An integrated decision support model for selecting the most feasible crane at heavy construction sites

Han, SangHyeok; Hasan, Shafiul; Bouferguène, Ahmed; Al‐Hussein, Mohamed; Kosa, Joe

doi:10.1016/j.autcon.2017.12.009

Cited by 37 publications

(21 citation statements)

References 24 publications

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“…Han et al [25] proposed a decision support system for selecting the best matching cranes in the heavy civil industry making use of 3D simulations. Li et al [26] made use of mathematical algorithms to optimize crane positions and material supply drop-off points for trucks in high-rise constructions, also taking into account BIM models.…”

Section: Related Workmentioning

confidence: 99%

Pushing Digital Automation of Configure-to-Order Services in Small and Medium Enterprises of the Construction Equipment Industry: A Design Science Research Approach

et al. 2019

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In order to efficiently transform business processes (such as product design, product engineering, production, logistics, sales, deliveries, etc.) into digitally automated processes, new concepts have been introduced in both the manufacturing and construction industries. Under the term Industry 4.0, promising possibilities for high-performance production processes are emerging based on e.g., digital twins and cyber-physical systems. However, the construction industry lags behind in adapting these ideas, and is still facing severe productivity deficits. This paper addresses these deficits by assessing the hypothesis of Building Information Modeling—as the digital twinning methodology in construction—representing a key driver for digital automation and thus enabling more productive processes. To this end, we apply a design science research approach to develop artefacts using computational methods for the automation of business processes in a configure-to-order industry partner. The evaluation is done in the context of a pilot project together with this industry partner. The findings obtained in the pilot project revealed time savings in the phases of bid estimation and work preparation. Based on the findings, the applicability and utility of the suggested approach are discussed and allow for the conclusion that Building Information Model data can usefully streamline and automate many processes at the interface between design and production, if structured and preprocessed purposefully.

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Section: Related Workmentioning

confidence: 99%

Pushing Digital Automation of Configure-to-Order Services in Small and Medium Enterprises of the Construction Equipment Industry: A Design Science Research Approach

et al. 2019

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“…Offsite construction automation, production simulation and visualisation: this cluster covers new solutions being developed through design automation, onsite-production simulation and visualisation (Olearczyk et al ., 2009, Liao and Teo, 2019. From 2013 research includes plant selection, especially craneage, and related onsite optimisation (Olearczyk et al ., 2012, Olearczyk et al ., 2014, Han et al ., 2018. Decision-making support and optimisation for offsite construction have been examined in relation to scheduling (Moghadam et al ., 2011, Liu et al ., 2014, Liu et al ., 2015, risk management (Vernay et al ., 2013), resource management (Moghadam and Al-Hussein, 2013) and productivity optimisation (Afifi et al ., 2016).…”

Section: International Researchmentioning

confidence: 99%

Long-standing themes and new developments in offsite construction: the case of UK housing

Zhang

Zhou

Tahmasebi

et al. 2019

Proceedings of the Institution of Civil Engineers - Civil Engin

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“…The development of this framework has been adopted from previous literature concerned with decision making in construction in terms of developing a decision-making framework [9,30], criteria [24], or the usage of timber construction [41]. The framework is validated via real case studies and interviews with experts in the field of off-site construction and roof stacking.…”

Section: Framework Overviewmentioning

confidence: 99%

“…This interest is reflected by the exponential number of off-site construction-based projects worldwide and the conducted studies in the same field of research that aims to evaluate prefabrication methods' impact within the building industry and on environment [5][6][7]. Those studies were extended to include the development of tools and decision support frameworks to optimize the modular configurations and the selection of cranes, building materials and connections [8,9].…”

Section: Introductionmentioning

confidence: 99%

Conceptual framework for off-site roof stacking construction

Amer

Mustafà

Attia

2019

Journal of Building Engineering

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A B S T R A C TA great deal of interest in off-site construction has been remarkable over the last decade. However, building on the rooftops of existing building has not been given a significant importance as a subject of research, despite its dependence on off-site construction and prefabrication. Thus, this paper develops a novel conceptual framework to support a multidisciplinary decision making for selecting off-site prefabricated constructional system for roof stacking. The multidisciplinary approach includes each of safety, logistics, cost, time, environmental impact, and quality of construction as major criteria in the decision making process. This paper is the outcome of an exhaustive investigation of more than 136 roof stacking projects built during the last 20 years. The development of framework is supported by a feedback validation loop based on semi-structured interviews with experts in the field of roof stacking and off-site construction.

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An integrated decision support model for selecting the most feasible crane at heavy construction sites

Cited by 37 publications

References 24 publications

Pushing Digital Automation of Configure-to-Order Services in Small and Medium Enterprises of the Construction Equipment Industry: A Design Science Research Approach

Pushing Digital Automation of Configure-to-Order Services in Small and Medium Enterprises of the Construction Equipment Industry: A Design Science Research Approach

Long-standing themes and new developments in offsite construction: the case of UK housing

Conceptual framework for off-site roof stacking construction

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