Abstract

The construction industry is considered as one of the least productive, highest energy consuming, and least digitized industries. The Lean Management (LM) philosophy became a significant way for eliminating non-value-added activities and wastes during a building’s lifecycle. However, studies have shown that philosophies are not efficient by themselves to solve the issues of the construction industry. They need to be supported with the appropriate technologies and tools. Therefore, the integrated use of Building Information Modelling (BIM) with LM or Value Engineering (VE) were proposed in the literature. Nonetheless, it was also seen that BIM can provide more insights and improvements when BIM is integrated with data analysis tools to analyze BIM data. In the literature, the synergies between these concepts are generally addressed pairwise, and there is no comprehensive framework which identifies their relationships. Therefore, this study aims to develop a maturity framework that facilitates the adoption of LM, VE, BIM, and Big Data Analytic (BDA) concepts to address long-standing productivity and digitalization issues in the Architecture, Engineering, and Construction (AEC) industry. Design Science Research (DSR) methodology and its three-cycle view (relevance, rigor, and design cycle) were applied to build the proposed maturity framework. Two interviews were performed to identify and observe research problem in relevance cycle. In the rigor cycle, a comprehensive literature review was performed to create a base for the development of the maturity framework. In addition to the developed base of the framework, lean processes were added to this cycle. In the design cycle, the developed framework was evaluated and validated by five experts through face-to-face interviews. The importance of employer’s requirements to adopt the proposed methodologies, the negative impact of change orders, the importance of pre-construction phases to facilitate value creation and waste elimination, and the usage of common data environment with BIM were identified as the prominent application and adaptation issues.

Highlights

  • The architecture, engineering, and construction (AEC) industry is considered as one of the largest industries in the global economy in terms of its income generation capacity

  • Assessments of experts related to lean processes (LP) of proposed maturity framework are given below:

  • Because the integrated uses of Building Information Modelling (BIM) with lean management (LM), value engineering (VE), or Big Data Analytic (BDA) were addressed in the literature frequently to overcome the productivity and digitalization issues of the AEC industry as pairwise, there is no comprehensive framework which identifies their relationships

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Summary

Introduction

The architecture, engineering, and construction (AEC) industry is considered as one of the largest industries in the global economy in terms of its income generation capacity. The AEC industry is considered as one of the least productive and digitized industries [1]. Increasing demand for construction projects leads to increased competition between the construction companies, which may cause value issues at the end of the project. These chronic problems have been discussed throughout the years and all discussions eventuate with the need for Sustainability 2021, 13, 10029. Sustainability 2021, 13, 10029 change in construction practices.

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