Development of an Operating System for Optimization of the Container Terminal by Using the Tandem-Lift Quay Crane

Choi, Sang Hei; Im, Hyeonu; Lee, Chulung

doi:10.1007/978-3-642-40861-8_56

Cited by 5 publications

(1 citation statement)

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“…Xing et al (2012) and Chen et al (2014) develop methods for scheduling automated guided vehicles (AGVs) and yard trucks (YTs), respectively, when tandem-lift QCs are used at a container terminal. Choi et al (2014) use a simulation methodology to develop an operating system that can increase the productivity of a container terminal where tandem-lift QCs are used. Several articles in industry journals-including those by McCarthy et al (2007) and World Cargo News (2007)-contain general discussions of tandem-lift QCs but do not present results related to the scheduling or productivity of such cranes.…”

Section: Literature Reviewmentioning

confidence: 99%

Sequencing dual-spreader crane operations: Mathematical formulation and heuristic algorithm

Lashkari

Petering

2017

European Journal of Operational Research

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This paper investigates the problem of scheduling a dual-spreader crane when lifts are subject to a weight limit. A mathematical model is formulated and a fast method for computing a lower bound on the optimal value is proposed. An efficient heuristic approach is designed and subsequently built into a simulated annealing framework to solve the problem. The optimization and heuristic approaches are tested on problem instances of various sizes. The results indicate that the optimization approach produces proven optimal solutions to small-sized instances but fails to solve instances of practical meaning. The heuristic approach can easily match the performance of the optimization approach for small instances and outperforms the optimization approach when tackling larger instances. On average, the heuristic approach produces solutions whose objective values are within 6% of the lower bound.

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Section: Literature Reviewmentioning

confidence: 99%