3D-Modeling for Crane Selection and Logistics for Modular Construction On-Site Assembly

Abstract

Adequate crane position on construction site required large amount of site data to be collected, prior to any lift operation. Existed permanent/ non-permanent obstructions as well as objects being placed on their final position, must be considered for each lift. This paper presents a methodology for crane selection and on-site utilization evolutionary algorithm for multi-lifts for modular construction. The proposed methodology accounts for cranes capacity limitation as well as evaluates the crane carrier/body position and orientation. State-of-the-art methodology incorporate evolutionary algorithm that reacts to dynamic changing site conditions. This paper introduces a case study where the objectives were to simplify and optimize the field assembly operation for 5-three-storey dormitory buildings including bridges and large roofs in McGregor Village for Muhlenberg College in Allentown, Pennsylvania, USA. Each dormitory contains three types of modules and a total of 18 separate modular units. Fully habitable elements were delivered securely on flatbed trailers to the site in advance. An all-terrain mobile hydraulic crane placed in the center of construction site lift each module and placed like a puzzle floor by floor for each building at predefined position. All 100 lifts were conducted in only 10 working days.

A study of literature in modular integrated construction - Critical review and future directions

“…Conventional construction operations are different from construction operations in MiC, as MiC relies on crane operations. Olearczyk et al (2012) developed a method for crane selection and utilization for multi-lifts using algorithms that could adapt and react to dynamic site conditions. The method required inputs from the crane and restrictions or conditions of the lifting process.…”

Long-standing themes and new developments in offsite construction: the case of UK housing

“…Offsite construction automation, production simulation and visualisation: this cluster covers new solutions being developed through design automation, onsite-production simulation and visualisation (Olearczyk et al ., 2009, Liao and Teo, 2019. From 2013 research includes plant selection, especially craneage, and related onsite optimisation (Olearczyk et al ., 2012, Olearczyk et al ., 2014, Han et al ., 2018. Decision-making support and optimisation for offsite construction have been examined in relation to scheduling (Moghadam et al ., 2011, Liu et al ., 2014, Liu et al ., 2015, risk management (Vernay et al ., 2013), resource management (Moghadam and Al-Hussein, 2013) and productivity optimisation (Afifi et al ., 2016).…”

A Framework for Crane Selection in Large-Scale Industrial Construction Projects

“…An optimization model has been proposed for selecting the tower crane and material supply locations for high-rise building sites using mixed-integer linear programming (Huang, Wong, & Tam, 2011). Other crane and location selection-related works include Kang and Miranda (2006); Safouhi, Mouattamid, Hermann, and Hendi (2011);and Olearczyk, Al-Hussein, Bouferguène, and Telyas (2012). Meanwhile, apart from the crane type and location selections, practitioners have been developing useful tools or algorithms to assist with crane lift planning from other perspectives: crane path planning (Sivakumar, Varghese, & Babu, 2003;Chang, Hung, & Kang, 2012;Lei, Taghaddos, Hermann, & Al-Hussein, 2013); crane lift sequencing (Hermann, Hendi, Olearczyk, & Al-Hussein, 2010;Taghaddos, AbouRizk, Mohamed, & Hermann, 2012); and the environmental impact of on-site crane operations (Hasan, Bouferguène, Al-Hussein, Gillis, & Telyas, 2013).…”