Multi-stage LTL transport systems in supply chain management

Logistics: Perspectives, Approaches and Challenges

Volumn , Issue , 2013, Pages 65-86

  Gonzalez Feliu, Jesus ^a  

^a University of Lyon   (France)

Author keywords

Bundling; Combinatorial optimization; Just in time; Multi echelon logistics; Multi stage freight transport

Indexed keywords

EID: 84880992902     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (82)

1. Ackerman, K.B., Brewer, A.M. (2001). Warehousing: a Key Limit in the Supply Chain. In Brewer, A M., Button, K.J., Hensher, D.A. (eds.), Handbook of Logisitcs and Supply Chain Management, Amsterdam: Pergamon, pp. 225-237.
2. Ackoff, R.L. (1979). The future of operational research is past. Journal of the Operational Research Society 30 (2):93-104.
3. Aikens, C.H. (1985). Facility Location Models for Distribution Planning. European Journal of Operational Research 22 (3): 263-279.
4. Amaya, A., Langevin, A., Trépanier, M. (2007). The capacitated arc routing problem with refill points, Operations Research Letters, 35: 45-53.
5. Amaya, A., Langevin, A., Trépanier, M. (2010). A heuristic method for the capacitated arc routing problem with refill points and multiple loads. Journal of the Operational Research Society (2010) 61: 1095-1103.
6. Ambrosini, C., Routhier, J.L. (2004). Objectives, methods and results of surveys carried out in the field of urban freight transport: an international comparison. Transport Reviews 24 (1): 57-77.
7. Ambrosino, D., Scutellà, M.G. (2005). Distribution network design: new problems and related models. European Journal of Operational Research 165: 610-624.
8. Angelelli, E., Speranza, M.G. (2002). The periodic vehicle routing problem with intermediate facilities. European Journal of Operational Research 137: 233-247.
9. Bard, J. F., Huang, L., Jaillet, P., Dror, M. (1998). A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities. Transportation Science 32 (2): 189-203.
10. Bard, J., Huang, L., Dror, M., Jaillet, P. (1998). A branch and cut algorithm for the VRP with satellite facilities. IIE Transactions 30: 821-834.
11. Beamon, B.M. (1998). Supply Chain Design and Analysis: Models and Methods. International Journal of Production Economics 55: 281-294.
12. Beuthe, M., Kreutzberger, E. (2001). Consolidation and Trans-Shipment. In A.M. Brewer, K.J. Button and D.A. Hensher (eds.), Handbook of Logistics and Supply Chain Management, Amsterdam: Pergamon, pp. 239-252.
13. Boccia, M., Crainic, T. G., Sforza, A., Sterle, C. (2010). A Metaheuristic for a Two Echelon Location-Routing Problem. Lecture Notes in Computer Science 6049: 288-301.
14. Bonnafous, A. (1989). Le siêcle des tenêbres de l'économie, Economica, Paris.
15. Brewer, A.M., Button, K.J. Hensher, D.A. (2001). Handbook of Logisitcs and Supply Chain Management. Amsterdam: Pergamon.
16. Brunswicker, J. (1986). Optimale Standort-und Tourenplanung fur die Rohmilcherfassung eines Molkereibetriebes Lit, Munster.
17. Chao I. (2002). A tabu-search method for the truck and trailer routing problem. Computers and Operations Research 29: 33-51.
18. Cordeau, J.F., Laporte, G., Savelsberg, M., Vigo, D. (2007). Vehicle Routing. In Barnhart C. and Laporte G. (eds.), Transportation, Amsterdam: North Holland, pp. 367-428.
19. Crainic, T.G., Laporte G. (1997). Planning models for freight transportation. European Journal of Operational Research 97: 409-438.
20. Crainic, T.G., Ricciardi, N., Storchi, G. (2004). Advanced freight transportation systems for congested urban areas. Transportation Research Part C 12: 119-137.
21. Crainic, T.G. (2008). City Logistics. In Chen, Z.L. and Raghavan, S. (eds.), Tutorials in Operations Research 2008. State-of-the-Art Decision Making Tools in the Information-Intensive Age, INFORMS, pp. 181-212.
22. Crainic, T.G., Ricciardi, N., Storchi, G. (2009). Models for evaluating and planning city logistic transportation systems. Transportation Science 42(4):432-454.
23. Crainic, T. G., Mancini, S., Perboli, G., Tadei, R. (2010). Two-echelon vehicle routing problem: a satellite location analysis. Procedia Social and Behavioural Sciences 2(3): 5944-5955.
24. Crainic, T. G., Mancini, S., Perboli, G., Tadei, R. (2011). Multi-start heuristics for the Two-Echelon Vehicle Routing Problem. Lecture Notes in ComputerScience 6622: 179-190.
25. Crevier, B., Cordeau, J.F., Laporte, G. (2007). The multi-depot vehicle routing problem with interdepot routes. European Journal of Operational Research 176: 756-773.
26. Del Pia, A., Filippi, C. (2006). A variable neighborhood descent algorithm for a real waste collection problem with mobile depots. International Transactions in Operational Research 13(2): 125-141.
