Enabling Urban Logistics Services at La Poste through Multi-Echelon Location-Routing

References

• Banister D (2000) Sustainable urban development and transport—A eurovision for 2020. Transport Rev. 20(1):113–130.Crossref, Google Scholar
• Ben-Tal A, Nemirovski A (1998) Robust convex optimization. Math. Oper. Res. 23(4):769–805.Link, Google Scholar
• Benjelloun A, Crainic TG (2008) Trends, challenges, and perspectives in city logistics. Transportation and Land Use Interaction, Proc. TRANSLU’08 (Editura Politecnica Press, Bucharest, Romania), 269–284.Google Scholar
• Best Urban Freight Solutions (BESTUFS) II (2008) Deliverable D2.4 Part I: Best practice update, e-commerce and urban freight distribution (home shopping). Technical report, Best Urban Freight Solutions II, Zoetermeer, Netherlands.Google Scholar
• Blanco EE, Fransoo JC (2013) Reaching 50 million nanostores: Retail distribution in emerging megacities. Working Paper WP-404, BETA Research School, Eindhoven University of Technology, Eindhoven, Netherlands.Google Scholar
• Boccia M, Crainic TG, Sforza A, Sterle C (2010) A metaheuristic for a two echelon location-routing problem. Festa P, ed. Experimental Algorithms, Lecture Notes Comput. Sci., Vol. 6049 (Springer, Berlin Heidelberg), 288–301.Crossref, Google Scholar
• Boccia M, Crainic TG, Sforza A, Sterle C (2011) Location-routing models for designing a two-echelon freight distribution system. Publication CIRRELT-2011-06, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport, Université de Montréal, Montréal.Google Scholar
• Christofides N, Eilon S (1969a) An algorithm for the vehicle-dispatching problem. Oper. Res. Quart. 20(3):309–318.Crossref, Google Scholar
• Christofides N, Eilon S (1969b) Expected distances in distribution problems. Oper. Res. Quart. 20(4):437–443.Crossref, Google Scholar
• Contardo C, Hemmelmayr V, Crainic TG (2012) Lower and upper bounds for the two-echelon capacitated location-routing problem. Comput. Oper. Res. 39(12):3185–3199.Crossref, Google Scholar
• Cordeau J-F, Gendreau M, Laporte G (1997) A tabu search heuristic for periodic and multi-depot vehicle routing problems. Networks 30(2):105–119.Crossref, Google Scholar
• Cordeau J-F, Laporte G, Mercier A (2001) A unified tabu search heuristic for vehicle routing problems with time windows. J. Oper. Res. Soc. 52(8):928–936.Crossref, Google Scholar
• Cornuejols G, Tütüncü R (2007) Optimization Methods in Finance, Vol. 13 (Cambridge University Press, Cambridge, UK).Google Scholar
• Côté J-F, Potvin J-Y (2009) A tabu search heuristic for the vehicle routing problem with private fleet and common carrier. Eur. J. Oper. Res. 198(2):464–469.Crossref, Google Scholar
• Crainic TG, Ricciardi N, Storchi G (2004) Advanced freight transportation systems for congested urban areas. Transportation Res. Part C: Emerging Techn. 12(2):119–137.Crossref, Google Scholar
• Crainic TG, Ricciardi N, Storchi G (2009) Models for evaluating and planning city logistics systems. Transportation Sci. 43(4):432–454.Link, Google Scholar
• Crainic TG, Sforza A, Sterle C (2011a) Location-routing models for two-echelon freight distribution system design. Publication CIRRELT-2011-40, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport, Université de Montréal, Montréal.Google Scholar
• Crainic T, Sforza A, Sterle C (2011b) Tabu search heuristic for a two-echelon location-routing problem. Publication CIRRELT-2011-07, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport, Université de Montréal, Montréal.Google Scholar
• Dablanc L (2007) Goods transport in large European cities: Difficult to organize, difficult to modernize. Transportation Res. Part A: Policy Practice 41(3):280–285.Crossref, Google Scholar
