A decision support methodology for strategic planning in maritime transportation

Omega

Volumn 38, Issue 6, 2010, Pages 465-474

  Fagerholt, Kjetil ^a   Christiansen, Marielle ^a   Magnus Hvattum, Lars ^a   Johnsen, Trond A V ^a,b   Vabø, Thor J ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b SINTEF OCEAN   (Norway)

Author keywords

Case study; Decision support systems; Heuristics; Routing; Simulation

Indexed keywords

FLEET OPERATIONS; HEURISTIC METHODS; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; OPTIMIZATION; SHIPS; STRATEGIC PLANNING;

CASE-STUDIES; DECISION SUPPORTS; HEURISTIC; INDUSTRIAL SHIPPING; MARITIME TRANSPORTATION; PLANNING PROBLEM; ROUTING AND SCHEDULING; ROUTINGS; SHIPPING COMPANIES; SIMULATION;

DECISION SUPPORT SYSTEMS;

EID: 77952544693     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.omega.2009.12.003     Document Type: Article

References (25)

1. UNCTAD, Review of Maritime Transport, 2007. United Nations, New York and Geneva, 2007.
2. Lawrence S.A. International Sea Transport: The Years Ahead 1972, Lexington Books, Lexington, MA.
3. Brønmo G., Christiansen M., Fagerholt K., Nygreen B. A multi-start local search heuristic for ship scheduling-a computational study. Computers & Operations Research 2007, 34:900-917.
4. Fagerholt K. A computer-based decision support system for vessel fleet scheduling-experience and future research. Decision Support Systems 2004, 37:35-47.
5. Christiansen M., Fagerholt K. Robust ship scheduling with multiple time windows. Naval Research Logistics 2002, 49:611-625.
6. Bausch D.O., Brown G.G., Ronen D. Scheduling short-term marine transport of bulk products. Maritime Policy & Management 1998, 25(4):335-348.
7. Fisher M.L., Rosenwein M.B. An interactive optimization system for bulk-cargo ship scheduling. Naval Research Logistics 1989, 36:27-42.
8. Brown G.G., Graves G.W., Ronen D. Scheduling ocean transportation of crude oil. Management Science 1987, 33:335-346.
9. Fagerholt K., Lindstad H. Optimal policies for maintaining a supply service in the Norwegian Sea. OMEGA 2000, 28:269-275.
10. Cho S.-C., Perakis A.N. Optimal liner fleet routing strategies. Maritime Policy & Management 1996, 23(3):249-259.
11. Taylor A.J. Chartering strategies for shipping companies. OMEGA 1982, 10(1):25-33.
12. Christiansen M., Fagerholt K., Ronen D. Ship routing and scheduling: status and perspectives. Transportation Science 2004, 38(1):1-18.
13. Ronen D. Ship scheduling: the last decade. European Journal of Operational Research 1993, 71(3):325-333.
14. Ronen D. Cargo ships routing and scheduling: survey of models and problems. European Journal of Operational Research 1983, 12(2):119-126.
15. Christiansen M., Fagerholt K., Nygreen B., Ronen D. Maritime transportation. Handbooks in Operations Research and Management Science: Transportation 2007, 189-284. North-Holland, Amsterdam. C. Barnhart, G. Laporte (Eds.).
16. Desrosiers J., Dumas Y., Solomon M.M., Soumis F. Time constrained routing and scheduling. Handbooks in Operations Research and Management Science: Network Routing 1995, 35-139. North-Holland, Amsterdam. M.O. Ball, T.L. Magnanti, C.L. Monma, G.L. Nemhauser (Eds.).
17. Dantzig G.B., Fulkerson D.R. Minimizing the number of tankers to meet a fixed schedule. Naval Research Logistics Quarterly 1954, 1:217-222.
18. Fu M.C. Optimization for simulation: theory vs. practice. INFORMS Journal in Computing 2002, 14(3):192-215.
19. April J, Better M, Glover F, Kelly J, Laguna M. Enhancing business process management with simulation optimization, In: proceedings of the 2006 winter simulation conference, L.F. Perrone, F.P. Wieland, J.Liu, B.G. Lawson, D.M. Nicol, R.M. Fujimoto, editors, 2006. p. 642-49.
20. Bachelet B., Yon L. Model enhancement: improving theoretical optimization with simulation. Simulation Modelling Practice and Theory 2007, 15:703-715.
21. Persson M., Persson J.A. Health economic modelling to support surgery management at a Swedish hospital. OMEGA 2009, 37(4):853-863.
22. Sounderpandian J., Prasad S., Madan M. Supplies from developing countries: optimal order quantities under loss risks. OMEGA 2008, 36(1):122-130.
23. Richetta O., Larson R.C. Modeling the increased complexity of New York city's refuse marine transport system. Transportation Science 1997, 31(3):272-293.
24. Rubinstein R.Y., Kroese D.P. Simulation and the Monte Carlo Method 2008, Wiley, New York. 2nd ed.
25. Brockwell P.J., Davis R.A. Introduction to Time Series and Forecasting 2002, Springer, Berlin, p. 1-44. 2nd ed.