Truck assignment performance evaluation by using data mining techniques

M. Yildirim, Sean D Dessureault

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Real-time in-pit truck allocation (dispatch) systems have been used in the mining industry to improve the performance of truck-shovel operations. These systems also produce data that is traditionally used to generate production reports and ultimately production rates. Modern systems are generating increasingly more data however; these quantities are becoming larger than can be feasibly analyzed by humans. These 'data rich, information poor' issues have been addressed in other industries through the use of data mining. Data mining is set of new and old analysis tools that find patterns and relationships in data. This paper describes research that involves the detailed analysis of historical truck allocation records. The analyses included determining how the trucks performed under particular conditions and allocation systems. The long-term benefits of this work are to identify strengths and improvement opportunities in truck assignment systems, develop more complex haulage performance metrics, and to establish the skill sets and IT infrastructure needed to undertake more complex data-driven technology such as a truck dispatcher trainer.

Original languageEnglish (US)
Title of host publicationApplication of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005
Pages95-100
Number of pages6
StatePublished - 2005
Event32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005 - Tucson, AZ, United States
Duration: Mar 30 2005Apr 1 2005

Other

Other32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005
CountryUnited States
CityTucson, AZ
Period3/30/054/1/05

Fingerprint

data mining
Trucks
Data mining
haulage
mining industry
Mineral industry
infrastructure
evaluation
industry
allocation
Industry
analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Geochemistry and Petrology

Cite this

Yildirim, M., & Dessureault, S. D. (2005). Truck assignment performance evaluation by using data mining techniques. In Application of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005 (pp. 95-100)

Truck assignment performance evaluation by using data mining techniques. / Yildirim, M.; Dessureault, Sean D.

Application of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005. 2005. p. 95-100.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yildirim, M & Dessureault, SD 2005, Truck assignment performance evaluation by using data mining techniques. in Application of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005. pp. 95-100, 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005, Tucson, AZ, United States, 3/30/05.
Yildirim M, Dessureault SD. Truck assignment performance evaluation by using data mining techniques. In Application of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005. 2005. p. 95-100
Yildirim, M. ; Dessureault, Sean D. / Truck assignment performance evaluation by using data mining techniques. Application of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005. 2005. pp. 95-100
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