Nothing Special   »   [go: up one dir, main page]

skip to main content
research-article

Cooperative twin-crane scheduling

Published: 01 October 2016 Publication History

Abstract

This paper treats the crane scheduling in a container port where two cooperative gantry cranes (denoted as twin cranes) jointly store import containers arriving from the seaside in a storage yard. We aim to minimize the makespan while non-crossing constraints among cranes need to be considered and preemptive container moves are allowed, i.e.,źthe seaside crane sets down a container in some intermediate position where the landside crane takes over and delivers the container to its final storage position in the yard. Elementary complexity proofs are provided and efficient heuristic solution procedures are introduced and tested.

References

[1]
A.J. Baird, Optimising the container transhipment hub location in northern Europe, J. Transp. Geogr., 14 (2006) 195-214.
[2]
J.J. Bartholdi, D.D. Eisenstein, A production line that balances itself, Oper. Res., 44 (1996) 21-34.
[3]
J.J. Bartholdi, D.D. Eisenstein, R.D. Foley, Performance of bucket brigades when work is stochastic, Oper. Res., 49 (2001) 710-719.
[4]
N. Boysen, S. Bock, Scheduling just-in-time part supply for mixed-model assembly lines, European J. Oper. Res., 211 (2011) 15-25.
[5]
N. Boysen, D. Briskorn, S. Emde, A decomposition heuristic for the twin robots scheduling problem, Nav. Res. Logist., 62 (2014) 16-22.
[6]
N. Boysen, D. Briskorn, F. Meisel, 2014. A Generalized Classification Scheme for Crane Scheduling with Interference, Working Paper Friedrich-Schiller University Jena.
[7]
N. Boysen, M. Fliedner, F. Jaehn, E. Pesch, A survey on container processing in railway yards, Transp. Sci., 47 (2013) 312-329.
[8]
D. Briskorn, P. Angeloudis, Scheduling co-operating stacking cranes with predetermined container sequences, Discrete Appl. Math., 201 (2016) 70-85.
[9]
R. Choe, T.S. Kim, T. Kim, K.R. Ryu, Crane scheduling for opportunistic remarshaling of containers in an automated stacking yard, Flexible Serv. Manuf. J., 27 (2013) 331-349.
[10]
R. Dekker, P. Voogd, E. van Asperen, Advanced methods for container stacking, OR Spectrum, 28 (2006) 563-586.
[11]
R. Edmonson, Calling a new tune, J. Commer., 8 (2007) 12-15.
[12]
G. Erdogan, M. Battarra, G. Laporte, Scheduling twin robots on a line, Nav. Res. Logist., 61 (2014) 119-130.
[13]
M.R. Garey, D.S. Johnson, Computers and intractability: A guide to the theory of NP-completeness, Freeman, New York, 1979.
[14]
A.H. Gharehgozli, G. Laporte, Y. Yu, R. de Koster, Scheduling twin yard cranes in a container block, Transp. Sci., 49 (2015) 686-705.
[15]
D.E. Goldberg, Genetic Algorithms in Search, Optimization & Machine Learning, Addison-Wesley Publishing Company Inc., Reading, MA, 1989.
[16]
D.E. Goldberg, K. Deb, A Comparison of Selection Schemes used in Genetic Algorithms, in: Foundations of Genetic Algorithms, 1991, pp. 69-93.
[17]
S. Hartmann, Generating scenarios for simulation and optimization of container terminal logistics, OR Spectrum, 26 (2004) 171-192.
[18]
J.H. Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, University of Michigan Press, Ann Arbor, MI, 1975.
[19]
N. Kemme, RMG Crane Scheduling and Stacking, in: Handbook of Terminal Planning, Springer, New York, 2011, pp. 271-301.
[20]
N. Kemme, Effects of storage block layout and automated yard crane systems on the performance of seaport container terminals, OR spectrum, 34 (2012) 563-591.
[21]
S. Kirkpatrick, C.D. Gelatt, M.P. Vecchi, Optimization by simulated annealing, Science, 220 (1983) 671-680.
[22]
R. Namboothiri, A.L. Erera, Planning local container drayage operations given a port access appointment system, Transp. Res. E: Logist.Transp. Rev., 44 (2008) 185-202.
[23]
T. Park, R. Choe, S.M. Ok, K.R. Ryu, Real-time scheduling for twin RMGs in an automated container yard, OR Spectrum, 32 (2010) 593-615.
[24]
B. Peterson, I. Harjunkoski, S. Hoda, J.N. Hooker, Scheduling multiple factory cranes on a common track, Comput. Oper. Res., 48 (2014) 102-112.
[25]
C.R. Reeves, Genetic algorithms for the operations researcher, INFORMS J. Comput., 9 (1997) 231-250.
[26]
Y.A. Saanen, M.V. Valkengoed, 2005. Comparison of three automated stacking alternatives by means of simulation. In: Proceedings of the 37th Winter Simulation Conference, 1567-1576.
[27]
R. Stahlbock, S. Voß, Operations research at container terminals: a literature update, OR Spectrum, 30 (2008) 1-52.
[28]
D. Steenken, S. Voß, R. Stahlbock, Container terminal operation and operations research-a classification and literature review, OR Spectrum, 26 (2004) 3-49.
[29]
P.J. Van Laarhoven, E.H. Aarts, J.K. Lenstra, Job shop scheduling by simulated annealing, Oper. Res., 40 (1992) 113-125.
[30]
I.F. Vis, A comparative analysis of storage and retrieval equipment at a container terminal, Int. J. Prod. Econ., 103 (2006) 680-693.
[31]
Y. Wu, W. Li, M.E.H. Petering, M. Goh, R. de Souza, Scheduling multiple yard cranes with crane interference and safety distance requirement, Transp. Sci., 49 (2015) 990-1005.
[32]
W. Zhou, X. Wu, An efficient optimal solution of a two-crane scheduling problem, Asia-Pac. J. Oper. Res., 26 (2009) 31-58.

