Details

Autor(en) / Beteiligte

• Bagheri, S. Marzieh
• Taghaddos, Hosein
• Mousaei, Ali
• Shahnavaz, Farid
• Hermann, Ulrich

Titel

An A-Star algorithm for semi-optimization of crane location and configuration in modular construction

Ist Teil von

• Automation in construction, 2021-01, Vol.121, p.103447, Article 103447

Ort / Verlag

Amsterdam: Elsevier B.V

Erscheinungsjahr

2021

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• Nowadays, the use of heavy mobile cranes in on-site construction of industrial projects has become inevitable. Due to the high rental cost of such cranes, an optimized plan is essential for the multiple crane lifts. This plan reduces the operating costs of the crane by minimizing waste time and lessens the potential of failures and accidents. However, developing an efficient lift plan can be challenging and time-consuming, considering the large number of lift options. This article presents a novel framework based on an informed search algorithm called A-star, which provides a semi-optimum lift plan based on a predetermined lifting sequence. This system talks to a comprehensive database to provide initial data. The proposed framework is applied successfully and validated in an actual modular construction project in Alberta, Canada. The results show a significant reduction in the total cost compared with the previously used lift planning algorithm. •The proposed system provides an automated, efficient lift plan in modular construction.•The plan schedules tasks of a mobile crane based on a predetermined lifting sequence.•The A-star algorithm is utilized to provide a semi-optimum multiple heavy lift plan.•The system minimizes the total lifting cost by choosing the optimum lift options.•The system reduces cost and enhances safety comparing to the traditional lift plans.