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Performance Comparison of Crane Double CyclingStrategies

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  • Goodchild, Anne V.
  • Daganzo, Carlos

Abstract

This report compares the performance of three double-cycling algorithms used to determine the sequence with which to load and unload containers from a vessel with a quay crane. Double cycling is a technique which can improve the efficiency of a quay crane and container port by unloading and loading containers in the same crane cycle. The three algorithms, the greedy strategy, the proximal strategy, and Johnson’s rule, are introduced and results from applying the three strategies to a set of simulated vessels are compared. While Johnson’s rule provides the minimum number of cycles required to unload and load a vessel using double cycling, it is operationally less convenient. The proximal strategy is operationally convenient, but provides a smaller benefit when compared to single cycling. All strategies provide significant benefit (about a 40% reduction over single cycling for hatchless ships), and the results are not particularly sensitive to the algorithm used.

Suggested Citation

  • Goodchild, Anne V. & Daganzo, Carlos, 2005. "Performance Comparison of Crane Double CyclingStrategies," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt65s0d62v, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt65s0d62v
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    References listed on IDEAS

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    1. Goodchild, Anne V. & Daganzo, Carlos F., 2005. "Crane Double Cycling in Container Ports: Affect on Ship Dwell Time," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9qp7p7jq, Institute of Transportation Studies, UC Berkeley.
    2. S. M. Johnson, 1954. "Optimal two‐ and three‐stage production schedules with setup times included," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 1(1), pages 61-68, March.
    3. Goodchild, Anne Victoria, 2005. "Crane Double Cycling in Container Ports: Algorithms, Evaluation, and Planning," University of California Transportation Center, Working Papers qt0nt8t1db, University of California Transportation Center.
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