Skip to main content
Log in

A survey on pickup and delivery problems

Part I: Transportation between customers and depot

  • State-of-the-Art-Article
  • Published:
Journal für Betriebswirtschaft Aims and scope Submit manuscript

Abstract

This paper is the first part of a comprehensive survey on pickup and delivery problems. Basically, two problem classes can be distinguished. The first class, discussed in this paper, deals with the transportation of goods from the depot to linehaul customers and from backhaul customers to the depot. This class is denoted as Vehicle Routing Problems with Backhauls (VRPB). Four subtypes can be considered, namely the Vehicle Routing Problem with Clustered Backhauls (VRPCB – all linehauls before backhauls), the Vehicle Routing Problem with Mixed linehauls and Backhauls (VRPMB – any sequence of linehauls and backhauls permitted), the Vehicle Routing Problem with Divisible Delivery and Pickup (VRPDDP – customers demanding delivery and pickup service can be visited twice), and the Vehicle Routing Problem with Simultaneous Delivery and Pickup (VRPSDP – customers demanding both services have to be visited exactly once). The second class, dealt with in the second part of this survey, refers to all those problems where goods are transported between pickup and delivery locations. These are the Pickup and Delivery Vehicle Routing Problem (PDVRP – unpaired pickup and delivery points), the classical Pickup and Delivery Problem (PDP – paired pickup and delivery points), and the Dial-A-Ride Problem (DARP – passenger transportation between paired pickup and delivery points and user inconvenience taken into consideration). Single as well as multi vehicle versions of the mathematical problem formulations are given for all four VRPB types, the corresponding exact, heuristic, and metaheuristic solution methods are discussed.

Zusammenfassung

Der vorliegende Artikel ist Teil I einer umfassenden Überblicksarbeit in zwei Teilen über pickup and delivery Probleme. Grundsätzlich können zwei Problemklassen unterschieden werden. Die erste Problemklasse, mit der sich dieser Artikel befasst, beinhaltet all jene Probleme, die Auslieferungen von einem Depot zu Auslieferungs-Kunden (linehaul customers) und Abholungen von Rückladungs-Kunden (backhaul customers) zu einem Depot behandeln. Diese Problemklasse wird im Folgenden als Vehicle Routing Problems with Backhauls (VRPB) bezeichnet. Vier verschiedene Problemtypen können weiters unterschieden werden: das Vehicle Routing Problem with Clustered Backhauls (VRPCB), alle Auslieferungen müssen vor den Abholungen durchgeführt werden, das Vehicle Routing Problem with Mixedlinehauls and Backhauls (VRPMB), gemischte Ausliefer- und Abholsequenzen sind gestattet, das Vehicle Routing Problem with Divisible Delivery and Pickup (VRPDDP), Kunden, die Ausliefer- und Abholservice verlangen, können zweimal besucht werden, und das Vehicle Routing Problem with Simultaneous Delivery and Pickup (VRPSDP), Kunden, die beide Services verlangen, können nur genau einmal angefahren werden. Die zweite pickup and delivery Problemklasse wird in Teil II dieser Arbeit behandelt. Sie beinhaltet all jene Problemtypen, die sich mit Transporten zwischen Abhol- und Auslieferungsorten befassen: das Pickup and Delivery Vehicle Routing Problem (PDVRP), ungepaarte Abhol- und Auslieferungsorte, das klassische Pickup and Delivery Problem (PDP), gepaarte Abhol- und Auslieferungsorte, und das Dial-A-Ride Problem (DARP), Personentransport zwischen gepaarten Abhol- und Ablieferungsorten unter Berücksichtigung von serviceorientierten Kriterien. Die jeweiligen Problemtypen werden zuerst anhand von mathematischen Einfahrzeug- und Mehrfahrzeugproblemformulierungen definiert. Im Anschluss werden die in der Literatur beschriebenen Lösungsmethoden diskutiert.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Aarts E, Lenstra J (1997) Local Search in Combinatorial Optimization. Wiley, Chichester

    Google Scholar 

  2. Alshamrani A, Mathur K, Ballou RH (2007) Reverse logistics: Simultaneous design of delivery routes and returns strategies. Comput Oper Res 34:595–619

