Abstract:
Aiming at the Multi-Crane Scheduling Problem (MCSP) in the transit warehouse, a scheduling scheme with dynamic priority is proposed in this paper. The problem was modelle...Show MoreMetadata
Abstract:
Aiming at the Multi-Crane Scheduling Problem (MCSP) in the transit warehouse, a scheduling scheme with dynamic priority is proposed in this paper. The problem was modelled with the goal of respectively minimizing the completion time of all tasks and the frequency of crane avoidance. A Simulation-based Genetic Algorithm (SbGA) is designed to solve the model and generate feasible scheduling schemes. Besides, a novel updating strategy for task priority is designed to implement dynamic scheduling. The proposed scheme is applied to an actual industrial case in an iron and steel enterprise. Numerous experiments demonstrate the efficiency of the proposed model and scheme.
Published in: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)
Date of Conference: 03-06 July 2023
Date Added to IEEE Xplore: 24 October 2023
ISBN Information: