Simulation-based robust optimization for complex truck-shovel systems in surface coal mines

Sai Srinivas Nageshwaraniyer, Young-Jun Son, Sean D Dessureault

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

5 Citations (Scopus)

Abstract

A robust simulation-based optimization approach is proposed for truck-shovel systems in surface coal mines to maximize the expected value of revenue obtained from customer trains. To this end, a large surface coal mine in North America is considered as case study, and a highly detailed simulation model of that mine is constructed in Arena. Factors encountered in material handling operations that may affect the robustness of revenue are then classified into 1) controllable, 2) uncontrollable and 3) constant categories. Historical production data of the mine is used to derive probability distributions for the uncontrollable factors. Then, Response Surface Methodology is applied to derive an expression for the variance of revenue under the influence of controllable and uncontrollable factors. The resulting variance expression is applied as a constraint to the mathematical formulation for optimization using OptQuest. Finally, coal production is observed under variation in number of trucks and down events.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
Pages3522-3532
Number of pages11
DOIs
StatePublished - 2013
Event2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 - Washington, DC, United States
Duration: Dec 8 2013Dec 11 2013

Other

Other2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
CountryUnited States
CityWashington, DC
Period12/8/1312/11/13

Fingerprint

Simulation-based Optimization
Robust Optimization
Coal mines
Trucks
Response Surface Methodology
Materials Handling
Materials handling
Expected Value
Probability distributions
Simulation Model
Probability Distribution
Customers
Maximise
Coal
Robustness
Optimization
Formulation

ASJC Scopus subject areas

  • Modeling and Simulation

Cite this

Nageshwaraniyer, S. S., Son, Y-J., & Dessureault, S. D. (2013). Simulation-based robust optimization for complex truck-shovel systems in surface coal mines. In Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 (pp. 3522-3532). [6721714] https://doi.org/10.1109/WSC.2013.6721714

Simulation-based robust optimization for complex truck-shovel systems in surface coal mines. / Nageshwaraniyer, Sai Srinivas; Son, Young-Jun; Dessureault, Sean D.

Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013. 2013. p. 3522-3532 6721714.

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

Nageshwaraniyer, SS, Son, Y-J & Dessureault, SD 2013, Simulation-based robust optimization for complex truck-shovel systems in surface coal mines. in Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013., 6721714, pp. 3522-3532, 2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013, Washington, DC, United States, 12/8/13. https://doi.org/10.1109/WSC.2013.6721714
Nageshwaraniyer SS, Son Y-J, Dessureault SD. Simulation-based robust optimization for complex truck-shovel systems in surface coal mines. In Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013. 2013. p. 3522-3532. 6721714 https://doi.org/10.1109/WSC.2013.6721714
Nageshwaraniyer, Sai Srinivas ; Son, Young-Jun ; Dessureault, Sean D. / Simulation-based robust optimization for complex truck-shovel systems in surface coal mines. Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013. 2013. pp. 3522-3532
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