Uneingeschränkter Zugang

Group-Bay Stowage Planning Problem for Container Ship

Polish Maritime Research's Cover Image
Polish Maritime Research
Special Issue Title: Marine Processes Studies and Marine Engineering

Zitieren

1. Steenken, D., Voß, S., & Stahlbock, R. Container terminal operation and operations research A classification and literature review. OR Spectrum, 26(1), 2004, 3-49.10.1007/s00291-003-0157-zSearch in Google Scholar

2. Alvarez, J. Ambrosino, D., Anghinolfi, D., Paolucci, M A heuristic for vessel planning in a reach stacker terminal[J]. Journal of Maritime Research, III(1), 2006, 3-16.Search in Google Scholar

3. Mi Chao, Zhang Zhiwei, Huang Youfang, Shen Yang, A FAST AUTOMATED VISION SYSTEM FOR CONTAINER CORNER CASTING RECOGNITION,Journal of Marine Science and Technology-Taiwan, 2016, 24(1): 54-60. DOI: 10.6119/JMST-016-0125-8Search in Google Scholar

4. Mi Chao, Shen Yang, Mi Weijian, Huang Youfang, Ship Identification Algorithm Based on 3D Point Cloud for Automated Ship Loaders, Journal of Coastal Research, 2015, 2015(SI.73):28-34. DOI: 10.2112/SI73-006.110.2112/SI73-006.1Search in Google Scholar

5. Wang Hongpeng. Knowledge-based Container Ship Automatic Stowage Expert System [J]. Journal of Shanghai Maritime University,2002,23(1):46-49.Search in Google Scholar

6. Kang, J.-G., & Kim, Y.-D. Stowage planning in maritime container transportation[J]. Journal of the Operational Research Society, 53(4), 2002, 415-426.10.1057/palgrave.jors.2601322Search in Google Scholar

7. Kim, K. H., Kang, J. S., & Ryu, K. R. A beam search algorithm for the load sequencing of outbound containers in port container terminals[J]. OR Spectrum, 26(1), 2004, 93-116.10.1007/s00291-003-0148-0Search in Google Scholar

8. Ambrosino D., Sciomachen A.. A constraints satisfaction approach for master bay plans[J]. In: Sciutto, G., Brebbia, C. (Eds.), Maritime Engineering and Ports. WIT Press, Boston, 1998, pp: 155-164.Search in Google Scholar

9. Mi Chao, Zhang Zhiwei, He Xin, Huang Youfang, Mi Weijian, Two-stage classification approach for human detection in camera video in bulk ports,Polish Maritime Research, 2015, 22(SI.1):163-170. DOI: 10.1515/ pomr-2015-004910.1515/pomr-2015-0049Search in Google Scholar

10. Mi Chao, He Xin, Liu Haiwei, Huang Youfang, Mi Weijian, Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports,Mathematical Problems in Engineering, 2014, Article No.386764.DOI: 10.1155/2014/38676410.1155/2014/386764Search in Google Scholar

11. Mi Chao, Liu Haiwei, Huang Youfang, Mi Weijian, Shen Yang, Fatigue alarm systems for port machine operators, ASIA LIFE SCIENCES, 2016,25(1):31-41.Search in Google Scholar

12. Winter T.. Online and Real-Time Dispatching Problems[D], PhD thesis, Technical University of Braunschweig, Germany, 1999.Search in Google Scholar

13. Cho D.W.. Development of a methodology for containership load planning[D], PhD thesis, Oregon State University, 1984.Search in Google Scholar

14. Botter R.C., Brinati M.A.. Stowage container planning: a model for getting an poptimal solution[J],IFIP Trans. B (App. in Tech.), 1992, B-5: 217-229.Search in Google Scholar

15. Avriel M., Penn M.. Exact and approximate solutions of the container ship stowage problem[J]. Computers & Industrial Engineering, 1993, 25: 271-274.10.1016/0360-8352(93)90273-ZSearch in Google Scholar

16. Avriel M., Penn M., Shpirer N., Witteboon S.. Stowage planning for container ships to reduce the number of shifts[J]. Annals of Operations Research, 1998, 76: 55-71.10.1023/A:1018956823693Search in Google Scholar

17. Ambrosino D., Sciomachen A.,Tanfani E.. Stowing a containership: the master bay plan problem[J]. Transportation Research A, 2004, 38(2): 81-99.10.1016/j.tra.2003.09.002Search in Google Scholar

18. Sciomachen A., Tanfani E.. A 3D-BPP approach for optimising stowage plans and terminal productivity[J]. European Journal of Operational Research, 2007, 183: 1433-1446.10.1016/j.ejor.2005.11.067Search in Google Scholar

19. Pacino, D., Delgado, A., Jensen, R. M., & Bebbington, T. Fast generation of near-optimal plans for eco-efficient stowage of large container vessels. In Proceedings of the second international conference on computational logistics, 2011, ICCL’11 (pp. 286-301), Berlin, Heidelberg: Springer-Verlag.10.1007/978-3-642-24264-9_22Search in Google Scholar

20. Delgado, A., Jensen, R. M., Janstrup, K., Rose, T. H., & Andersen, K. H. A constraint programming model for fast optimal stowage of container vessel bays. European Journal of Operational Research, 2012, 220, 251-261. 10.1016/j.ejor.2012.01.028Search in Google Scholar

eISSN:
2083-7429
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Technik, Einführungen und Gesamtdarstellungen, andere, Geowissenschaften, Atmosphärenkunde und Klimatologie, Biologie