The Value of Sharing Inland Transportation Services in a Dry Port System

References

• Agustina D, Lee C, Piplani R (2014) Vehicle scheduling and routing at a cross docking center for food supply chains. Internat. J. Production Econom. 152(2):29–41.Crossref, Google Scholar
• Ahn K, Rakha H (2008) The effects of route choice decisions on vehicle energy consumption and emissions. Transportation Res. Part D: Transport Environment 13(3):151–167.Crossref, Google Scholar
• Banerjee A, Kim SL, Burton J (2007) Supply chain coordination through effective multi-stage inventory linkages in a JIT environment. Internat. J. Production Econom. 108(1–2):271–280.Crossref, Google Scholar
• Baudin M (2005) Lean Logistics: The Nuts and Bolts of Delivering Materials and Goods (Productivity Press, New York).Crossref, Google Scholar
• Beresford A, Dubey R (1990) Handbook on the Management and Operation of Dry Ports (UNCTAD, Geneva).Google Scholar
• Braekers K, Caris A, Janssens GK (2014) Bi-objective optimization of drayage operations in the service area of intermodal terminals. Transportation Res. Part E: Logist. Transportation Rev. 65(1):50–69.Crossref, Google Scholar
• Chang MF, Herman R (1981) Trip time versus stop time and fuel consumption characteristics in cities. Transportation Sci. 15(3):183–209.Link, Google Scholar
• Chang T-S (2008) Best routes selection in international intermodal networks. Comput. Oper. Res. 35(9):2877–2891.Crossref, Google Scholar
• Chen Z, Sarker B (2009) Multi-vendor integrated procurement-production system under shared transportation and just-in-time delivery system. J. Oper. Res. Soc. 61(11):1654–1666.Crossref, Google Scholar
• Chuah KH, Yingling JC (2005) Routing for a just-in-time supply pickup and delivery system. Transportation Sci. 39(3):328–339.Link, Google Scholar
• Demir E, Bektaş T, Laporte G (2014) A review of recent research on green road freight transportation. Eur. J. Oper. Res. 237(3):775–793.Crossref, Google Scholar
• Du T, Wang F, Lu P-Y (2007) A real-time vehicle-dispatching system for consolidating milk runs. Transportation Res. Part E: Logist. Transportation Rev. 43(5):565–577.Crossref, Google Scholar
• EPA (2010) Light-duty vehicle greenhouse gas emission standards and corporate average fuel economy standards; final rule. Federal Register 40. https://www.gpo.gov/fdsys/pkg/FR-2010-05-07/pdf/2010-8159.pdf.Google Scholar
• EPA (2017) Inventory of U.S. greenhouse gas emissions and sinks: 1990–2015. Report, Environmental Protection Agency, Washington, DC. https://www.epa.gov/sites/production/files/2017-02/documents/2017_complete_report.pdf.Google Scholar
• Francis P, Zhang G, Smilowitz K (2007) Improved modeling and solution methods for the multi-resource routing problem. Eur. J. Oper. Res. 180(3):1045–1059.Crossref, Google Scholar
• Geunes J, Shen Z-JM, Emir A (2007) Planning and approximation models for delivery route based services with price-sensitive demands. Eur. J. Oper. Res. 183(1):460–471.Crossref, Google Scholar
• Gilbert F, Marcotte P, Savard G (2015) A numerical study of the logit network pricing problem. Transportation Sci. 49(3):706–719.Link, Google Scholar
• Hoen KM, Tan T, Fransoo JC, van Houtum G-J (2013) Switching transport modes to meet voluntary carbon emission targets. Transportation Sci. 48(4):592–608.Link, Google Scholar
• Ishfaq R, Sox CR (2010) Intermodal logistics: The interplay of financial, operational and service issues. Transportation Res. Part E: Logist. Transportation Rev. 46(6):926–949.Crossref, Google Scholar
• Janic M (2007) Modelling the full costs of an intermodal and road freight transport network. Transportation Res. Part D: Transport Environment 12(1):33–44.Crossref, Google Scholar
• Jiang Y, Ma P, Zhou S (2018) Macroscopic modeling approach to estimate traffic-related emissions in urban areas. Transportation Res. Part D: Transport Environment 60:41–55.Crossref, Google Scholar
• Kilic HS, Durmusoglu MB, Baskak M (2012) Classification and modeling for in-plant milk-run distribution systems. Internat. J. Adv. Manufacturing Tech. 62(9–12):1135–1146.Crossref, Google Scholar
• Kim KH, Kim KY (2007) Optimal price schedules for storage of inbound containers. Transportation Res. Part B: Methodological 41(8):892–905.Crossref, Google Scholar
• Kovács A (2011) Optimizing the storage assignment in a warehouse served by milkrun logistics. Internat. J. Production Econom. 133(1):312–318.Crossref, Google Scholar
• Lam JSL, Gu Y (2016) A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements. Internat. J. Production Econom. 171(part 2):266–274.Crossref, Google Scholar
• Lee C-G, Epelman MA, White CC, Bozer YA (2006) A shortest path approach to the multiple-vehicle routing problem with split pick-ups. Transportation Res. Part B: Methodological 40(4):265–284.Crossref, Google Scholar
