Building information modelling, lean and sustainability: An integration framework to promote performance improvements in the construction industry

Mellado, Felipe; Lou, Eric

doi:10.1016/j.scs.2020.102355

Cited by 96 publications

(54 citation statements)

References 113 publications

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“…The successful application of lean techniques, including JIT, contributes to the social sustainability of the built environment ( Mellado and Lou, 2020 ). For instance, factors such as CF18 “site layout planning” and CF20 “standardization of activities” help in providing a safe working environment ( Sanad et al, 2008 ).…”

Section: Discussionmentioning

confidence: 99%

Critical factors for successful implementation of just-in-time concept in modular integrated construction: A systematic review and meta-analysis

Hussein

Zayed

2021

Journal of Cleaner Production

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Modular integrated construction (MiC) is a revolutionary construction method. However, the logistics management of MiC has always been a major barrier to the wider adoption of MiC. Nonetheless, this challenge can be tackled by the application of lean techniques, namely, just-in-time (JIT). Numerous studies have identified and evaluated the critical factors (CFs) required to implement JIT; however, there is no consensus among the previous studies on these CFs and their level of importance. Therefore, this research, for the first time, provides a systematic review and meta-analysis of these CFs. The systematic review identifies 42 CFs. To further provide a synthesis analysis of previous studies, a meta-analysis approach is used. This analysis is conducted on the identified CFs to evaluate their importance level and hence rank them. The results indicate that all the 42 CFs are important for applying JIT, of which seven are highly significant for successfully implementing JIT in MiC. Although the ranking obtained by meta-analysis is much more reliable than that provided in the individual studies, however, there is still a high heterogeneity in the results, which depicts the uncertain nature of the construction field. Therefore, sub-group analysis is conducted to investigate this heterogeneity and uncover the hidden patterns in the literature. This is achieved by studying the influence of predictive factors (moderators) on the importance level of CFs. This analysis shows that the economy of a country and the type of project executed are influential factors. The results further indicate that developing economies, in contrast to advanced economies, should pay more attention to three CFs. Also, the results show that seven CFs are much more important in MiC projects than the other project types. This research work is highly beneficial for theory development and for practitioners by identification of significant CFs that warrant management dedication to best apply JIT. Researchers, in particular, can consider the recommendations given here for implementing future meta-analysis studies.

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Section: Discussionmentioning

confidence: 99%

Critical factors for successful implementation of just-in-time concept in modular integrated construction: A systematic review and meta-analysis

Hussein

Zayed

2021

Journal of Cleaner Production

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“…In this cycle, artifacts representing the synergies among LM-VE, LM-BIM, VE-BIM, BIM-BDA, LM-BDA, VE-BDA, and BIM-BDA have been investigated with an in-depth literature review. A literature review that sets a base for the rigor cycle shows that used concepts are generally greater in numbers in the field of LM-BIM integration [15,[30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48]. BIM features are employed for more than only the visualization aspect of lean construction.…”

Section: Rigor Cycle (Rigc)mentioning

confidence: 99%

Lean Based Maturity Framework Integrating Value, BIM and Big Data Analytics: Evidence from AEC Industry

et al. 2021

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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.

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“…e general contractors and the subcontractors usually have a mistrustful and conflicting relationship [8]. Lack of collaboration and communication remains one of the main reasons for construction project failure [9]. Poor collaboration between stakeholders is still among the primary risks affecting the performance of OSC [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Just‐in‐Time Component Delivery Framework for Off‐Site Construction

Lei

et al. 2021

Advances in Civil Engineering

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Off-site construction entails various advantages compared with the traditional construction method; however, the fragmentation of the prefabrication and assembly results in a complex supply chain. Both general contractors and factories often encounter production deviation, making the original component delivery plan nonoptimal. Traditionally, both parties tend to rely on internal resources or third-party resources to manage schedule changes, paying little attention to the optimisation of the component delivery process. The static compensation mechanisms reported in existing literature require factories to manage demand fluctuations but fail to encourage general contractors to control schedule deviations. Therefore, a dynamic compensation mechanism is proposed to achieve just-in-time component delivery, with which a factory shares possible changes for each component’s delivery date to its clients on an inverse Kanban system. First, unfavourable changes for the factory schedule are allocated with surcharges, and the general contractor should compensate the factory if it accepts the date changes; secondly, schedule changes that are beneficial for the factory are assigned as incentives, and the general contractor receives the factory’s incentive upon agreeing to the changes. Based on these two scenarios, genetic algorithm-based optimisation models are developed to achieve optimal delivery planning solutions. General contractors can obtain an optimal component delivery date to reduce the additional cost when they have changed the assembly schedule. General contractors can also optimise their component delivery schedule to trade their duration flexibility for incentives offered by factories. The models can help both parties to reduce component delivery waste when either side has the motivation to change the original component delivery schedules.

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Building information modelling, lean and sustainability: An integration framework to promote performance improvements in the construction industry

Cited by 96 publications

References 113 publications

Critical factors for successful implementation of just-in-time concept in modular integrated construction: A systematic review and meta-analysis

Critical factors for successful implementation of just-in-time concept in modular integrated construction: A systematic review and meta-analysis

Lean Based Maturity Framework Integrating Value, BIM and Big Data Analytics: Evidence from AEC Industry

A Dynamic Just‐in‐Time Component Delivery Framework for Off‐Site Construction

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