A scenario-based planning for the pickup and delivery problem with time windows, scheduled lines and stochastic demands

Veaceslav Ghilas, Emrah Demir and Tom Van Woensel

Transportation Research Part B: Methodological, 2016, vol. 91, issue C, 34-51

Abstract: The Pickup and Delivery Problem with Time Windows, Scheduled Lines and Stochastic Demands (PDPTW-SLSD) concerns scheduling a set of vehicles to serve a set of requests, whose expected demands are known in distribution when planning, but are only revealed with certainty upon the vehicles’ arrival. In addition, a part of the transportation plan can be carried out on limited-capacity scheduled public transportation line services. This paper proposes a scenario-based sample average approximation approach for the PDPTW-SLSD. An adaptive large neighborhood search heuristic embedded into sample average approximation method is used to generate good-quality solutions. Computational results on instances with up to 40 requests (i.e., 80 locations) reveal that the integrated transportation networks can lead to operational cost savings of up to 16% compared with classical pickup and delivery systems.

Keywords: Freight transportation; Pickup and delivery problem; Scheduled lines; Stochastic demands; Heuristic algorithm (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (25)

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DOI: 10.1016/j.trb.2016.04.015

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