Table of Contents Author Guidelines Submit a Manuscript
Scientific Programming
Volume 2016, Article ID 7053962, 8 pages
http://dx.doi.org/10.1155/2016/7053962
Research Article

Defining Scheduling Problems for Key Resources in Energy-Efficient Port Service Systems

Institute of Logistics Science and Engineering, Shanghai Maritime University, 1550 Haigang Avenue, Shanghai 201306, China

Received 7 August 2016; Accepted 31 August 2016

Academic Editor: Si Zhang

Copyright © 2016 Daofang Chang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Wang, X. Qu, and Y. Yang, “Estimation of the perceived value of transit time for containerized cargoes,” Transportation Research Part A: Policy and Practice, vol. 78, pp. 298–308, 2015. View at Publisher · View at Google Scholar · View at Scopus
  2. B. Prindle, M. Eldridge, M. Eckhardt, and A. Frederick, “The twin pillars of sustainable energy: synergies between energy efficiency and renewable energy technology and policy,” 2008, http://aceee.org/
  3. A. B. Lovins, “Energy strategy: the road not taken?” Foreign Affairs, vol. 55, no. 1, pp. 65–96, 1976. View at Publisher · View at Google Scholar
  4. S. Breukers and E. Heiskanen, “Interaction schemes for 16 successful demand-side management,” Deliverable 5 of the Changing Behaviour project, Funded by the EC, 2009
  5. IMC Services, “Strategic planning and port operations planning,” Tech. Rep., IMC Services, Paitilla, Panama, 2009. View at Google Scholar
  6. M. Grunow, H.-O. Günther, and M. Lehmann, “Strategies for dispatching AGVs at automated seaport container terminals,” OR Spectrum, vol. 28, no. 4, pp. 587–610, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. D. Briskorn, A. Drexl, and S. Hartmann, “Inventory-based dispatching of automated guided vehicles on container terminals,” OR Spectrum, vol. 28, no. 4, pp. 611–630, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Wang, “A novel hybrid-link-based container routing model,” Transportation Research Part E: Logistics and Transportation Review, vol. 61, pp. 165–175, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Wang, “Efficiency and equity of speed limits in transportation networks,” Transportation Research Part C: Emerging Technolo gies, vol. 32, pp. 61–75, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. X. Qu, S. Wang, and J. Zhang, “On the fundamental diagram for freeway traffic: a novel calibration approach for single-regime models,” Transportation Research Part B: Methodological, vol. 73, pp. 91–102, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. X. Qu, J. Zhang, S. Wang, and Z. Liu, “Modelling follow up time at a single-lane roundabout,” Journal of Traffic and Transportation Engineering, vol. 1, no. 2, pp. 97–102, 2014. View at Publisher · View at Google Scholar
  12. D. Steenken, S. Voß, and R. Stahlbock, “Container terminal operation and operations research—a classification and literature review,” OR Spectrum, vol. 26, no. 1, pp. 3–49, 2004. View at Publisher · View at Google Scholar
  13. A. Imai, E. Nishimura, and S. Papadimitriou, “The dynamic berth allocation problem for a container port,” Transportation Research Part B: Methodological, vol. 35, no. 4, pp. 401–417, 2001. View at Publisher · View at Google Scholar · View at Scopus
  14. K. H. Kim and K. C. Moon, “Berth scheduling by simulated annealing,” Transportation Research Part B: Methodological, vol. 37, no. 6, pp. 541–560, 2003. View at Publisher · View at Google Scholar · View at Scopus
  15. K. T. Park and K. H. Kim, “Berth scheduling for container terminals by using a sub-gradient optimization technique,” Journal of the Operational Research Society, vol. 53, no. 9, pp. 1054–1062, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. Y. Guan, W.-Q. Xiao, R. K. Cheung, and C.-L. Li, “A multiprocessor task scheduling model for berth allocation: heuristic and worst-case analysis,” Operations Research Letters, vol. 30, no. 5, pp. 343–350, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  17. D. Chang, W. Yan, C.-H. Chen, and Z. Jiang, “A berth allocation strategy using heuristics algorithm and simulation optimisation,” International Journal of Computer Applications in Technology, vol. 32, no. 4, pp. 272–281, 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. P. Legato and R. M. Mazza, “Berth planning and resources optimisation at a container terminal via discrete event simulation,” European Journal of Operational Research, vol. 133, no. 3, pp. 537–547, 2001. View at Publisher · View at Google Scholar · View at Scopus
  19. C. Q. Zhang, J. Y. Liu, Y.-W. Wan, K. G. Murty, and R. J. Linn, “Storage space allocation in container terminals,” Transportation Research Part B: Methodological, vol. 37, no. 10, pp. 883–903, 2003. View at Publisher · View at Google Scholar · View at Scopus
  20. P. Chen, Z. H. Fu, and L. Adrew, “The yard allocation problem,” in Proceedings of the 18th National Conference on Artificial Intelligence, pp. 56–65, Edmonton, Canada, 2002.
  21. R. Linn, J.-Y. Liu, Y.-W. Wan, C. Zhang, and K. G. Murty, “Rubber tired gantry crane deployment for container yard operation,” Computers & Industrial Engineering, vol. 45, no. 3, pp. 429–442, 2003. View at Publisher · View at Google Scholar · View at Scopus