Standard

Simulation-based optimization approach for material dispatching in continuous mining systems. / Shishvan, Masoud Soleymani; Benndorf, Jörg.

In: European Journal of Operational Research, Vol. 275, No. 3, 16.06.2019, p. 1108-1125.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

BibTeX

@article{43ebc456b403483b850b6b0535803452,
title = "Simulation-based optimization approach for material dispatching in continuous mining systems",
abstract = "This paper examines a problem related to dispatching materials to spreaders in coal (lignite) mines operated under the paradigm of continuously excavated material flow. In the considered particular case, complexity arises from different material types of overburden to be placed on the dump site in pre-defined patterns that guarantee geotechnical safety. These types include wet, semi-wet and dry material, which are accessed on the excavation site according to the geological deposition and the mining plan. Controlling of the dispatch system has to take into account the extraction sequence and geological stratification on the excavation site and the available dump space per material on the dumping site. With eight excavators on the excavation site and seven spreaders on the dump site the problem is already complex, having not stated yet that random breakdowns may make some options temporarily unavailable. To optimize the dispatch system in terms of minimum idle time due to unavailability of dumping space, a new multi-stage simulation-based optimization approach is proposed. This approach consists of running alternatingly a deterministic optimization model and a stochastic simulation model. It combines simulation and algorithms to solve a transportation problem and a job-shop scheduling problem. The proposed approach is tested on a large continuous mine under given different dumping sequences, and results are reported. The merits and limitations of the proposed approach as pinpointed and farsighted operations management are discussed.",
keywords = "Material dispatching, Opencast coal mining, OR in natural resources, Short-term scheduling, Simulation-based optimization",
author = "Shishvan, {Masoud Soleymani} and J{\"o}rg Benndorf",
year = "2019",
month = "6",
day = "16",
doi = "10.1016/j.ejor.2018.12.015",
language = "English",
volume = "275",
pages = "1108--1125",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "3",

}

RIS

TY - JOUR

T1 - Simulation-based optimization approach for material dispatching in continuous mining systems

AU - Shishvan, Masoud Soleymani

AU - Benndorf, Jörg

PY - 2019/6/16

Y1 - 2019/6/16

N2 - This paper examines a problem related to dispatching materials to spreaders in coal (lignite) mines operated under the paradigm of continuously excavated material flow. In the considered particular case, complexity arises from different material types of overburden to be placed on the dump site in pre-defined patterns that guarantee geotechnical safety. These types include wet, semi-wet and dry material, which are accessed on the excavation site according to the geological deposition and the mining plan. Controlling of the dispatch system has to take into account the extraction sequence and geological stratification on the excavation site and the available dump space per material on the dumping site. With eight excavators on the excavation site and seven spreaders on the dump site the problem is already complex, having not stated yet that random breakdowns may make some options temporarily unavailable. To optimize the dispatch system in terms of minimum idle time due to unavailability of dumping space, a new multi-stage simulation-based optimization approach is proposed. This approach consists of running alternatingly a deterministic optimization model and a stochastic simulation model. It combines simulation and algorithms to solve a transportation problem and a job-shop scheduling problem. The proposed approach is tested on a large continuous mine under given different dumping sequences, and results are reported. The merits and limitations of the proposed approach as pinpointed and farsighted operations management are discussed.

AB - This paper examines a problem related to dispatching materials to spreaders in coal (lignite) mines operated under the paradigm of continuously excavated material flow. In the considered particular case, complexity arises from different material types of overburden to be placed on the dump site in pre-defined patterns that guarantee geotechnical safety. These types include wet, semi-wet and dry material, which are accessed on the excavation site according to the geological deposition and the mining plan. Controlling of the dispatch system has to take into account the extraction sequence and geological stratification on the excavation site and the available dump space per material on the dumping site. With eight excavators on the excavation site and seven spreaders on the dump site the problem is already complex, having not stated yet that random breakdowns may make some options temporarily unavailable. To optimize the dispatch system in terms of minimum idle time due to unavailability of dumping space, a new multi-stage simulation-based optimization approach is proposed. This approach consists of running alternatingly a deterministic optimization model and a stochastic simulation model. It combines simulation and algorithms to solve a transportation problem and a job-shop scheduling problem. The proposed approach is tested on a large continuous mine under given different dumping sequences, and results are reported. The merits and limitations of the proposed approach as pinpointed and farsighted operations management are discussed.

KW - Material dispatching

KW - Opencast coal mining

KW - OR in natural resources

KW - Short-term scheduling

KW - Simulation-based optimization

UR - http://www.scopus.com/inward/record.url?scp=85059941514&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2018.12.015

DO - 10.1016/j.ejor.2018.12.015

M3 - Article

VL - 275

SP - 1108

EP - 1125

JO - European Journal of Operational Research

T2 - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 3

ER -

ID: 51491797