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This paper discusses the multi-depot, multi-vehicle-type bus scheduling problem (MDVSP), involving multiple depots for vehicles and different vehicle types for timetabled trips.
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Here, we propose a fuzzy mathematical programming model for a supply chain which considers multiple depots, multiple vehicles, multiple products, multiple customers, and different time periods.
However, MDVRP is a problem for specifying the routes in which a set of customers are served by several vehicles from multiple depots.
We establish a mathematical model for multi-owner VRP in which each owner (i.e. player) manages single or multiple depots.
In this study, we develop a fuzzy bilevel programming model for minimizing the total expected transportation risk when delivering products of hazardous materials to customers from multiple depots.
For more realism, we assume that service as well as travel times are stochastic and also that there are multiple depots.
Karakati and Podgorelec (2014) optimized an extension of the classical VRP by adding multiple depots.
The generalized multiple depot traveling salesmen problem (GMDTSP) is a variant of the multiple depot traveling salesmen problem (MDTSP), where each salesman starts at a distinct depot, the targets are partitioned into clusters and at least one target in each cluster is visited by some salesman.
The multiple-depot vehicle-type scheduling problem (MDVTSP) is an extension of the classic multiple-depot vehicle scheduling problem (MDVSP), where heterogeneous fleet is considered.
In this paper we propose various neighborhood search heuristics (VNS) for solving the location routing problem with multiple capacitated depots and one uncapacitated vehicle per depot.
Instead, they now serve as depots for the transfer of garbage bound for landfills.
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