• Daganzo CF (1984) The distance traveled to visit n points with a maximum of c stops per vehicle: An analytic model and an application. Transportation Sci. 18(4):331–350.Link, Google Scholar
• Daganzo CF (2005) Logistics Systems Analysis, 4 ed. (Springer-Verlag, Berlin Heidelberg).Google Scholar
• Dobbs R, Smit S, Remes J, Manyika J, Roxburgh C, Restrepo A (2011) Urban world: Mapping the economic power of cities. Report, McKinsey Global Institute, New York, http://www.mckinsey.com/insights/urbanization/urban_world.Google Scholar
• Drexl M, Schneider M (2014) A survey of the standard location-routing problem. Working Paper LPIS-03/2014, Logistics Planning and Information Systems, Technical University Darmstadt, Darmstadt, Germany.Google Scholar
• Drexl M, Schneider M (2015) A survey of variants and extensions of the location-routing problem. Eur. J. Oper. Res. 241(2):283–308.Crossref, Google Scholar
• Eilon S, Watson-Gandy CDT, Christofides N (1971) Distribution Management: Mathematical Modelling and Practical Analysis (Charles Griffin, London).Google Scholar
• Figliozzi MA (2007) Analysis of the efficiency of urban commercial vehicle tours: Data collection, methodology, and policy implications. Transportation Res. Part B: Methodological 41(9):1014–1032.Crossref, Google Scholar
• Gendreau M, Laporte G, Potvin J-Y (2001) Metaheuristics for the capacitated VRP. Toth P, Vigo D, eds. The Vehicle Routing Problem (SIAM, Philadelphia), 129–154.Google Scholar
• Golden BL, Wasil EA, Kelly JP, Chao I (1998) The impact of metaheuristics on solving the vehicle routing problem: Algorithms, problem sets, and computational results. Crainic TG, Laporte G, eds. Fleet Management and Logistics, Centre for Research on Transportation (Kluwer, Boston), 33–56.Crossref, Google Scholar
• Gragnani S, Valenti G, Valentini MP (2004) City logistics in Italy: A national project. Taniguchi E, Thompson RG, eds. Logistics Systems for Sustainable Cities (Elsevier, Amsterdam), 279–294.Crossref, Google Scholar
• Jacobsen SK, Madsen OBG (1980) A comparative study of heuristics for a two-level routing-location problem. Eur. J. Oper. Res. 5(6):378–387.Crossref, Google Scholar
• Kamal-Chaoui L, Sanchez-Reaza J (2012) Urban trends and policies in OECD countries. OECD Regional Development Working Papers 2012/01, OECD Publishing, Paris.Crossref, Google Scholar
• Karp RM (1972) Reducibility among combinatorial problems. Miller RE, Thatcher JW, Bohlinger JD, eds. Complexity of Computer Computations, IBM Research Symposia Series (Springer, New York), 85–103.Crossref, Google Scholar
• Laporte G (1988) Location-routing problems. Golden B, Assad A, eds. Vehicle Routing: Methods and Studies (North-Holland, Amsterdam), 163–198.Google Scholar
• Laporte G (1989) A survey of algorithms for location-routing problems. Investigación Operativa 1(2):93–118.Google Scholar
• Laporte G, Gendreau M, Potvin J-Y, Semet F (2000) Classical and modern heuristics for the vehicle routing problem. Internat. Trans. Oper. Res. 7(4–5):285–300.Crossref, Google Scholar
• Lenstra JK, Rinnooy Kan AHG (1981) Complexity of vehicle routing and scheduling problems. Networks 11(2):221–227.Crossref, Google Scholar
• Madsen OBG (1983) Methods for solving combined two level location-routing problems of realistic dimensions. Eur. J. Oper. Res. 12(3):295–301.Crossref, Google Scholar
• McKinnon AC (2007) Decoupling of road freight transport and economic growth trends in the UK: An exploratory analysis. Transport Rev. 27(1):37–64.Crossref, Google Scholar
