ORCID Profile
0000-0003-0003-2478
Current Organisation
University of Melbourne
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 05-2023
Publisher: Elsevier BV
Date: 04-2021
Publisher: MDPI AG
Date: 16-09-2022
DOI: 10.3390/BUILDINGS12091472
Abstract: Project managers should balance a variety of resource elements in building projects while taking into account many major concerns, including time, cost, quality, risk, and the environment. This study presents a framework for resource trade-offs in project scheduling based on the Building Information Modeling (BIM) methodology and metaheuristic algorithms. First, a new metaheuristic algorithm called Fire Hawk Optimizer (FHO) is used. Using project management software and the BIM process, a 3D model of the construction is created. In order to maximize quality while minimizing time, cost, risk, and CO2 in the project under consideration, an optimization problem is created, and the FHO’s capability for solving it is assessed. The results show that the FHO algorithm is capable of producing competitive and exceptional outcomes when it comes to the trade-off of various resource options in projects.
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 11-2021
Publisher: Emerald
Date: 20-06-2023
DOI: 10.1108/IJMPB-01-2023-0002
Abstract: Effective project learning can prevent projects from repeating the same mistakes however, knowledge codification is required for project-to-project learning to be up-scaled across the temporal, geographical and organisational barriers that constrain personalised learning. This paper explores the state of practice for the structuring of codified project learnings as concrete boundary objects with the capacity to enable externalised project-to-project learning across complex boundaries. Cross-domain reconceptualisation is proposed to enable further research and support the future development of standardised recommendations for boundary objects that can enable project-to-project learning at scale. An integrative literature review method has been applied, considering knowledge, project learning and boundary object scholarship as state-of-practice sources. It is found that the extensive body of boundary object literature developed over the last three decades has not yet examined the internal structural characteristics of concrete boundary objects for project-to-project learning and boundary-spanning capacity. Through a synthesis of the dispersed structural characteristic recommendations that have been made across examined domains, a reconceptualised schema of 30 discrete characteristics associated with boundary-spanning capacity for project-to-project learning is proposed to support further investigation. This review makes a novel contribution as a first cross-domain examination of the internal structural characteristics of concrete boundary objects for project-to-project learning. The authors provide directions for future research through the reconceptualisation of a novel schema and the identification of important and previously unidentified research gaps.
Publisher: Emerald
Date: 10-07-2023
DOI: 10.1108/SASBE-03-2023-0045
Abstract: Skills development among construction stakeholders has become an increasingly urgent necessity for the successful implementation of Construction 4.0 in recent years. There is a lack of comprehensive analysis on the domain of Construction 4.0 implementation, with a focus on skills development. This study aims to address this gap through the use of the science mapping approach to show the gaps of research domain and propose future directions. This study adopted a three-step holistic review approach, comprising bibliometric review, scientometric analysis, and qualitative discussion, to obtain a comprehensive overview of research in the field of Construction 4.0 skills development. f on a total of 57 articles published in three databases, the influential sources, keywords, scholars, and articles in the domain were analysed. A follow-up discussion aimed to identify main-stream research topics, research gaps, and future research directions. Findings discovered that the topics were concerned about Construction 4.0 whilst skills development aspect was lacking in creation of policies, frameworks, strategies in different contexts. The study revealed research gaps such as presence of skills gaps and shortages in some countries, the lack of frameworks and roadmaps for successful Construction 4.0 implementation, and the lack of readiness assessments from professional, company and industry viewpoints. This study contributes to the knowledge in the domain of Construction 4.0 and the contribution of skills development for its implementation and a comprehensive overview with research gaps and future research directions in the domain.
Publisher: MDPI AG
Date: 22-09-2022
DOI: 10.3390/BUILDINGS12101503
Abstract: The present study uses a bibliometric and systematic literature review (SLR) to examine the use of Building Information Modeling (BIM), the Internet of Things (IoT), and Digital Twins (DT) in the construction industry. The network visualization and other approaches based on the Web of Science (WOS) database and the patterns of research interactions were explored in 1879 academic publications using co-occurrence and co-citation investigations. Significant publications, conferences, influential authors, countries, organizations, and funding agencies have been recognized. Our study demonstrates that BIM, IoT, and DT in construction, Heritage BIM (HBIM), Smart Contracts, BIM, and Ontology, and VR and AR in BIM and DT are the main study themes. Finally, several prospective areas for future study are identified, including BIM and Metaverse technology, BIM and Artificial Intelligence (AI), Metaheuristic algorithms for optimization purposes in BIM, and the Circular Economy with BIM and IoT.
Publisher: Elsevier BV
Date: 03-2014
Publisher: MDPI AG
Date: 29-08-2023
DOI: 10.3390/SU151713022
Abstract: A business model represents an organisation’s value logic with a value proposition as the central dimension. The construction industry has been categorised as fragmented, slow to move and destructively competitive, idealising only cost-based perceptions of performance however, recent trends indicate a paradigm shift in the sector emphasising value-based perspectives such as early engagement, design for manufacture and assembly, and a lifecycle approach by promoting a conscious discourse on business model innovation. This paper presents a systematic review and integration of research on business models in the construction industry. The findings illuminate the potential of business models as creative tools for strategy formulation, the importance of strategic partnerships in novel business models, and the bridging role that business models play between technology integration and strategy formulation. Based on the findings, the paper proposes future research directions, including understanding how managers can steer conflicts towards cooperative competition (coopetition), exploring various pathways (leaping and drifting) for business model innovation and project-based business model innovation. The paper establishes that using a business model approach to facilitate strategic transformation can help construction firms resolve some of the most pressing challenges, such as customer dissatisfaction, fragmentation, and slow technology uptake.
