Flash floods are widely recognized as one of the most devastating natural hazards in the
world, therefore prediction of flash flood-prone areas is crucial for public safety and …

As today's oil and gas projects are becoming larger and more complex, project managers
are constantly faced with a number of concerns about schedules, budgets, productivity and …

Five hybrid artificial intelligence (AI) approaches based on machine learning (ML) and
metaheuristic algorithms were proposed to predict open stope hangingwall (HW) stability …

Industrial construction is often fast-tracked, with engineering and construction phases
progressing simultaneously. In contrast to projects where detailed engineering information is …

Scaffolds are frequently used in construction projects and significantly impact safety and
productivity. However, in many construction projects, the decisions on scaffolds are often …

Repetitive projects account for a large proportion of construction projects. Different from
standard project scheduling problems, scheduling such projects requires considering both …

Traditional ejector models are focusing on the ejector performance predictions at critical
mode under design conditions. In reality, ejector systems cannot be operated under these …

In this paper, a resource constrained project scheduling problem with hierarchical
alternatives and stochastic activity durations is studied. A stochastic chance constraint is …

The production process of precast components is labor-intensive, involving various manual
tasks. The physically demanding tasks usually result in fatigue and overexertion of workers …

Selecting an appropriate joint venture contractor (JVC) is paramount to the success of large-
scale infrastructure projects. The purpose of this paper is to develop a unified approach for …