27. Dondo, R., Méndez, C.A., Cerdá, J. (2011). The multi-echelon vehicle routing problem with cross docking in supply chain management. Computers and Chemical Engineering 35(12): 3002-3024.
28. Drexl, M. (2007). On some generalized routing problems. PhD. Thesis, University of Nuremberg, Germany.
29. Gendron, B., Semet, F., Strozyk, C. (2002). Adaptive Distribution Systems. TRANSTECH: Transport Technology Product and Process Innovation Management, Presses Universitaires de Valenciennes, pp. 36-42.
30. Gerdessen, J. (1996). Vehicle routing problem with trailers. European Journal of Operational Research 93: 135-147.
31. Ghiani, G., Laporte, G., Musmanno, R. (2004). Introduction to Logistics Systems Planning and Control, New York: Wiley.
32. Golden, B.L., ed. (1988). Vehicle routing: methods and studies, Amsterdam: North-Holland.
33. Golden, B. L., Raghavan, S. et Wasil, E. A. (2008). Vehicle routing: Latest advances and challenges, Boston: Kluwer.
34. Gonzalez-Feliu J., Perboli G., Tadei R., and Vigo (2007). The two-echelon capacitated vehicle routing problem. 22nd EURO Conference on Operational Reseal Research, Prague, Czech Republic, June 2007.
35. Gonzalez-Feliu, J. (2008). Models and Methods for the City Logistics: The Two-Echelon Capacitated Vehicle Routing Problem. PhD. Thesis. Politecnico di Torino, Turin, Italie.
36. Gonzalez-Feliu, J., Peris-Pla, C., Rakotonarivo, D. (2010). Simulation and optimization methods for logistics pooling approaches in the outbound supply chain. In Romano, C.A. (ed.), Towards a sustainable development and corporate social responsibility strategies in the 21st Century Global Market. Valencia: UPV Publications, pp. 394-401.
37. Gonzalez-Feliu, J. (2011). Two-echelon transportation optimisation: unifying concepts via a systematic review. Working Papers on Operations Management 2(1): 18-30.
38. Gonzalez-Feliu, J., Morana, J. (2011). Collaborative Transportation Sharing: From Theory to Practice via a Case Study from France. In Yearwood, J.L., Stranieri, A. (eds.) Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches, Hershey, PA: Information Science Reference, pp. 252-271.
39. Gonzalez-Feliu, J. (2012a). Freight distribution systems with cross-docking: a multidisciplinary analysis. Journal of the Transportation Research Forum 51(1): 93-109.
40. Gonzalez-Feliu, J. (2012b). Cost optimisation in freight distribution with cross-docking: N-echelon location routing problem. Promet-Traffic and Transportation 24(2): 143-149.
41. Gonzalez-Feliu, J., Salanova, J. (2012). Defining and evaluating collaborative urban freight distribution systems. Procedia-Social and Behavioral Science 39: 172-183.
42. Hinojosa Y., Puerto J., Fernández F. R. (2003), A multiperiod two-echelon multicommodity capacitated plant location problem, European Journal of Operational Research vol. 23 pp. 271-291.
43. Hoff, A., and Løkketangen, A. (2008), A Tabu Search Approach for Milk Collection in Western Norway. In Proceedings of the Sixth Triennial Symposium on Transportation Analysis, TRISTAN, Pukkett, Thailand.
44. Huart, A., Brotcorne, L., Semet, F. (2010). Optimisation of multimodal transportation chains in city logistics. Proceedings of the VII Triennial Symposium on Transport Analysis, Tromso, Norway.
45. Jacobsen, S.K., Madsen, O.B.G. (1980). A Comparative Study of Heuristics for a Two-Level Routing-Location Problem. European Journal of Operational Research 5: 378-387.
46. Jepsen, M, Spoorendonk, S, Ropke, S. (2012). A branch-and-cut algorithm for the Symmetric two-echelon capacitated vehicle routing problem. Transportation Science, http://dx.doi.org/10.1287/trsc.1110.0399.
47. Klose, A., Drexl, A. (2005). Facility Location Models for Distribution System Design. European Journal of Operational Research 162 (1): 4-29.
48. Kreutzberger, E. (2006). The shipper's perspective on distance and time and the operator (intermodal goods transport) response. European Transport/Trasporti Europei, 25-26: 99-113.
49. Kreutzberger, E. (2008). The Innovation of Intermodal Rail Freight Bundling Networks in Europe. Concepts, Developments, Performances, TRAIL Thesis Series nr. T2008/16, Delft, The Netherlands.
50. Kreutzberger, E. (2010). Lower Cost Intermodal Rail Freight Transport Bundling Networks: Conceptual Structuring and Identification. European Journal of Transport and Infrastructure Research 10 (2): 158-180.
51. Lambert, D.M. (2008). Supply Chain Management: Processes, Partnerships, Performance. 3rd edition., Sarasota, FL:Supply Chain Management Institute.
52. Laporte, G. (2002). The Vehicle Routing Problem: An Overview of Exact and Approximate Algorithms. European Journal of Operational Research 59: 345-358.
53. Larbi, R., Alpan, G., Baptiste, P., Penz, B. (2011). Scheduling Cross Docking Operations Under Full, Partial and No Information on Inbound Arrivals. Computers and Operations Research 38 (6): 889-900.
