory and storage costs, minimize material waste, optimize resource utilization, and enhance project quality. The combined implementation also contributes to sustainable construction by reducing unnecessary transportation, minimizing environmental impacts, and improving overall project management efficiency. The present study addresses an important research gap by providing a comprehensive analysis of lean construction techniques and highlighting the benefits of integrating JIT with prefabrication. The findings provide useful guidance for construction managers, project planners, contractors, and policymakers seeking to improve project performance through lean practices. Future research should focus on large-scale field implementation across different construction sectors, quantitative performance assessment using real project data, economic analysis of life-cycle benefits, and integration of emerging technologies such as Artificial Intelligence (AI), Digital Twins, BIM 5D, and advanced IoT systems to further strengthen lean construction practices and support the digital transformation of the construction industry.
1. Lakmal, D. (2014). Managing the challenge of generational diversity in the workplace. SSRN, 1-11. 2. Dixit, S. (2018). Analysing enabling factors affecting on-site productivity in the Indian construction industry. Periodica Polytechnica Architecture, 49(2), 185-193. 3. Aarseth, W., Ahola, T., Aaltonen, K., Økland, A., & Andersen, B. (2017). Project sustainability strategies: A systematic literature review. International Journal of Project Management, 35(6), 1071-1083. 4. Koskela, L., Ballard, G., Howell, G., & Tommelein, I. (2002). The foundations of lean construction. In Design and Construction: Building in Value (pp. 211-226). 5. Sarhan, J., Xia, B., Fawzia, S., Karim, A., & Olanipekun, A. (2018). Barriers to implementing lean construction practices in the Kingdom of Saudi Arabia (KSA) construction industry. Construction Innovation, 18(2), 246-272. 6. Xu, G., Li, M., Chen, C. H., & Wei, Y. (2018). Cloud asset-enabled integrated IoT platform for lean prefabricated construction. Automation in Construction, 93, 123-134. 7. Kahvandi, R., Ravasan, Z., Saghatforoush, E., Zare Ravasan, A., & Mansouri, T. (2018). An FCM-based dynamic modeling of integrated project delivery implementation challenges in construction projects. Lean Construction Journal, 87, 63-87. 8. Banawi, A., & Bilec, M. M. (2014). A framework to improve construction processes: Integrating lean, green, and six sigma. International Journal of Construction Management, 14(1), 45-55. 9. Bertelsen, S. (2004). Lean construction: Where are we and how to proceed?. Lean Construction Journal, 1(October), 46-69. 10. Li, X., Shen, G. Q., Wu, P., Fan, H., Wu, H., & Teng, Y. (2017). RBL-PHP: Simulation of lean construction and information technologies for prefabrication housing production. Journal of Management in Engineering, 34(2), 04017053.
Publication Date
8/13/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...