• Min H, Jayaraman V, Srivastava R (1998) Combined location-routing problems: A synthesis and future research directions. Eur. J. Oper. Res. 108(1):1–15.Crossref, Google Scholar
• Nagy G, Salhi S (1996) A nested location-routing heuristic using route length estimation. Stud. Locational Anal. 10:109–127.Google Scholar
• Nagy G, Salhi S (2007) Location-routing: Issues, models and methods. Eur. J. Oper. Res. 177(2):649–672.Crossref, Google Scholar
• Nguyen V-P, Prins C, Prodhon C (2010) A multi-start evolutionary local search for the two-echelon location routing problem. Blesa MJ, Blum C, Raidl GR, Roli A, Sampels M, eds. Hybrid Metaheuristics, Lecture Notes Comput. Sci., Vol. 6373 (Springer-Verlag, Berlin Heidelberg), 88–102.Crossref, Google Scholar
• Nguyen V-P, Prins C, Prodhon C (2012a) A multi-start iterated local search with tabu list and path relinking for the two-echelon location-routing problem. Engrg. Appl. Artificial Intelligence 25(1):56–71.Crossref, Google Scholar
• Nguyen V-P, Prins C, Prodhon C (2012b) Solving the two-echelon location routing problem by a GRASP reinforced by a learning process and path relinking. Eur. J. Oper. Res. 216(1):113–126.Crossref, Google Scholar
• OECD (2003) Delivering the goods: 21st century challenges to urban goods transport. Technical report, Organisation for Economic Co-operation and Development, OECD Publishing, Paris.Google Scholar
• Prodhon C, Prins C (2014) A survey of recent research on location-routing problems. Eur. J. Oper. Res. 238(1):1–17.Crossref, Google Scholar
• Rand GK (1976) Methodological choices in depot location studies. Oper. Res. Quart. 27(1):241–249.Crossref, Google Scholar
• Routhier JL, Dufour JG, Patier D (2002) Du transport de marchandises en ville à la logistique urbaine. (Centre de Prospective et Veille Scientifique, Direction de la Recherche et des Affaires Scientifiques et Techniques, Paris).Google Scholar
• Salhi S, Rand GK (1989) The effect of ignoring routes when locating depots. Eur. J. Oper. Res. 39(2):150–156.Crossref, Google Scholar
• Schwengerer M, Pirkwieser S, Raidl GR (2012) A variable neighborhood search approach for the two-echelon location-routing problem. Hao J-K, Middendorf M, eds. Evolutionary Computation in Combinatorial Optimization, Lecture Notes Comput. Sci., Vol. 7245 (Springer-Verlag, Berlin Heidelberg), 13–24.Crossref, Google Scholar
• Smilowitz KR, Daganzo CF (2007) Continuum approximation techniques for the design of integrated package distribution systems. Networks 50(3):183–196.Crossref, Google Scholar
• Stokx CFM, Tilanus CB (1991) Deriving route lengths from radial distances: Empirical evidence. Eur. J. Oper. Res. 50(1):22–26.Crossref, Google Scholar
• SULOGTRA (2000–2001) Deliverable report D1: Analysis of trends in supply chain management and logistics. Technical report, Supply Chain Management, Logistics and Transport, Berlin.Google Scholar
• Taniguchi E, Van Der Heijden RECM (2000) An evaluation methodology for city logistics. Transport Rev. 20(1):65–90.Crossref, Google Scholar
• Taniguchi E, Noritake M, Yamada T, Izumitani T (1999) Optimal size and location planning of public logistics terminals. Transportation Res. Part E: Logist. Transportation Rev. 35(3):207–222.Crossref, Google Scholar
• Tapio P (2005) Towards a theory of decoupling: Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy 12(2):137–151.Crossref, Google Scholar
• United Nations (2012) World Urbanization Prospects, the 2011 Revision (United Nations, New York).Google Scholar
• Yoshimoto R, Nemoto T (2005) The impact of information and communication technology on road freight transportation. IATSS Res. 29(1):16–21.Crossref, Google Scholar