Abstract
The multi-period fleet size and mix vehicle routing problem with stochastic demands is a new optimization problem that arises from the need to make strategic fleet sizing decisions while taking into consideration tactical planning and operational uncertainty. The setting is a distribution company that delivers goods to a set of customers and where the expected demand for different customers vary from period to period. The actual demand in a given period is stochastic, and is only revealed when visiting the customer. The objective is to minimize total expected costs, consisting of vehicle acquisition costs, routing costs, and the expected cost of route failures. Route failures occur when a vehicle arrives at a customer with an insufficient amount of goods, resulting in the need to refill the vehicle at the depot. The problem is formulated as a mixed integer programming problem. A heuristic for solving the problem is described and implemented, and a computational study is conducted on a set of varied test instances.
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References
Bertsimas DJ (1992) A vehicle routing problem with stochastic demand. Oper Res 40(3):574–585
Bianchi L, Birattari M, Chiarandini M, Manfrin M, Mastrolilli M, Paquete L, Rossi-Doria O, Schiavinotto T (2004) Metaheuristics for the vehicle routing problem with stochastic demands. In: International conference on parallel problem solving from nature. Springer, pp 450–460
Bianchi L, Birattari M, Chiarandini M, Manfrin M, Mastrolilli Monaldo, Paquete Luis, Rossi-Doria Olivia, Schiavinotto Tommaso (2006) Hybrid metaheuristics for the vehicle routing problem with stochastic demands. J Math Modell Alg 5(1):91–110
Dror M, Laporte G, Trudeau P (1989) Vehicle routing with stochastic demands: Properties and solution frameworks. Transp Sci 23(3):166–176
Francis PM, Smilowitz KR, Tzur M (2008) The period vehicle routing problem and its extensions. In: The vehicle routing problem: latest advances and new challenges. Springer, pp 73–102
Golden B, Assad A, Levy L, Gheysens F (1984) The fleet size and mix vehicle routing problem. Comput Oper Res 11(1):49–66
Gundegjerde C, Halvorsen IB, Halvorsen-Weare EE, Hvattum LM, Nonås Lars Magne (2015) A stochastic fleet size and mix model for maintenance operations at offshore wind farms. Transp Res Part C: Emerg Technol 52:74–92
Hoff A, Andersson H, Christiansen M, Hasle G, Løkketangen Arne (2010) Industrial aspects and literature survey: fleet composition and routing. Comput Oper Res 37(12):2041–2061
Kenyon AS, Morton DP (2001) A survey on stochastic location and routing problems. Central Eur J Oper Res 9:277–328
Laporte G, Louveaux FV, Hamme Van L (2002) An integer L-shaped algorithm for the capacitated vehicle routing problem with stochastic demands. Oper Res 50(3):415–423
Pantuso G, Fagerholt K, Hvattum LM (2014) A survey on maritime fleet size and mix problems. Eur J Oper Res 235(2):341–349
Pantuso G, Fagerholt K, Wallace SW (2015) Uncertainty in fleet renewal: a case from maritime transportation. Transp Sci 50(2):390–407
Pasha U, Hoff A, Hvattum LM (2016) Simple heuristics for the multi-period fleet size and mix vehicle routing problem. Inf Syst Oper Res INFOR:1–24
Ritzinger U, Puchinger J, Hartl RF (2016) A survey on dynamic and stochastic vehicle routing problems. Int J Prod Res 54(1):215–231
Teodorovic D, Krcmar-Nozic E, Pavkovic G (1995) The mixed fleet stochastic vehicle routing problem. Transp Plann Technol 19(1):31–43
Toth P, Vigo D (2002) The vehicle routing problem. Society for Industrial and Applied Mathematics. SIAM monographs on discrete mathematics and applications
Yang W-H, Mathur K, Ballou RH (2000) Stochastic vehicle routing problem with restocking. Transp Sci 34(1):99–112
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Pasha, U., Hoff, A., Hvattum, L.M. (2018). The Multi-period Fleet Size and Mix Vehicle Routing Problem with Stochastic Demands. In: Diez, P., Neittaanmäki, P., Periaux, J., Tuovinen, T., Bräysy, O. (eds) Computational Methods and Models for Transport. ECCOMAS 2015. Computational Methods in Applied Sciences, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-54490-8_9
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DOI: https://doi.org/10.1007/978-3-319-54490-8_9
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