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A context-dependent undesirable output data envelopment analysis (DEA) model, designed to be sensitive to business context, is then tested on a simulated set of fleet profiles.
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The algorithm is able to detect the set of products (sub-fleet of products) showing highest degradation pattern similarity with the one under study and exploits the related monitoring data for a reliable prediction of the RUL.
The objective is to determine an optimal set of routes by a fleet of identical vehicles to serve these customers.
We consider a production-distribution system, where a facility produces one commodity which is distributed to a set of retailers by a fleet of vehicles.
The vehicle routing problem (VRP) consists of the problems in which a set of routes for a fleet of vehicles based at one or several depots must be determined for a number of geographically dispersed cities or customers.
The vehicle routing problem with general soft time window involves designing a set of routes for a fleet of vehicles based at a central depot that is required to service a number of geographically dispersed customers while minimizing the total travel distance and delivery time costs.
The classical vehicle routing problem involves designing a set of routes for a fleet of vehicles based at one central depot that is required to serve a number of geographically dispersed customers, while minimizing the total travel distance or the total distribution cost.
The problem is to design a set of routes for vehicle fleets servicing pickup and delivery nodes with defined demands and time windows to achieve the minimum transportation and fixed costs.
The objective is to design a set of trips for a homogeneous fleet of vehicles based at a depot node which minimizes the total transportation cost.
The two-echelon vehicle routing problem (2E-VRP) consists in making deliveries to a set of customers using two distinct fleets of vehicles.
Given a PICAV fleet and a set of thresholds the related cost function value is assessed by micro-simulation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com