    Article  Google Scholar 

  3. Angelelli E, Mansini R (2002) The vehicle routing problem with time windows and simultaneous pick-up and delivery. In: Klose A, Speranza MG, VanWassenhove LN (eds) Quantitative Approaches to Distribution Logistics and Supply Chain Management. Springer, Berlin-Heidelberg, pp 249–267

    Google Scholar 

  4. Anily S (1996) The vehicle-routing problem with delivery and back-haul options. Naval Res Logist 43:415–434

    Article  Google Scholar 

  5. Anily S, Mosheiov G (1994) The traveling salesman problem with delivery and backhauls. Oper Res Lett 16:11–18

    Article  Google Scholar 

  6. Archetti C, Hertz A, Speranza MG (2006a) A tabu search algorithm for the split delivery vehicle routing problem. Transport Sci 40:64–73

    Article  Google Scholar 

  7. Archetti C, Savelsbergh M, Speranza MG (2006b) Worst-case analysis for split delivery vehicle routing problems. Transport Sci 40:226–234

    Article  Google Scholar 

  8. Baldacci R, Hadjiconstantinou E, Mingozzi A (2003) An exact algorithm for the traveling salesman problem with deliveries and collections. Networks 42:26–41

    Article  Google Scholar 

  9. Barnhart C, Johnson E, Nemhauser G, Savelsbergh M, Vance P (1998) Branch-and-price: Column generation for solving huge integer programs. Oper Res 46:316–329

    Google Scholar 

  10. Berbeglia G, Cordeau JF, Gribkovskaia I, Laporte G (2007) Static pickup and delivery problems: A classification scheme and survey. TOP 15:1–31

    Article  Google Scholar 

  11. Beullens P (2001) Location, Process Selection, and Vehicle Routing Models for Reverse Logistics. Ph.D. thesis, Centre for Industrial Management, Katholieke Université it Leuven, Belgium, pp 95–125, (Chapter 5)

  12. Beullens P, Van Oudheusden D, VanWassenhove LN (2004) Collection and vehicle routing issues in reverse logistics. In: Dekker R, Fleischmann M, Inderfurth K, Van Wassenhove LN (eds) Reverse Logistics, Quantitative Models for Closed-Loop Supply Chains. Springer, Berlin, pp 95–134

    Google Scholar 

  13. Bianchessi N, Righini G (2007) Heuristic algorithms for the vehicle routing problem with simultaneous pick-up and delivery. Comput Oper Res 34:578–594

    Article  Google Scholar 

  14. Brandão J (2006) A new tabu search algorithm for the vehicle routing problem with backhauls. Eur J Oper Res 173:540–555

    Article  Google Scholar 

  15. Bräysy O, Gendreau M (2005) Vehicle routing with time windows. Part II: Metaheuristics. Transport Sci 39:119–139

    Article  Google Scholar 

  16. Casco D, Golden B, Wasil E (1988) Vehicle routing with backhauls: Models, algorithms, and case studies. In: Golden B, Assad A (eds) Vehicle Routing: Methods and Studies. North-Holland, Amsterdam, pp 127–147

    Google Scholar 

  17. Chen JF, Wu TH (2006) Vehicle routing problem with simultaneous deliveries and pickups. J Oper Res Soc 57:579–587

    Article  Google Scholar 

  18. Chisman JA (1975) The clustered traveling salesman problem. Comput Oper Res 2:115–119

    Article  Google Scholar 

  19. Christofides N (1975) Worst-case analysis of a new heuristic for the travelling salesman problem. Tech Rep Report 388, Graduate School of Industrial Administration, Carnegie-Mellon University

  20. Christofides N, Eilon S (1969) An algorithm for the vehicle-dispatching problem. Oper Res Quart 20:309–318

    Google Scholar 

  21. Christofides N, Mingozzi A, Toth P (1979) The vehicle routing problem. In: Christofides N, Mingozzi A, Toth P, Sandi C (eds) Combinatorial Optimization. Wiley, Chichester, pp 315–338

    Google Scholar 

  22. Clarke G, Wright JW (1964) Scheduling of vehicles from a central depot to a number of delivery points. Oper Res 12:568–581

    Google Scholar 

  23. Cordeau JF (2006) A branch-and-cut algorithm for the dial-a-ride problem. Oper Res 54:573–586

    Article  Google Scholar 

  24. Cordeau JF, Desaulniers G, Desrosiers J, Solomon MM, Soumis F (2002) VRP with time windows. In: Toth P, Vigo D (eds) The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. vol 9. SIAM, Philadelphia, PA, pp 175–193

