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The research aims to develop a two-stage optimization model to enhance scheduling for multiple tower cranes at construction sites.

A Two‐Stage Optimization Model for Multiple‐Crane Service Schedules Problem

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The research aims to develop a two-stage optimization model to enhance scheduling for multiple tower cranes at construction sites.
Developed an optimization model comprising two stages for scheduling tower crane movements.
First stage involves grouping material requests based on transportation distance.
Second stage focuses on scheduling crane movements while avoiding collisions.
Used Gurobi for an exact algorithm and an improved genetic algorithm for solution efficiency.
Achieved up to 234.85 times faster computation compared to previous methods.
Maintained total energy costs within a small variation of -1.42% to 0.36%.
In scenarios of urgent material requests, reduced makespan by 15.37% to 49.67% with a slight increase in energy cost.

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Optimization model reduces construction duration and energy cost in multiple-crane scheduling at construction sites.

Wang et al. (2026) studied this question.

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