Mechanization in building construction projects: assessment and views from the practitioners

Hwang, Bon‐Gang; Shan, Ming; Ong, Jaime J. M.; Krishnankutty, Pramesh

doi:10.1080/09537287.2019.1667547

Cited by 7 publications

(15 citation statements)

References 51 publications

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“…Either way, both approaches end their analysis at the center of the pyramid (project and tasks), to diagnose, for example, the impact factors of productivity and to measure and develop on-site productivity metrics. increase its performance through tasks' mechanization [103]. Hwang et al [103] developed a method to assess the level of mechanization in building construction projects containing five processes:…”

Section: Craft-workforce-centered Methodsmentioning

confidence: 99%

“…As an example: Area, activity and, task [99]; project, division, activity, task, elemental motion, orthopedics and, cell [100]; project, division, activity, basic task and, elemental motion [101] and; activity, task, action and, movement [102]. Throughout times, the CI seeks to increase its performance through tasks' mechanization [103]. Hwang et al [103] developed a method to assess the level of mechanization in building construction projects containing five processes:…”

Section: Productivity Assessment In the Construction Industrymentioning

confidence: 99%

“…Throughout times, the CI seeks to increase its performance through tasks' mechanization [103]. Hwang et al [103] developed a method to assess the level of mechanization in building construction projects containing five processes:…”

Section: Productivity Assessment In the Construction Industrymentioning

confidence: 99%

“…This paper proposes mixing work elements and basic motion elements to enable the mapping process of all construction tasks, providing an adequate process to increase on-site production. The proposed production process modelling will allow the measurement of the amount of service performed (by hand or mechanized) in a similar method as recommended by Hwang et al [103]. Likewise, assesses the unproductive and time spent in auxiliary activities.…”

Section: Motion Productivitymentioning

confidence: 99%

“…Based on the following assumptions and the designed flow, Table 5 presents the first analysis indications on how to boost efficiency and mechanization levels. According to Hwang et al [103], there is no academic research on the assessment of mechanization in building construction projects. Hwang et al [103] proposed a mechanization index assessment tool for projects based on a detailed analysis of the tools and measuring the level value regarding a qualitative survey.…”

mentioning

confidence: 99%

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The digitalization of the construction industry (CI) has the aim—among others—to raise the bar of overall productivity. The craft workforce is very relevant on the overall value-chain. Therefore, a boost in this dimension impacts the entire sector. There is a gap in proper methodologies to measure and model productivity. Construction 4.0 novelties provide new approaches for its evaluation and progress. This communication presents a review of workforce productivity assessment and delivers methods focusing primarily on craft workers motion monitoring. Products and services opportunities from Construction 4.0 in the spectrum of craft workforce management include support by embedded sensors for data collection that allow near real-time monitoring. The work developed led to the systematization of a framework to standardize craft workers’ motion productivity. The craft workforce motion productivity framework, Worker 4.0, tenders nine processes integrated on a flowchart to streamline task processes assessment and mechanization level. It also sets up a two-handed/two-legged chart system to model craft workers’ activities and operations. The contributions to the body of knowledge are substantiated on the framework creation with the ability to model and assess craft workforce performance. This approach is meant to serve as base point for different stakeholders focusing on skills, efficiency, mechanization and productivity improvements.

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Section: Craft-workforce-centered Methodsmentioning

confidence: 99%