Ore-age: a hybrid system for assisting and teaching mining method selection

Guray, Cenk; Çelebi, Neşe; Atalay, Volkan; Pasamehmetoglu, A.Gunhan

doi:10.1016/s0957-4174(02)00154-9

Cited by 16 publications

(3 citation statements)

References 5 publications

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“…Nguyen et al presented a hybrid approach of the fuzzy ANP (Analytic Network Process) and COPRAS-G (Complex Proportional Assessment of Alternatives with Grey Relations) for fuzzy multiattribute decision-making with consideration of the interactions of the attributes [16]. To make mining method selection for the given ore bodies, Guray et al developed a system based on 13 different expert systems and one interface agent, in which an inexperienced user can enter the system to complete his/her missing knowledge about mining method selection [17].…”

Section: Findings Of Existing Researchmentioning

confidence: 99%

Selection of an Appropriate Mechanized Mining Technical Process for Thin Coal Seam Mining

Wang

2015

Mathematical Problems in Engineering

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Mechanized mining technical process (MMTP) related to the control method of the shearer is a vital process in thin coal seam mining operations. An appropriate MMTP is closely related to safety, productivity, labour intensity, and efficiency. Hence, the evaluation of alternative MMTP is an important part of the mining design. Several parameters should be considered in MMTP evaluation, so the evaluation is complex and must be compliant with a set of criteria. In this paper, two multiple criteria decision-making (MCDM) methods, Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), were adopted for this evaluation. Then, the most appropriate MMTP for a thin coal seam working face was selected in China.

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Section: Findings Of Existing Researchmentioning

confidence: 99%

Selection of an Appropriate Mechanized Mining Technical Process for Thin Coal Seam Mining

Wang

2015

Mathematical Problems in Engineering

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“…Type of ore body (thickness, shape), ore plunge, strength of ore and strength of walls Boshkov and Wright (1973) Ore width, strain energy accumulation Morrison (1976) Rock quality designation (RQD), joint spacing, joint condition (large scale irregularities, small scale irregularities or roughness, joint wall alteration zone, joint filling) and ground water Labscher (1981) General shape/width, ore thickness, plunge, depth below surface, grade distribution, rock substance strength (RSS) of ore zone and walls, RQD or fracture frequency of ore zone and walls, fracture shear strength of ore zone and walls Nicholas and Marek (1981), Nicholas (1993) Point load strength index of rock, uniaxial compressive strength of rock RQD, spacing of discontinuities, condition of discontinuities, ground water, floor position, methane (high, medium or low), cutting (hard or easy) and parting (soft or hard) Bandopadhyay and Vencata (1988) Ore type (shape and thickness), angle dip, rock strength, production, cave-ability, RQD, intact rock strength (IRS), joint spacing, joint condition (type and thickness of the fill, roughness of joint surface) and groundwater condition Mutagwaba and Terezopoulos (1994) General shape/width, ore thickness, plunge, depth below surface, grade distribution, rock mass rating (RMR) of ore zone and walls, rock substance strength (RSS) of ore and walls Miller et al (1995) General shape/width, ore thickness, deposit plunge, deposit Depth, rrade distribution, RMR of ore zone and walls, RSS of ore zone and walls Clayton et al (2002) Depth, ore and rock strength and geometry (shape, plunge, thickness and size) Hartman and Mutmansky (2002) Ore grade, shape of ore-body, rock stability, ore body stability, ore body angle, production, cost, efficiency, recovery and dilution Yiming et al (2003) General shape/width, ore thickness, plunge, depth below surface, grade distribution, RSS of ore zone and walls, RQD or fracture frequency of ore zone and walls, fracture shear strength of ore zone and walls, capital cost, operating cost, productivity, boundary condition, ore grade, surface subsidence, spontaneous combustion and lake presence Guray et al (2003) Ore grade, shape of ore-body, rock stability, ore body stability, ore body angle, mining productivity, ratio of ore dilution, ratio of ore loss, mining ratio, mining efficiency, consumption of dynamite and consumption of timber Yiming et al (2004) Thickness, dip, shape, RSS of ore and walls, RMR of ore and walls, depth, grade distribution, subsidence, technology, recovery and ore uniformity Bitarafan and Ataei (2004) Geometric shape of the deposit, thickness, deposit inclination, depth, soundness degree of ore and walls, contact state of the ore and walls, subsidence effect, roof support, settlement area, combustion, methane existence, ground water, mining cost, capital cost, production ratio and labour cost Bascetin et al (2006) Geometric shape, thickness, seam...…”

Section: Attributes/criteria Applied By Authors (Year)mentioning

confidence: 99%

FMMSIC: a hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria)

Namin

Shahriar

Başçetin

et al. 2012

Journal of the Operational Research Society

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One of the main tasks in exploitation of ore-body is to select a suitable mining method. In mining method selection (MMS) problems, a decision procedure has to choose the best exploitation method that satisfies the evaluation criteria. It is generally hard to find a mining method that meets all the criteria simultaneously, therefore a good compromise solution is preferred as the final selection. Furthermore, the MMS problem is an inherently uncertain activity. To deal with the uncertainty, this paper presents an hybrid decision support system based on the fuzzy multi attribute decision making, named the fuzzy mining method selection with interrelation criteria (FMMSIC). FMMSIC models the relative weights of criteria by combining the fuzzy analytic network process and fuzzy entropy, and discusses using these hybrid techniques to determine the overall weights. Subsequently, the technique for order preference by similarity to an ideal solution method was modified by various normalization norms according to the MMS problem condition. Finally, to illustrate how the FMMSIC is used for the MMS problems, an empirical study of a real case is conducted. It shows by means of an application that the FMMSIC is well suited as a decision support system for the MMS.

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“…system (1995), a similar expert system was developed (Bakhtavar et al 2009b). According to the study of Guray et al (2003) which concerned the Nicholas system (1981) and based on a number of expert systems and one interface agent, a new expert system was achieved. In this system, the intuitive knowledge and judgment of the expert users or in other words "experienced engineers" can be directly added to the databases of the virtual experts.…”

Section: Introductionmentioning

confidence: 99%

Methodology for underground mining method selection

Mijalkovski¹,

Peltechki²,

Despodov³

et al. 2021

Mining Scince

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The mining method selection for underground mining is one of the most important decisions when designing a mine. This selection depends on the mining-geological, mining-technical and economic factors. The mining method selection for underground mining can be described as a multi-criteria decision-making process, as several factors are involved in the selection process. In this paper, a methodology for rational and optimal mining method selection for underground mining of metallic mineral resources has been developed. First, a rational selection of the four best-ranked mining methods for underground mining is performed using numerical methods (Nicholas' approach and the modified approach of Nicholas, i.e., UBC selection of mining method). This is followed by the optimal selection of underground mining method using multi-criteria decision-making methods (ELECTRE, PROMETHEE, AHP, and integrated AHP-PROMETHEE) and by comparing the obtained rankings, the optimal mining method is selected.

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Ore-age: a hybrid system for assisting and teaching mining method selection

Cited by 16 publications

References 5 publications

Selection of an Appropriate Mechanized Mining Technical Process for Thin Coal Seam Mining

Selection of an Appropriate Mechanized Mining Technical Process for Thin Coal Seam Mining

FMMSIC: a hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria)

Methodology for underground mining method selection

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