IGLC.net
EXPORT DATE: 19 June 2026

@CONFERENCE{Wiguna2026,
author={Wiguna, I Putu Artama and Adi, Tri Joko Wahyu and Waliulu, Yusroniya Eka Putri Rachman and Prastyo, Satriyo Agus Adi },
editor={Hamzeh, Farook and Poshdar, Mani and Garcia-Lopez,, Nelly P. },
title={A decision-support framework for prioritising lean construction techniques in the planning stage of Indonesian construction projects}, 
journal={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
booktitle={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
year={2026},
pages={533-546},
url={http://www.iglc.net/papers/details/2551},
doi={10.24928/2026/0260},
affiliation={Lecturer, Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, artama.wiguna@gmail.com ; Lecturer, Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Indonesia, trijoko.riset@gmail.com ; Lecturer, Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Indonesia, yusroniya.putri@gmail.com ; Graduate Student, Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, satriyo.prast@gmail.com },
abstract={Lean construction has gained increasing attention as a strategy to enhance project performance; however, its effectiveness is largely determined by decisions made during the planning stage, where workflow reliability and resource efficiency are established. In developing countries such as Indonesia, weak planning practices often lead to material waste, rework, and schedule variability, highlighting the need for structured decision-support in selecting appropriate lean techniques. This study develops a decision-support framework to prioritise critical success factors (CSFs) and lean construction techniques for improving planning reliability and reducing planning-related waste. A two-stage quantitative approach is employed, integrating the Relative Importance Index (RII) and the Analytic Hierarchy Process (AHP). Data are obtained from ten experts with experience in construction planning and lean implementation. The results indicate that managerial readiness—particularly top management commitment, financial transparency, responsibility assignment, and effective use of improvement tools—plays a dominant role. Among the evaluated lean construction techniques, Building Information Modelling (BIM) is identified as the most suitable for the planning stage, followed by the Last Planner System (LPS) and Value Stream Mapping (VSM). The proposed framework provides a structured basis for selecting context-appropriate lean techniques and improving planning reliability while contributing to waste reduction and more sustainable construction practices. },
author_keywords={Lean construction, planning reliability, decision-support framework, construction planning, waste reduction, BIM, last planner system },
address={Singapore, Singapore },
issn={2789-0015 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}