    Google Scholar 

  25. Cordeau JF, Gendreau M, Hertz A, Laporte G, Sormany JS (2005) New heuristics for the vehicle routing problem. In: Langevin A, Riopel D (eds) Logistics Systems: Design and Optimization. Springer, New York, pp 279–297

    Chapter  Google Scholar 

  26. Crispim J, Brandão J (2005) Metaheuristics applied to mixed and simultaneous extensions of vehicle routing problems with backhauls. J Oper Res Soc 56:1296–1302

    Article  Google Scholar 

  27. Crispim J, Brandão J (2001) Reactive tabu search and variable neighbourhood descent applied to the vehicle routing problem with backhauls. In: MIC 2001 4th Metaheuristic International Conference. Porto, Portugal, 16–20 July 2001

  28. Deif I, Bodin LD (1984) Extensions of the Clarke andWright algorithm for solving the vehicle routing problem with backhauling. In: Proceedings of the Babson College Conference of Software Uses in Transportation and Logistics Management. Babson Park, MA. pp 75–96

  29. Dell’Amico M, Righini G, Salani M (2006) A branch-and-price approach to the vehicle routing problem with simultaneous distribution and collection. Transport Sci 40:235–247

    Article  Google Scholar 

  30. Derigs U, Metz A (1992) A matching-based approach for solving a delivery/pickup VRP with time constraints. OR-Spektrum 14:91–106

    Article  Google Scholar 

  31. Desaulniers G, Desrosiers J, Ioachim I, Solomon M, Soumis F, Villeneuve D (1998) A unified framework for deterministic time constrained vehicle routing and crew scheduling problems. In: Crainic T, Laporte G (eds) Fleet Management and Logistics. Kluwer Academic Publisher, Boston, Dordrecht, London, pp 57–93

    Google Scholar 

  32. Desaulniers G, Desrosiers J, Solomon M (eds) (2005) Column Generation, No. 5. In: GERAD 25th Anniversary. Springer

  33. Dethloff J (2001) Vehicle routing and reverse logistics: The vehicle routing problem with simultaneous delivery and pick-up. OR Spektrum 23:79–96

    Article  Google Scholar 

  34. Dethloff J (2002) Relation between vehicle routing problems: An insertion heuristic for the vehicle routing problem with simultaneous delivery and pick-up applied to the vehicle routing problem with backhauls. J Oper Res Soc 53:115–118

    Article  Google Scholar 

  35. Dueck G (1993) New optimization heuristics: The great deluge algorithm and the record-to-record travel. J Comput Phys 104:86–92

    Article  Google Scholar 

  36. Duhamel C, Potvin JY, Rousseau JM (1997) A tabu search heuristic for the vehicle routing problem with backhauls and time windows. Transport Sci 31:49–59

    Google Scholar 

  37. Eurostat (2004) Energy, transport and environment indicators – Data 1991–2001. Luxembourg: Office for Official Publications of the European Communities. Online: http://europa.eu.int/comm/eurostat/

  38. Eurostat (2006) Key figures on Europe – Statistical Pocketbook 2006 – Data 1995–2005. Luxembourg: Office for Official Publications of the European Communities. Online: http://europa.eu.int/comm/eurostat/

  39. Fischetti M, Toth P (1989) An additive bounding procedure for combinatorial optimization problems. Oper Res 37:319–328

    Google Scholar 

  40. Fischetti M, Toth P, Vigo D (1994) A branch-and-bound algorithm for the capacitated vehicle routing problem on directed graphs. Oper Res 42:846–859

    Google Scholar 

  41. Fleischmann M, Bloemhof-Ruwaard JM, Dekker R, van der Laan E, van Nunen JAEE, Van Wassenhove LN (1997) Quantitative models for reverse logistics: A review. Eur J Oper Res 103:1–17

    Article  Google Scholar 

  42. Funke B, Grünert T, Irnich S (2005) Local search for vehicle routing and scheduling problems: Review and conceptual integration. J Heuristics 11:267–306

    Article  Google Scholar 

  43. Ganesh K, Narendran TT (2007) CLOVES: A cluster-and-search heuristic to solve the vehicle routing problem with delivery and pick-up. Eur J Oper Res 178:699–717

