The results are also compared with the previously developed lift planning algorithms, showing a remarkable reduction in the project’s total cost. Drawing crane projects with pen and paper and long time searching on load chart tables was yesterdays.Now you can planning crane jobs easiest with kranXpert. The suggested framework is validated successfully in an actual modular construction project in Alberta, Canada. This study contributes to the body of knowledge by proposing an enhanced graph-based optimization algorithm for multiple concurrent heavy lift operations. Dijkstra’s search algorithm is utilized in the current study to select each module’s optimum lift option. This paper introduces an integrated framework to automatically generate an optimum lift plan based on a predetermined lifting sequence. Despite numerous efforts in this area, there is still room for improvement to enhance the optimality of solutions, which leads to considerable cost reduction. However, choosing among a large number of available lift options (e.g., types, configurations, and locations of cranes) to develop multilift plans can be challenging. An optimized lift plan is essential for multiple lifts due to high rental cost of heavy lift cranes. lifts with pen and paper and scouring through load charts is a thing of the past because now you can quickly and easily plan crane lifts with Kranxpert. Planning lift activities of mobile cranes for a modular project can raise productivity and improve safety.
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