Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Single hoist cyclic scheduling with multiple tanks: a material handling solution
Computers and Operations Research - Special issue: Emerging economics
Optimal Cyclic Multi-Hoist Scheduling: A Mixed Integer Programming Approach
Operations Research
Multigraph realizations of degree sequences: Maximization is easy, minimization is hard
Operations Research Letters
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This paper considers the scheduling problem of multiple vehicles executing a given set of jobs in parallel along a shared pathway. The job set consists of storage and retrieval tasks, transporting goods between a front-end depot and given storage locations on the line. Non-crossing constraints need to be applied to the vehicle movements. This problem setting is relevant when a train is loaded with containers by multiple straddle carriers on the landside of a container terminal. Other potential applications exist in multi-shuttle automated storage and retrieval systems and multi-stage production systems where items are transported by parallel hoists. We formalize the problem, analyze its computational complexity, and develop exact and heuristic solution procedures.