Quantitative assessment of emissions associated with construction projects should be carried out during the planning phase of the projects. This is important to detect and highlight any excesses of residuals during the construction phase. A newly developed framework is proposed to handle...

Site layout planning is a complicated issue due to the existence of a vast number of trades and inter-related planning constraints. In this paper, artificial neural networks are used to model the non-linear operations of a key site facility: a tower crane — for high-rise public housing...

The build-operate-transfer (BOT) project is formulated based upon cooperative partnerships among various public and private parties. Win-win negotiation solutions are especially essential for parties that usually have conflicts of interests. A simulation-based multi-objective genetic algorithm...

In earthmoving operations, there are a number of activities that need to be considered; for example, path identification, plant selection, assessing the compatibility of the paths and the plants so selected, cost and productivity comparison of alternatives, safety and environmental considerations,...

Reliable construction schedules are important for effective co-ordination across the supply chain and various trades at the construction work face. Reliability of construction schedules can be enhanced and improved through satisfying all potential constraints prior to execution on site....

Resources for construction activities are limited in the real construction world. To avoid waste and shortage of resources on a construction jobsite, scheduling must include resource allocation. A new resourceconstrained construction scheduling system is proposed in this paper. A GA-based...

Resources for construction activities are limited in the real construction world so that scheduling must include resource allocation. Furthermore, activity duration is uncertain due to the variation in the outside environment, such as resource availabilities, weather, space congestion, etc. A...

This paper presents a methodology for simulation optimization utilizing genetic algorithms and applies it to a newly developed simulation-based system for estimating the time and cost of earthmoving operations. The genetic algorithm searches for a near-optimum fleet configuration that reduces...

In recent years, forecasting demand for residential construction in Singapore has become more vital, since it is widely perceived that the next trough of the real estate cycle is approaching. This paper evaluates the use of a combination of neural networks (NNs) and genetic algorithms (GAs) to...

The construction project is subject to several risks, one of the most important of which is contractor default because contractor default may increase the final project cost considerably. In the US construction industry, owners commonly shield themselves from the risk of contractor default by...