Optimizing Schedules for Maritime Humanitarian Cooperative Engagements from a United States Navy Sea Base

References

• Allen T. W., Conway J. T., Roughead G. A cooperative strategy for 21st century seapower. (2007) . Retrieved March 29, 2009, http://www.navy.mil/maritime/MaritimeStrategy.pdfGoogle Scholar
• Bostel N., Dejax P., Guez P., Tricoire F., Golden B., Raghavan S., Wasil E. Multiperiod planning and routing on a rolling horizon for field force optimization logistics. The Vehicle Routing Problem: Last Advances and New Challenges (2008) (Springer, New York) 503–525Part IIICrossref, Google Scholar
• Brown G. G., Carlyle W. M. Optimizing the US Navy's combat logistics force. Naval Res. Logist. (2008) 55(8):800–810Crossref, Google Scholar
• Brown G. G., Dell R. F., Farmer R. A. Scheduling Coast Guard district cutters. Interfaces (1996) 26(2):59–72Link, Google Scholar
• Brown G. G., Dell R. F., Wood R. K. Optimization and persistence. Interfaces (1997) 27(5):15–37Link, Google Scholar
• Brown G. G., Goodman C. E., Wood R. K. Annual scheduling of Atlantic Fleet naval combatants. Oper. Res. (1990) 38(2):249–259Link, Google Scholar
• Christiansen M., Fagerholt K., Ronen D. Ship routing and scheduling: Status and perspectives. Transportation Sci. (2004) 38(1):1–18Link, Google Scholar
• Cline A. K., King D. H., Meyering J. M. Routing and scheduling Coast Guard buoy tenders. Interfaces (1992) 22(3):56–72Link, Google Scholar
• Dantzig G. B., Fulkerson D. R. Minimizing the number of tankers to meet a fixed schedule. Naval Res. Logist. Quart. (1954) 1(3):217–222Crossref, Google Scholar
• Darby-Dowman K., Fink R. K., Mitra G., Smith J. W. An intelligent system for US Coast Guard cutter scheduling. Eur. J. Oper. Res. (1995) 87(3):574–585Crossref, Google Scholar
• Fagerholt K., Korsvik J. E., Løkketangen A., Nunen A. E. E., Speranza M. G., Bertazzi L. Ship routing and scheduling with persistence and distance objectives. Innovations in Distribution Logistics (2009) 619(Springer, Berlin) 89–107Lecture Notes in Economics and Mathematical SystemsCrossref, Google Scholar
• Goyak B. A. First Africa Partnership Station deployment concludes with maritime safety and security symposium. (2008) . Navy.mil (April 13), http://www.navy.mil/search/display.asp?story_id=36387Google Scholar
• Navy Office of Information Sea basing and Africa partnership station. Rhumb Lines (2008) March 28). http://www.navy.mil/navco/speakers/currents/WATC%20Sea%20Basing%2028%20Mar%2008.pdfGoogle Scholar
• Nulty W. G., Ratliff H. D. Interactive optimization methodology for fleet scheduling. Naval Res. Logist. (1991) 38(5):669–677Crossref, Google Scholar
• Psaraftis H. N., Orlin J. B., Bienstock D., Thompson P. Analysis and solution algorithms of sealift routing and scheduling problems: Final report. (1985) . Working Paper 1700-85, MIT Sloan School, Cambridge, MAGoogle Scholar
• Salmerón J., Wood R. K., Morton D. P. A stochastic program for optimizing military sealift subject to attack. Military Oper. Res. (2009) 14(3):19–39Google Scholar
• Spitz G. Mission resource allocation in the Gulf of Guinea. (2007) . Master's thesis, Naval Postgraduate School, Monterey, CAGoogle Scholar
• Toth P., Vigo D.The Vehicle Routing Problem (2002) (Society for Industrial and Applied Mathematics Monographs on Discrete Mathematics and Applications, Philadelphia) Crossref, Google Scholar
• Ward P. Optimizing ship-to-shore movement for hospital ship humanitarian assistance operations. (2008) . Master's thesis, Naval Postgraduate School, Monterey, CAGoogle Scholar
• White House, The President Bush orders the USNS Comfort to Latin America and the Caribbean on humanitarian mission. (2007) . Press release (June 15), http://georgewbush-whitehouse.archives.gov/news/releases/2007/06/20070615-8.htmlGoogle Scholar