    Article  Google Scholar 

  44. Garey RM, Johnson DS (1979) Computers and intractability. A guide to the theory of NP-completeness. Bell Laboratories, Murray Hill, NJ

    Google Scholar 

  45. Gélinas S, Desrochers M, Desrosiers J, Solomon MM (1995) A new branching strategy for time constrained routing problems with application to backhauling. Ann Oper Res 61:91–109

    Article  Google Scholar 

  46. Gendreau M, Hertz A, Laporte G (1992) New insertion and postoptimization procedures for the traveling salesman problem. Oper Res 40:1086–1094

    Google Scholar 

  47. Gendreau M, Hertz A, Laporte G (1996a) The traveling salesman problem with backhauls. Comput Oper Res 23:501–508

    Article  Google Scholar 

  48. Gendreau M, Hertz A, Laporte G (1997) An approximation algorithm for the traveling salesman problem with backhauls. Oper Res 45:639–641

    Google Scholar 

  49. Gendreau M, Laporte G, Potvin JY (1996b) Heuristics for the clustered traveling salesman problem. Combin Optim 1:41–56

    Google Scholar 

  50. Gendreau M, Laporte G, Vigo D (1999) Heuristics for the traveling salesman problem with pickup and delivery. Comput Oper Res 26:699–714

    Article  Google Scholar 

  51. Ghaziri H, Osman IH (2003) A neural network algorithm for the traveling salesman problem with backhauls. Comput Ind Eng 44:267–281

    Article  Google Scholar 

  52. Ghaziri H, Osman IH (2006) Self-organizing feature maps for the vehicle routing problem with backhauls. J Sched 9:97–114

    Article  Google Scholar 

  53. Gillett BE, Johnson JG (1976) Multi-terminal vehicle dispatch algorithm. Omega 4:639–641

    Article  Google Scholar 

  54. Goetschalckx M, Jacobs-Blecha C (1989) The vehicle routing problem with backhauls. Eur J Oper Res 42:39–51

    Article  Google Scholar 

  55. Goetschalckx M, Jacobs-Blecha C (1993) The vehicle routing problem with backhauls: Properties and solution algorithms. Tech. Rep. MHRC-TR-88-13, Georgia Institute of Technology

  56. Golden B, Baker E, Alfaro J, Schaffer J (1985) The vehicle routing problem with backhauling: Two approaches. In: Hammesfahr RD (ed) Proceedings of the Twenty-First Annual Meeting of S. E. TIMS. Myrtle Beach, SC, pp 90–92

    Google Scholar 

  57. Gribkovskaia I, Halskau Ø, Laporte G, Vlček M (2007) General solutions to the single vehicle routing problem with pickups and deliveries. Eur J Oper Res 180:568–584

    Article  Google Scholar 

  58. Hall RW (1996) Pickup and delivery systems for overnight carriers. Transport Res A-Pol 30:173–187

    Google Scholar 

  59. Halse K (1992) Modeling and solving complex vehicle routing problems. Ph.D. thesis, Institute of Mathematical Statistics and Operations Research (IMSOR), Technical University of Denmark

  60. Halskau Ø, Gribkovskaia I, Myklebost KNB (2001) Models for pick-up and deliveries from depots with lasso solutions. In: Proceedings of the 13th Annual Conference on Logistics Research – NOFOMA 2001 Collaboration in logistics: Connecting Islands using Information Technology, Reykjavik, Iceland, 2001-06-14 – 2001-06-15, Chalmers University of Technology. Göteborg, Sweden, pp 279–293

    Google Scholar 

  61. Hasama T, Kokubugata H, Kawashima H (1998) A heuristic approach based on the string model to solve vehicle routing problem with backhauls. In: Proceedings of the 5th World Congress on Intelligent Transport Systems (ITS). Seoul, 1998

  62. Hoff A, Løkketangen A (2006) Creating lasso-solutions for the traveling salesman problem with pickup and delivery by tabu search. Cent Eur J Oper Res 14:125–140

    Article  Google Scholar 

  63. Hoos H, Stützle T (2005) Stochatic Local Search Foundations and Applications. Morgan Kaufmann Publishers, Elsevier, San Francisco, CA

    Google Scholar 

  64. Irnich S (2000) A multi – depot pickup and delivery problem with a single hub and heterogeneous vehicles. Eur J Oper Res 122:310–328

