Chassis Leasing and Selection Policy for Port Operations

References

• Bonney J, Mongelluzzo B (2014) Three largest US ports seek ways to resolve chassis crisis. Accessed January 28, 2019, https://www.joc.com/trucking-logistics/drayage/three-largest-us-ports-seek- ways-resolve-chassis-crisis_20140721.html.Google Scholar
• Chassiakos A, Jula H, VanderBeek T, Shellhammer M, An SD (2017) Analysis and optimization methods for centralized processing of chassis. Report, National Center for Sustainable Transportation, University of California, Davis.Google Scholar
• Cimpeanu R, Devine MT, O’Brien C (2017) A simulation model for the management and expansion of extended port terminal operations. Transportation Res. Part E Logist. Transportation Rev. 98(February):105–131.Google Scholar
• Dragovic B, Tzannatos E, Park NK (2017) Simulation modelling in ports and container terminals: Literature overview and analysis by research field, application area and tool. Flexible Services Manufacturing J. 29(1):4–34.Google Scholar
• Federal Maritime Commission (2015) US container port congestion and related international supply chain issues: Cases, consequences and challenges. Accessed January 28, 2019, http://www.fmc.gov/assets/1/Page/PortForumReport_FINALwebAll.pdf.Google Scholar
• Glover F, Kelly J, Laguna M (1996) New advances and applications of combining simulation and optimization. Charnes JM, Morrice DJ, Brunner DT, Swain JJ, eds. Proc. Winter Simulation Conf. (Institute of Electrical and Electronics Engineers, Washington, DC), 144–152.Google Scholar
• Golden B, Assad A, Gheysens F (1984) Fleet size and mix vehicle routing problem. Comput. Oper. Res. 11(1):49–66.Google Scholar
• Hartman B, Clott C (2014) Intermodal chassis supply—A Bayesian game. Res. Transportation Bus. Management 11(1):49–66.Google Scholar
• Knatz G (2017) How competition is driving change in port governance, strategic decision-making and government policy in the United States. Res. Transportation Bus. Management 22(March):67–77.Google Scholar
• Marques A, de Sousa JP, Röonnqvist M, Jafe R (2014) Combining optimization and simulation tools for short-term planning of forest operations. Scandinavian J. Forest Res. 29(suppl. 1):166–177.Google Scholar
• Mendoza G, Meimban R, Luppold W, Araman P (1991) Combining simulation and optimization models for hardwood lumber production. Proc. Pacific Rim Forestry—Bridging World (Society of American Foresters, Bethesda, MD), 356–361.Google Scholar
• Mongelluzzo B (2015) Chassis ‘summit’ shows industry still faces a steep climb. Accessed January 29, 2019, http://www.joc.com/port-news/us-ports/port-los-angeles/chass is-summit-20151114.html.Google Scholar
• Ng M, Talley WK (2017) Chassis inventory management at U.S. container ports: Modelling and case study. Internat. J. Production Res. 55(18):5394–5404.Google Scholar
• Simao H, Day J, George A, Gifford T, Nienow J, Powell W (2009) An approximate dynamic programming algorithm for large-scale fleet management: A case application. Transportation Sci. 43(2):178–197.Link, Google Scholar
• Stahlbock R, Voß S (2008) Operations research at container terminals: A literature update. OR Spectrum 30(1):1–52.Google Scholar
• Zak J, Redmer A, Sawicki P (2006) Multiple objective optimization for the fleet sizing problem for road freight transportation. J. Adv. Transportation 42(4):379–427.Google Scholar