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Vehicle routing and scheduling problems Data Set
Download: Data Folder, Data Set Description

Abstract: Data collection was conducted through notes taken during the distribution of orders in a courier company that operates in the region and in the city of São Paulo (Brazil).

Data Set Characteristics:  

Multivariate

Number of Instances:

18

Area:

Business

Attribute Characteristics:

Integer, Real

Number of Attributes:

9

Date Donated

2019-10-07

Associated Tasks:

Clustering

Missing Values?

N/A

Number of Web Hits:

184


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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