54. Lin, S. W., Yu, V.F., Chou, S.Y. (2009). Solving the truck and trailer routing problem based on a simulated annealing heuristic. Computers and Operations Research 36: 1683-1692.
55. Lowe, D. (2005). Intermodal Freight Transport. Butterworth-Heinemann.
56. Madsen, O.B.G. (1983). Methods for solving combined two level location-routing problems of realistic dimensions. European Journal of Operational Research 12 (3): 295-301.
57. Min, H., Jayaraman, V., Srivastava, R. (1997). Combined location-routing problems: A synthesis and future research directions. European Journal of Operational Research 108: 1-15.
58. Nagy, G., Salhi, S. (2007). Location routing: Issues, models and methods, European Journal of Operational Research 177: 649-672.
59. Nguyen, V.P., Prins, C., Prodhon, C. (2010). A Multi-Start Evolutionary Local Search for the Two-Echelon Location Routing Problem. Lecture Notes in Computer Science 6373: 88-102.
60. Nguyen, V.P., Prins, C., Prodhon, C. (2011). A multi-start iterated local search with tabu list and path relinking for the two-echelon location-routing problem. Engineering Applications of Artificial Intelligence 25(1): 56-71.
61. Nguyen, V.P., Prins, C., Prodhon, C. (2012). Solving the two-echelon location routing problem by a GRASP reinforced by a learning process and path relinking. European Journal of Operational Research 216: 113-126.
62. Ortuzar, J.d.D., Willumsen, L.G. (2001). Modeling Transport. Third Edition. Chichester: John Wiley and Sons.
63. Perboli, G., Tadei, R., Masoero, F. (2010). New Families of Valid Inequalities for the Two-Echelon Vehicle Routing Problem. Electronic notes in discrete mathematics 36: 639-646.
64. Rodrigue, J.P. (2006). Transportation and the Geographical and Functional Integration of Global Production Network's. Growth and Change 37: 510-525.
65. Scheuerer, S. (2006). A Tabu Search Heuristic for the Truck and Trailer Routing Problem. Computers and Operations Research 33: 894-909.
66. Semet, F., Taillard, E. (1993). Solving real-life vehicle routing problems efficiently using tabu search. Annals of Operations Research 41: 469-488.
67. Semet, F. (1995). A two-phase algorithm for partial accessibility constrained vehicle routing problem. Annals of Operations Research 61: 45-65.
68. Simonot, P.Y., Roure, J. (2007). Logistique collaborative. Une question d'avenir. Paris: Economica.
69. Soltani, R., Sadjadi, S.J. (2010). Scheduling Trucks in Cross-Docking Systems: A Robust Meta-Heuristics Approach. Transportation Research Part E 46(5): 650-666.
70. Tan, K.C., Chew, Y.H., Lee, L.H. (2006). A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems. European Journal of Operations Research 172: 855-885.
71. TLandAssociés, LET (2009). FIDES: Flexibilité et Impact de la Demande de Transport des Différents Secteurs Economiques et Simulation de Scénarios d'Evolution. Rapport final. Paris: PREDIT.
72. Toth P., Vigo D. (2002). The vehicle routing problem, Philadelphia: Society for Industrial and Applied Mathematics.
73. Vahrenkamp, R. (1989). Transportation logistic in rural setting: the case of milk collection. Technical Report 5/1989. Kassel: Fachbereich Wirtschaftswissenschaften.
74. Ville, S., Gonzalez-Feliu, J., Dablanc, L. (2012). The limits of public policy intervention in urban logistics: Lessons from Vicenza (Italy), European Planning Studies, doi: 10.1080/09654313.2012.722954.
75. Villegas, J.G., Prins, C., Prodhon, C., Medaglia, A.N., Velasco, N. (2010), GRASP/VND and multi-start evolutionary local search for the single truck and trailer routing problem with satellite depots. Engineering Applications of Artificial Intelligence 23(5): 780-794
76. Wang, J.F., Regan, A. (2008). Real-Time Trailer Scheduling for Crossdock Operations. Transportation Journal, 47 (2): 5-20.
77. Wang, M., Xuhong, T., Chang, S., Wu, S. (2011). Hybrid ant colony optimization algorithm for two echelon vehicle routing optimization, Procedia Engineering 15: 3361-3365
78. Wieberneit, N. (2008). Service Network Design for Freight Transport: A Review. OR Spectrum 30: 77-112.
79. Wren A. (1971). Computers in Transport Planning and Operations, London: Ian Allan.
80. Yang, K.K., Balakrishan, J., Cheng, C.H. (2010). An Analysis of Factors Affecting Cross Docking Operations. Journal of Business Logistics 31 (1): 121-148.
81. Yearwood, J.L., Stranieri, A. (2011). Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches. Hershey, PA: Information Science Reference.
82. Zegordi S., Nikbakhsh, E. (2009). A heuristic and a lower bound for the two-echelon location-routing problem. International journal of industrial engineering and management 20(1): 1-14.