2010
DOI: 10.1016/j.ijpe.2009.09.006
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Crane scheduling in a shipbuilding environment

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Cited by 21 publications
(15 citation statements)
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“…The objective was to minimize the sum of the completion time of the yard cranes. Recently, Wen et al (2010) described exact and heuristic approaches for scheduling multiple cranes that service a ship yard that produces multiple ships concurrently. Li et al (2011) aimed to generate CT applicable and an optimal schedule, they developed an efficient continuous-time model and applied a rolling-horizon algorithm for container YC work schedules.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The objective was to minimize the sum of the completion time of the yard cranes. Recently, Wen et al (2010) described exact and heuristic approaches for scheduling multiple cranes that service a ship yard that produces multiple ships concurrently. Li et al (2011) aimed to generate CT applicable and an optimal schedule, they developed an efficient continuous-time model and applied a rolling-horizon algorithm for container YC work schedules.…”
Section: Literature Reviewmentioning
confidence: 99%
“…These constraints include non-interference constraints of quay cranes (e.g. Lee et al, 2008;Kim and Park, 2004;Wen et al, 2010), safety margin between adjacent quay cranes (e.g. Bierwirth and Meisel, 2009), precedence relationships between tasks (e.g.…”
Section: Related Workmentioning
confidence: 99%
“…Chang et al (2011) established an integer programming model to minimise the total task delaying at blocks for a rolling-horizon decision strategy. Multiple cranes scheduling problem International Journal of Production Research 2983 was studied in Wen et al (2010), who presented an integer programming formulation to perform a variety of lifts in support of ship construction. On the other hand Tang, Xie, and Liu (2009) explored the scheduling of a single crane in batch annealing process for minimising the last coil stack completion time and a two-phase algorithm was constructed.…”
Section: Management Optimisation In Warehouse Managementmentioning
confidence: 99%