    Article  Google Scholar 

  65. Jongens K, Volgenant T (1985) The symmetric clustered traveling salesman problem. Eur J Oper Res 19:68–75

    Article  Google Scholar 

  66. Kontoravdis G, Bard JF (1995) A GRASP for the vehicle routing problem with time windows. ORSA J Comput 7:10–23

    Google Scholar 

  67. Kuhn HW (1955) The Hungarian method for the assignment algorithm. Naval Res Logist Q 1:88–97

    Google Scholar 

  68. Laporte G, Potvin JY, Quilleret F (1996) A tabu search heuristic using genetic diversification for the clustered traveling salesman problem. J Heuristics 2:187–200

    Article  Google Scholar 

  69. Lin S (1965) Computer solutions of the traveling salesman problem. AT&T Tech J 44:2245–2269

    Google Scholar 

  70. Lokin FCJ (1978) Procedures for traveling salesman problems with additional constraints. Eur J Oper Res 3:135–141

    Article  Google Scholar 

  71. Miller CE, Tucker AW, Zemlin RA (1960) Integer programming formulation of traveling salesman problems. J ACM 7:326–329

    Article  Google Scholar 

  72. Min H (1989) The multiple vehicle routing problem with simultaneous delivery and pickup points. Transport Res A-Pol 23:377–386

    Article  Google Scholar 

  73. Min H, Current J, Schilling D (1992) The multiple depot vehicle routing problem with backhauling. J Bus Log 13:259–288

    Google Scholar 

  74. Mingozzi A, Giorgi S, Baldacci R (1999) An exact method for the vehicle routing problem with backhauls. Transport Sci 33:315–329

    Google Scholar 

  75. Mladenovic N, Hansen P (1997) Variable neighborhood search. Comput Oper Res 24:1097–1100

    Article  Google Scholar 

  76. Mosheiov G (1994) The traveling salesman problem with pickup and delivery. Eur J Oper Res 79:299–310

    Article  Google Scholar 

  77. Mosheiov G (1995) The pick-up and delivery location problem on networks. Networks 26:243–251

    Article  Google Scholar 

  78. Mosheiov G (1998) Vehicle routing with pick-up and delivery: Tour-partitioning heuristics. Comput Ind Eng 34:669–684

    Article  Google Scholar 

  79. Nagy G, Salhi S (2005) Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries. Eur J Oper Res 162:126–141

    Article  Google Scholar 

  80. Or I (1976) Traveling salesman-type combinatorial problems and their relation to the logistics of regional blood banking. Ph.D. thesis, Northwestern University, Evanston, IL

  81. Osman IH (1993) Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problems. Ann Oper Res 41:421–452

    Article  Google Scholar 

  82. Osman IH, Wassan NA (2002) A reactive tabu search metaheuristic for the vehicle routing problem with backhauls. J Sched 5:263–285

    Article  Google Scholar 

  83. Padberg M, Rinaldi G (1991) A branch-and-cut algorithm for the resolution of large-scale symmetric traveling salesman problems. SIAM Rev 33:60–100

    Article  Google Scholar 

  84. Potvin JY, Duhamel C, Guertin F (1996) A genetic algorithm for vehicle routing with backhauling. Appl Intell 6:345–355

    Article  Google Scholar 

  85. Potvin JY, Guertin F (1996) The clustered traveling salesman problem: A genetic approach. In: Osman IH, Kelly JP (eds) Meta-heuristics theory and applications. Kluwer, Boston, pp 619–631

    Google Scholar 

  86. Potvin JY, Rousseau JM (1995) An exchange heuristic for routeing problems with time windows. J Oper Res Soc 46:1433–1446

    Article  Google Scholar 

  87. Reimann M, Doerner K, Hartl RF (2002) Insertion based ants for vehicle routing problems with backhauls and time windows. In: Dorigo M, Di Caro G, Sampels M (eds) Ant Algorithms: Third InternationalWorkshop, ANTS 2002, Brussels, Belgium, 12–14 September 2002. Springer, Heidelberg-Berlin, pp 135–148

    Google Scholar 

  88. Reimann M, Ulrich H (2006) Comparing backhauling strategies in vehicle routing using ant colony optimization. Cent Eur J Oper Res 14:105–123

    Article  Google Scholar 

  89. Ropke S, Pisinger D (2006) A unified heuristic for a large class of vehicle routing problems with backhauls. Eur J Oper Res 171:750–775

