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A unified model framework for the multi-attribute consistent periodic vehicle routing problem.


ABSTRACT: Modeling real-life transportation problems usually require the simultaneous incorporation of different variants of the classical vehicle routing problem (VRP). The periodic VRP (PVRP) is a classical extension in which routes are determined for a planning period of several days and each customer has an associated set of allowable visit schedules. This work proposes a unified model framework for PVRP that consists of multiple attributes or variants not previously addressed simultaneously, such as time-windows, time-dependence, and consistency -which guarantees the visits to customer by the same vehicle-, together with three objective functions that respond to the needs of practical problems. The numerical experimentation is focused on the effects of three factors: frequency, depot centrality, and the objective function on the performance of a general-purpose MILP solver, through the analysis of the achieved relative gaps. Results show higher sensitivity to the objective functions and to the problem sizes.

SUBMITTER: Baldoquin MG 

PROVIDER: S-EPMC7398502 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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A unified model framework for the multi-attribute consistent periodic vehicle routing problem.

Baldoquin Maria Gulnara MG   Martinez Jairo A JA   Díaz-Ramírez Jenny J  

PloS one 20200803 8


Modeling real-life transportation problems usually require the simultaneous incorporation of different variants of the classical vehicle routing problem (VRP). The periodic VRP (PVRP) is a classical extension in which routes are determined for a planning period of several days and each customer has an associated set of allowable visit schedules. This work proposes a unified model framework for PVRP that consists of multiple attributes or variants not previously addressed simultaneously, such as  ...[more]

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