A Theoretical Framework Based on a Quantitative Assessment of the Interaction Between Commonly Used Lean Construction Tools and Techniques Through the Project Management Knowledge Areas

A Theoretical Framework Based on a Quantitative Assessment of the Interaction Between Commonly Used Lean Construction Tools and Techniques Through the Project Management Knowledge Areas

2022

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DOI: https://doi.org/10.60164/60d6d6b3c

Authors: Manuel Villanueva, Haiying Ma, Janni Tjell, Gonzalo Ramos, José Turmo

Citation:

Villanueva, M., Ramos, J., Villanueva, M., Ma, H., Tjell, J., Ramos, G., & Turmo, J. (2022). An Implementation of Lean Approach to Achieve Working Time Efficiency in Precast Factory. In Lean Construction Journal pp. 41–61.

Abstract:

Research Question: How do Lean Construction (LC) tools and techniques interact quantitatively with the project management knowledge areas (PMKAs) in construction projects?

Purpose: To provide a theoretical framework to quantify the relationship between LC tools and techniques (LCTTs) with the PMKAs of the PMBOK construction extension guide, since prior investigations were mostly qualitative.

Research Method: The authors performed an exhaustive literature review of 61 international papers from 2010 to 2020, followed by a quantitative analysis.

Findings: The quantitative analysis revealed that some LCTTs improve several of the main PMKAs.

Limitations: The authors have selected papers related to building sector projects with a range of 10 years (from 2010 to 2020). Also, some of the most relevant LCTTs have been selected (6) and their main benefits have been analyzed.

Implications: The use of the proposed framework will enable construction project managers and other professionals to understand the benefits of the interaction between LCTTs through the different PMKAs. From a practical perspective, this study could allow them to select the most suitable LCTTs for each PMKA depending on each particular need.

Keywords: Lean Construction, tools, techniques, PMBOK, Lean Project Management, Agile, Predictive, Hybrid, quantitative analysis.

Paper type: Full paper.