Publisher: Elsevier BV
Date: 03-2013
Publisher: Elsevier BV
Date: 12-2023
Publisher: Springer Science and Business Media LLC
Date: 04-2023
DOI: 10.1038/S41598-023-32465-Z
Abstract: In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic algorithm inspired by the primary rules of a traditional Korean game. Squid game is a multiplayer game with two primary objectives: attackers aim to complete their goal while teams try to eliminate each other, and it is usually played on large, open fields with no set guidelines for size and dimensions. The playfield for this game is often shaped like a squid and, according to historical context, appears to be around half the size of a standard basketball court. The mathematical model of this algorithm is developed based on a population of solution candidates with a random initialization process in the first stage. The solution candidates are ided into two groups of offensive and defensive players while the offensive player goes among the defensive players to start a fight which is modeled through a random movement toward the defensive players. By considering the winning states of the players of both sides which is calculated based on the objective function, the position updating process is conducted and the new position vectors are produced. To evaluate the effectiveness of the proposed SGO algorithm, 25 unconstrained mathematical test functions with 100 dimensions are used, alongside six other commonly used metaheuristics for comparison. 100 independent optimization runs are conducted for both SGO and the other algorithms with a pre-determined stopping condition to ensure statistical significance of the results. Statistical metrics such as mean, standard deviation, and mean of required objective function evaluations are calculated. To provide a more comprehensive analysis, four prominent statistical tests including the Kolmogorov–Smirnov, Mann–Whitney, and Kruskal–Wallis tests are used. Meanwhile, the ability of the suggested SGOA is assessed through the cutting-edge real-world problems on the newest CEC like CEC 2020, while the SGO demonstrate outstanding performance in dealing with these complex optimization problems. The overall assessment of the SGO indicates that the proposed algorithm can provide competitive and remarkable outcomes in both benchmark and real-world problems.
Publisher: Informa UK Limited
Date: 26-08-2020
Publisher: MDPI AG
Date: 17-08-2022
DOI: 10.20944/PREPRINTS202208.0303.V1
Abstract: Project managers should balance a variety of resource elements in building projects while taking into account many major concerns, including time, cost, quality, risk, and the environment. This study presents a framework for resource trade-offs in project scheduling based on the Building Information Modeling (BIM) methodology and metaheuristic algorithms. First, a new metaheuristic algorithm called Fire Hawk Optimizer (FHO) is used. Using project management software and the BIM process, a 3D model of the construction is created. In order to maximize quality while minimizing time, cost, risk, and CO2 in the project under consideration, an optimization problem is created, and the FHO's capability for solving it is assessed. A predefined stopping condition is taken into account while doing 30 independent optimization runs to obtain the statistical metrics, such as the mean, standard deviation, and the required number of objective function evaluations. The results show that the FHO algorithm is capable of producing competitive and exceptional outcomes when it comes to trade-off various resource options in projects.
Publisher: Elsevier BV
Date: 11-2023
Publisher: Elsevier BV
Date: 09-2019
Publisher: MDPI AG
Date: 06-03-2023
DOI: 10.3390/SMARTCITIES6020040
Abstract: In recent years, applications of Blockchain technology (BCT) have been progressing at a galloping rate in miscellaneous fields, such as finance, education, travel, healthcare, and insurance. However, BCT has gained much popularity in the construction industry, especially in developed nations worldwide, as it can solve real-world problems, including poor payments, inadequate cooperation and collaboration, inappropriate data sharing among stakeholders, and poor efficiency. The current research employs a bibliometric and systematic literature review (SLR) on utilizing BCT in the construction industry. Using co-occurrence and co-citation studies, network visualization and other methodologies concerning the Web of Science (WOS) database and the research contacts’ patterns were investigated in 482 academic papers. Notable publications, conferences, significant writers, nations, organizations, and funding organizations have been acknowledged. Our research reveals that the primary study topics are BCT in the construction industry, supply chain management, smart contracts, sustainability, building information modeling (BIM), the Internet of Things (IoT) and energy efficiency. Several possible fields for further research are mentioned, including the use of BCT in: (i) circular economy, (ii) risk management, (iii) smart villages, and (iv) infrastructure construction projects.
Publisher: MDPI AG
Date: 11-05-2023
DOI: 10.3390/INFRASTRUCTURES8050093
Abstract: Mega projects delivering rail infrastructure are constantly seeking cost-effective and efficient technologies to sustain the growing population. Building information modeling (BIM) and BIM for cost management (5D-BIM) have shown great potential in the building industry and have been adopted widely. However, 5D-BIM implementation in rail infrastructure is still in its infancy. This paper presents a systematic literature review of 380 publications related to cost overrun, cost management and 5D-BIM for rail infrastructure, including rail projects. The review identified knowledge gaps and synthesized existing research on cost overrun in rail projects, cost estimation models, and the current use of 5D-BIM. The review revealed that there is no current study integrating 5D-BIM into the rail project lifecycle. This paper highlights the importance of integrating 5D-BIM systematically in the rail project life cycle to avoid/minimize cost overrun. The review provides researchers and practitioners with crucial information for deploying 5D-BIM to minimize cost overruns in rail projects.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Robert Moehler.