Benefits Realization Management of Computer Vision in Construction:A Missed,Yet Not Lost,Opportunity

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].

Making Sense of Hospital Project MisPerformance: Over Budget, Late, Time and Time Again—Why? And What Can Be Done About It?

Hospital projects worldwide often experience misperformance,showing a tendency to exceed their estimated cost,miss their deadline,suffer quality problems,and yield benefit shortfalls.Considering this ubiquitous problem,this paper aims to make sense of this phenomenon by addressing the following research question:How can we make sense of hospital project misperformance,and what can be done to mitigate its occurrence?We use an illustrative case study approach and the analytical lens of sense-making to examine the misperformance of three mega-hospital projects.Our research reveals issues such as scope changes,an inability to adapt and respond to risk and uncertainty,ineffectual project management and governance,and optimism bias,which combine to impact project performance adversely.We suggest that the two prominent theoretical perspectives dominating the literature in this field fall short of adequately explaining hospital project misperformance.We provide suggestions for improving the procurement process of hospitals and submit there is a need to develop a robust and balanced theory of project misperformance.

State of Science:Why Does Rework Occur in Construction?What Are Its Consequences?And What Can be Done to Mitigate Its Occurrence?

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.

Systems thinking in construction:Improving the productivity and performance of infrastructure projects

"Systems thinking is a discipline for seeing wholes. It is a framework for seeing interrelationships rather than things,for seeing patterns of change, rather than static snapshots"(Peter Senge).Investment in infrastructure is required to meet the growing needs of an increasing population, as well as to

Model server enabled management of collaborative changes in building information models

The issues and challenges involved in controlling the collaborative changes in a Building Information Modeling(BIM) data repository, in a multi-model collaboration environment, are discussed. It is suggested that managing iterative changes in BIMs is a database problem, exacerbated by the long transaction times needed to support collaborative design progression. This is yet to be resolved in the construction industry and better solutions are needed to support the underlying workflows and computing operations for seamless collaboration on BIMs. With this in mind, this paper proposes the use of the structural and semantic characteristics of BIM objects as a mechanism for tracking changes across co-developed solutions. The creation of object signatures, using hash codes derived from their characteristics, provides a potential mechanism for object comparison and effective change recognition and management.

Future-proofing ‘Next Generation’ infrastructure assets

Infrastructure remains the backbone of an economy. The G20s Global Infrastructure Hub forecasts a need of more than US$4 trillion for infrastructure funding in the world by 2040 (Jessop, 2017). Yet, paradoxically, the poor performance of infrastructure projects and their lack of resilience and adaptability seem to have become the norm.The reasons for such a record of poor performance