    Article  Google Scholar 

  90. Salani M (2005) Branch-and-price algorithms for Vehicle Routing Problems. Ph.D. thesis, Universitá degli Studi di Milano, Facoltá die Scienze Matematiche, Fisiche e Naturali, Dipartimento di Tecnologie dell’Informatione, Milan, Italy

  91. Salhi S, Nagy G (1999) A cluster insertion heuristic for single and multiple depot vehicle routing problems with backhauling. J Oper Res Soc 50:1034–1042

    Article  Google Scholar 

  92. Shaw P (1998) Using constraint programming and local search methods to solve vehicle routing problems. In: Proceedings CP-98 (Fourth International Conference on Principles and Practice of Constraint Programming)

  93. Solomon M (1987) Algorithms for the vehicle routing problem with time windows. Oper Res 35:254–265

    Article  Google Scholar 

  94. Süral H, Bookbinder JH (2003) The single-vehicle routing problem with unrestricted backhauls. Networks 41:127–136

    Article  Google Scholar 

  95. Tang Montané FA, Galvão RD (2006) A tabu search algorithm for the vehicle routing problem with simultaneous pick-up and delivery service. Comput Oper Res 33:595–619

    Article  Google Scholar 

  96. Thangiah SR, Potvin JY, Sun T (1996) Heuristic approaches to vehicle routing with backhauls and time windows. Comput Oper Res 23:1043–1057

    Article  Google Scholar 

  97. Toth P, Vigo D (1996) A heuristic algorithm for the vehicle routing problem with backhauls. In: Bianco L, Thot P (eds) Advanced Methods in Transportation Analysis. Springer, Berlin, pp 585–608

    Google Scholar 

  98. Toth P, Vigo D (1997) An exact algorithm for the vehicle routing problem with backhauls. Transport Sci 31:372–385

    Article  Google Scholar 

  99. Toth P, Vigo D (1999) A heuristic algorithm for the symmetric and asymmetric vehicle routing problem with backhauls. Eur J Oper Res 113:528–543

    Article  Google Scholar 

  100. Toth P, Vigo D (2002a) An overview of vehicle routing problems. In: Toth P, Vigo D (eds) The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. vol. 9. SIAM, Philadelphia, pp 1–26

    Google Scholar 

  101. Toth P, Vigo D (2002b) VRP with backhauls. In: Toth P, Vigo D (eds) The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. vol. 9. SIAM, Philadelphia, PA, pp 195–224

    Google Scholar 

  102. Tzoreff TE, Granot D, Granot F, Sošić G (2002) The vehicle routing problem with pickups and deliveries on some special graphs. Discrete Appl Math 116:193–229

    Article  Google Scholar 

  103. van Breedam A (1995) Vehicle routing: Bridging the gap between theory and practice. JORBEL 35:63–80

    Google Scholar 

  104. van Breedam A (2001) Comparing descent heuristics and metaheuristics for the vehicle routing problem. Comput Oper Res 28:289–315

    Article  Google Scholar 

  105. van Breedam A (2002) A parametric analysis of heuristics for the vehicle routing problem with side-constraints. Eur J Oper Res 137:348–370

    Article  Google Scholar 

  106. Wade A, Salhi S (2004) An ant system algorithm for the mixed vehicle routing problem with backhauls. In: Metaheuristics: computer decision-making. Kluwer Academic Publishers, Norwell, MA, USA, pp 699–719

    Google Scholar 

  107. Wade AC, Salhi S (2002) An investigation into a new class of vehicle routing problem with backhauls. Omega 30:479–487

    Article  Google Scholar 

  108. Yano CA, Chan TJ, Richter LK, Cutler T, Murty KG, McGettigan D (1987) Vehicle routing at quality stores. Interfaces 17:52–63

    Article  Google Scholar 

  109. Zhong Y, Cole MH (2005) A vehicle routing problem with backhauls and time windows: A guided local search solution. Transport Res E-Log 41:131–144

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sophie N. Parragh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Parragh, S.N., Doerner, K.F. & Hartl, R.F. A survey on pickup and delivery problems . Journal für Betriebswirtschaft 58, 21–51 (2008). https://doi.org/10.1007/s11301-008-0033-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11301-008-0033-7

Keywords

Schlagworte

Navigation