Source:

Creators original owner and donors: Ricardo Pinto Ferreira (1), Aleister Ferreira (2) Arthur Ferreira (3) Andrea Martiniano (4) and Renato Jose Sassi (5).

E-mail address:
log.kasparov'@'gmail.com (1) - Doctor;
aleisterferreira'@'hotmail.com (2) - student;
Arthur.ferreira'@'usp.com.br (3) - student;
andrea.martiniano'@'gmail.com (4) - PhD student;
sassi'@'uni9.pro.br (5) - Prof. Doctor.

Universidade Nove de Julho - Postgraduate Program in Informatics and Knowledge Management.

Address: Rua Vergueiro, 235/249 Liberdade, Sao Paulo, SP, Brazil. Zip code: 01504-001.
Website: http://www.uninove.br/curso/informatica-e-gestao-do-conhecimento/

Data Set Information:

The attributes are the number of crew members, form of cargo stowage/transshipment (manual or mechanized/palletized), service difficulty (waiting time, identification of delivery person, etc.), distance from the depot in kilometers, average monthly cargo, average daily per point, average number of volumes transported per day, average vehicle occupation (%), and the type of vehicle used. The data set (Vehicle routing and scheduling problems) was used in academic research at the Universidade Nove de Julho - Postgraduate Program in Informatics and Knowledge Management.

Attribute Information:

1. Number of crew members
2. Form of cargo stowage/transshipment (manual = 1 or mechanized/palletized = 2)
3. Service difficulty (waiting time, identification of delivery person, etc.) - (low service difficulty = 1; 2, 3 and 4 intermediate; high service difficulty = 5)
4. Distance from the depot in kilometers
5. Average monthly cargo
6. Average daily per point
7. Average number of volumes transported per day (box)
8. Average vehicle occupation (%)
9. Type of vehicle (Up to 0.7 tons of capacity = 1; Up to 1.5 tons of capacity; Up to 3 tons of capacity).

Relevant Papers:

N/A

Citation Request:

Universidade Nove de Julho and Brazilian Navy.

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