• Li CL, Vairaktarakis G (2007) Coordinating production and distribution of jobs with bundling operations. IIE Trans. 39(2):203–215.Crossref, Google Scholar
• Liao J-J, Huang K-N, Chung K-J (2012) Lot-sizing decisions for deteriorating items with two warehouses under an order-size-dependent trade credit. Internat. J. Production Econom. 137(1):102–115.Crossref, Google Scholar
• Liu J, Li C-L, Chan C-Y (2003) Mixed truck delivery systems with both hub-and-spoke and direct shipment. Transportation Res. Part E: Logist. Transportation Rev. 39(4):325–339.Crossref, Google Scholar
• Marsden G, Bell M, Reynolds S (2001) Towards a real-time microscopic emission model. Transportation Res. Part D: Transport Environment 6(1):37–60.Crossref, Google Scholar
• Meng Q, Wang X (2011) Intermodal hub-and-spoke network design: Incorporating multiple stakeholders and multi-type containers. Transportation Res. Part B: Methodological 45(4):724–742.Crossref, Google Scholar
• Newman AM, Yano CA (2000) Centralized and decentralized train scheduling for intermodal operations. IIE Trans. 32(8):743–754.Crossref, Google Scholar
• Notteboom T, Rodrigue J-P (2005) Port regionalization: Towards a new phase in port development. Maritime Policy Management 32(3):297–313.Crossref, Google Scholar
• Nourbakhsh SM, Ouyang Y (2010) Optimal fueling strategies for locomotive fleets in railroad networks. Transportation Res. Part B: Methodological 44(8):1104–1114.Crossref, Google Scholar
• NTM Road (2010) Environmental data for international cargo transport. Technical report, Network for Transport Measures, Stockholm.Google Scholar
• Pan Z, Tang J, Fung RY (2009) Synchronization of inventory and transportation under flexible vehicle constraint: A heuristics approach using sliding windows and hierarchical tree structure. Eur. J. Oper. Res. 192(3):824–836.Crossref, Google Scholar
• Peterson B, van Hoeve W-J, Kekre S, Debo L (2010) Flexible milk-runs for stochastic vehicle routing. Working paper, Carnegie Mellon University, Pittsburgh.Google Scholar
• Qiu X, Huang GQ, Lam JSL (2015a) A bilevel analytical model for dynamic storage pricing in a supply hub in industrial park (SHIP). IEEE Trans. Automation Sci. Engrg. 12(3):1017–1032.Crossref, Google Scholar
• Qiu X, Lam JSL, Huang GQ (2015b) A bilevel storage pricing model for outbound containers in a dry port system. Transportation Res. Part E: Logist. Transportation Rev. 73:65–83.Crossref, Google Scholar
• Qu Y, Bard JF (2014) A branch-and-price-and-cut algorithm for heterogeneous pickup and delivery problems with configurable vehicle capacity. Transportation Sci. 49(2):254–270.Link, Google Scholar
• Roso V, Lumsden K (2010) A review of dry ports. Maritime Econom. Logist. 12(2):196–213.Crossref, Google Scholar
• Roso V, Woxenius J, Lumsden K (2009) The dry port concept: Connecting container seaports with the hinterland. J. Transport Geography 17(5):338–345.Crossref, Google Scholar
• Sadjadi S, Jafari M, Amini T (2009) A new mathematical modeling and a genetic algorithm search for milk run problem (an auto industry supply chain case study). Internat. J. Adv. Manufacturing Tech. 44(1–2):194–200.Crossref, Google Scholar
• Sarker BR, Diponegoro A (2009) Optimal production plans and shipment schedules in a supply-chain system with multiple suppliers and multiple buyers. Eur. J. Oper. Res. 194(3):753–773.Crossref, Google Scholar
• Ülkü MA (2012) Dare to care: Shipment consolidation reduces not only costs, but also environmental damage. Internat. J. Production Econom. 139(2):438–446.Crossref, Google Scholar
• Verma M, Verter V, Zufferey N (2012) A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials. Transportation Res. Part E: Logist. Transportation Rev. 48(1):132–149.Crossref, Google Scholar
• Wang WF, Yun WY (2013) Scheduling for inland container truck and train transportation. Internat. J. Production Econom. 143(2):349–356.Crossref, Google Scholar
• Wang X, Regan AC (2002) Local truckload pickup and delivery with hard time window constraints. Transportation Res. Part B: Methodological 36(2):97–112.Crossref, Google Scholar
• Zegeye S, Schutter BD, Hellendoorn J, Breunesse E, Hegyi A (2013) Integrated macroscopic traffic flow, emission, and fuel consumption model for control purposes. Transportation Res. Part C: Emerging Tech. 31(2):158–171.Crossref, Google Scholar
• Zhao X, Fan F, Liu X, Xie J (2007) Storage-space capacitated inventory system with (r, Q) policies. Oper. Res. 55(5):854–865.Link, Google Scholar
• Zhou W-H, Lee C-Y (2009) Pricing and competition in a transportation market with empty equipment repositioning. Transportation Res. Part B: Methodological 43(6):677–691.Crossref, Google Scholar