Cited By

View all
  • (2023)A Double-Agent Neighbor-State Q-learning Algorithm for Dynamic Scheduling Twin-ASCs in ACTsProceedings of the 2023 15th International Conference on Computer Modeling and Simulation10.1145/3608251.3608274(1-7)Online publication date: 16-Jun-2023
  • (2023)A new solution approach for the twin yard crane scheduling problem in automated container terminalsAdvanced Engineering Informatics10.1016/j.aei.2023.10201557:COnline publication date: 1-Aug-2023
  • (2022)Twin-crane scheduling during seaside workload peaks with a dedicated handshake areaJournal of Scheduling10.1007/s10951-021-00710-w25:1(3-34)Online publication date: 1-Feb-2022
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Discrete Applied Mathematics
Discrete Applied Mathematics  Volume 211, Issue C
October 2016
223 pages

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 October 2016

Author Tags

  1. Container logistics
  2. Crane scheduling
  3. Port operations
  4. Twin cranes

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 10 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2023)A Double-Agent Neighbor-State Q-learning Algorithm for Dynamic Scheduling Twin-ASCs in ACTsProceedings of the 2023 15th International Conference on Computer Modeling and Simulation10.1145/3608251.3608274(1-7)Online publication date: 16-Jun-2023
  • (2023)A new solution approach for the twin yard crane scheduling problem in automated container terminalsAdvanced Engineering Informatics10.1016/j.aei.2023.10201557:COnline publication date: 1-Aug-2023
  • (2022)Twin-crane scheduling during seaside workload peaks with a dedicated handshake areaJournal of Scheduling10.1007/s10951-021-00710-w25:1(3-34)Online publication date: 1-Feb-2022
  • (2021)Routing two stacking cranes with predetermined container sequencesJournal of Scheduling10.1007/s10951-021-00689-424:4(367-380)Online publication date: 1-Aug-2021
  • (2019)A decomposition-based approach to the scheduling of identical automated yard cranes at container terminals Journal of Scheduling10.1007/s10951-019-00611-z22:5(517-541)Online publication date: 1-Oct-2019
  • (2019)A generator for test instances of scheduling problems concerning cranes in transshipment terminalsOR Spectrum10.1007/s00291-018-0529-z41:1(45-69)Online publication date: 1-Mar-2019

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media