Abstract— Earthmoving operations and highway construction commonly entails extensive utilization of heavy construction equipment. Various factors affect directly and indirectly the efficient utilization of equipment and subsequently can lead to productivity decline in earthmoving operations. Efficient utilization of equipment is considered a crucial element towards the success of earthmoving project. This paper utilizes questionnaire-based method to investigate the factors that affect efficient utilization of hauling equipment including; fuel consumption, hauling and access roads conditions, labor, and soil properties. The paper presents a fuzzy-set based evaluation framework that is used for assessment and prioritization of the factors being considered. Output of the proposed framework provides early warning that highlights the underlying issues related to the efficient utilization of hauling equipment in earthmoving operations. This early warning is expected to assist owners and contractors to take proactive decisions instead of reactive ones in a manner that maximizes the efficient utilization of equipment. Finally, conclusions are drawn highlighting best practice recommendations that may assist owners and contractors not only in avoiding productivity losses, but also in efficient delivery of earthmoving projects.
— Earthmoving, hauling equipment, fuzzy set theory, highway construction, productivity assessment.
A. Salem, A. Salah, and O. Moselhi are with the Department of Building Civil and Environmental Engineering, Concordia University Montreal, Canada (Corresponding author: A. Salem; tel.: 438-402-2367; e-mail: email@example.com, firstname.lastname@example.org, Moselhi@encs.concordia.ca).
M. Ibrahim is with the Department of Civil and Environmental Engineering at University of Waterloo, ON, Canada (e-mail: email@example.com).
Cite: A. Salem, A. Salah, M. Ibrahim, and O. Moselhi, " Study of Factors Influencing Productivity of Hauling Equipment in Earthmoving Projects using Fuzzy Set Theory," International Journal of Innovation, Management and Technology vol. 8, no. 2, pp. 151-154, 2017.