Data set for the crew scheduling and routing problem in road restoration

Published: 21 September 2022| Version 1 | DOI: 10.17632/r33tshd53t.1
Contributors:
Alfredo Moreno,
Pablo Andres Maya-Duque,
Douglas Alem,
Pedro Munari

Description

This dataset contains instances that can be used to validate and test the crew scheduling and routing problem (CSRP) in road restoration and some variants. The dataset includes two main types of instances: synthetic (randomly generated) and real-world inspired ones. Synthetic instances were obtained by means of a network generator based on the widely used NETGEN generator. Real-world inspired instances were produced based on data gathered from a series of open data sources and documents.

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Institutions

Universidade Federal de Sao Carlos Departamento de Engenharia de Producao, Universidad de Antioquia, The University of Edinburgh Business School

Categories

Operations Research, Vehicle Routing Problem, Disaster Management, Humanitarian Operations

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