Peter E.D. Love

TL;DR: A novel convolutional neural network (CNN)-based approach that incorporates a deep-learning method to automatically classify the short texts contained within building quality complaints (BQCs) and indicates that the developed CNN-based approach performs well in the Chinese BQC classification with limited manual intervention and few complicated feature engineering.

TL;DR: A wide variety of studies examining the nature of rework have been undertaken since the seminal research of Burati in the early 1990s, which examined quality deviations as discussed by the authors, and it was recognized that rework causes were interdependent; so techniques such as cognitive mapping (CM) and system dynamics (SD) were subsequently introduced to model the complexity and dynamic of this phenomena.

TL;DR: In this article, a case study is used to obtain the experiences from a contractor and their subcontractors involved with constructing the landmark Perth Stadium, which required a building information model (BIM) to construct it.

TL;DR: In this paper, the authors present a long-term commitment model that can support the long existing change process of a strategic alliance in construction, which can stimulate the level of employee and management commitment in order to satisfy the stakeholders.

TL;DR: In this article, a case study is used to demonstrate how simulation modelling can be used to effectively re-engineer manufacturing processes, with results being generated to discover the possibilities of increasing the through-put of the system.