There has been a wealth of research that has examined the nature of rework in construction.Progress toward addressing the rework problem has been limited-it still plagues practice,adversely impacting a project’s perf...There has been a wealth of research that has examined the nature of rework in construction.Progress toward addressing the rework problem has been limited-it still plagues practice,adversely impacting a project’s performance.Almost all rework studies have focused on determining its proximal or root causes and therefore have overlooked the conditions that result from its manifestation.In filling this void,this paper draws upon our previous empirical studies,amongst others,to provide a much-needed theoretical framing to understand better why rework occurs,what its consequences are,and how it can be mitigated during construction.The theoretical framing we derive from our review provides construction organizations and their projects with a realization that the journey to mitigating rework begins with creating an error-mastery culture comprising authentic leadership,psychological safety,an errormanagement orientation,and resilience.We suggest that,once an error-mastery culture is established within construction organizations and their projects,they will be better positioned to realize the benefits of the techniques,tools,and technologies espoused to address rework,such as the Last Planner® and building information modeling.We also provide directions for future research and identify implications for practice so that strides toward rework mitigation in construction can be made.展开更多
1.Introduction While the applications of computer visions are varied in construction,research has tended to focus on measuring the accuracy of object detectors such as faster region-based-convolution neural networks(F...1.Introduction While the applications of computer visions are varied in construction,research has tended to focus on measuring the accuracy of object detectors such as faster region-based-convolution neural networks(Faster R-CNN)and single shot detector algorithms(SDD)[1].Limited,if any,attention has focused on determining the benefits of such technology in construction beyond the claims that it can help detect problems quickly and accurately.Reinforcing this point are the numerous review papers that have frequented the literature[2,3].展开更多
During the coronavirus disease 2019 (COVID-19) emergency, many hospitals were built or renovated around the world to meet the challenges posed by the rising number of infected cases. Environmental management in the ho...During the coronavirus disease 2019 (COVID-19) emergency, many hospitals were built or renovated around the world to meet the challenges posed by the rising number of infected cases. Environmental management in the hospital life cycle is vital in preventing nosocomial infection and includes many infection control procedures. In certain urgent situations, a hospital must be completed quickly, and work process approval and supervision must therefore be accelerated. Thus, many works cannot be checked in detail. This results in a lack of work liability control and increases the difficulty of ensuring the fulfillment of key infection prevention measures. This study investigates how blockchain technology can transform the work quality inspection workflow to assist in nosocomial infection control under a fast delivery requirement. A blockchain-based life-cycle environmental management framework is proposed to track the fulfillment of crucial infection control measures in the design, construction, and operation stages of hospitals. The proposed framework allows for work quality checking after the work is completed, when some work cannot be checked on time. Illustrative use cases are selected to demonstrate the capabilities of the developed solution. This study provides new insights into applying blockchain technology to address the challenge of environmental management brought by rapid delivery requirements.展开更多
基金financial support of the Australian Research Council (DP210101281)。
文摘There has been a wealth of research that has examined the nature of rework in construction.Progress toward addressing the rework problem has been limited-it still plagues practice,adversely impacting a project’s performance.Almost all rework studies have focused on determining its proximal or root causes and therefore have overlooked the conditions that result from its manifestation.In filling this void,this paper draws upon our previous empirical studies,amongst others,to provide a much-needed theoretical framing to understand better why rework occurs,what its consequences are,and how it can be mitigated during construction.The theoretical framing we derive from our review provides construction organizations and their projects with a realization that the journey to mitigating rework begins with creating an error-mastery culture comprising authentic leadership,psychological safety,an errormanagement orientation,and resilience.We suggest that,once an error-mastery culture is established within construction organizations and their projects,they will be better positioned to realize the benefits of the techniques,tools,and technologies espoused to address rework,such as the Last Planner® and building information modeling.We also provide directions for future research and identify implications for practice so that strides toward rework mitigation in construction can be made.
基金financial support of the Alexander von Humboldt-Stiftungthe National Natural Science Foundation of China(U21A20151)。
文摘1.Introduction While the applications of computer visions are varied in construction,research has tended to focus on measuring the accuracy of object detectors such as faster region-based-convolution neural networks(Faster R-CNN)and single shot detector algorithms(SDD)[1].Limited,if any,attention has focused on determining the benefits of such technology in construction beyond the claims that it can help detect problems quickly and accurately.Reinforcing this point are the numerous review papers that have frequented the literature[2,3].
基金supported by the National Natural Science Foundation of China(71732001,51878311,72271106,U21A20151,and 71821001)Engineering Fronts Project(2021-HYZD-5-13)+1 种基金Major Science&Technology Project of Hubei(2020ACA006)China Scholarship Council(202006160115).
文摘During the coronavirus disease 2019 (COVID-19) emergency, many hospitals were built or renovated around the world to meet the challenges posed by the rising number of infected cases. Environmental management in the hospital life cycle is vital in preventing nosocomial infection and includes many infection control procedures. In certain urgent situations, a hospital must be completed quickly, and work process approval and supervision must therefore be accelerated. Thus, many works cannot be checked in detail. This results in a lack of work liability control and increases the difficulty of ensuring the fulfillment of key infection prevention measures. This study investigates how blockchain technology can transform the work quality inspection workflow to assist in nosocomial infection control under a fast delivery requirement. A blockchain-based life-cycle environmental management framework is proposed to track the fulfillment of crucial infection control measures in the design, construction, and operation stages of hospitals. The proposed framework allows for work quality checking after the work is completed, when some work cannot be checked on time. Illustrative use cases are selected to demonstrate the capabilities of the developed solution. This study provides new insights into applying blockchain technology to address the challenge of environmental management brought by rapid delivery requirements.