Assessment of sustainable development of hard coal mining industry in Poland with use of bootstrap sampling and copula-based Monte Carlo simulation

Kopacz, Michał; Kryzia, Dominik; Majcherczyk, T.

doi:10.1016/j.jclepro.2017.05.038

Cited by 43 publications

(22 citation statements)

References 44 publications

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“…The policy of selected leaders in the mining industry in Poland is an example of promoting good practices within the corporate responsibility of enterprises. Also, developing an integrated model and assess the level of sustainable development of hard coal mining industry has been suggested [20,21]. Abandoned mine areas using renewable energy systems at the tailings dam of the abandoned Sangdong Mine of Korea is an example of a sustainable development project [22].…”

Section: Introductionmentioning

confidence: 99%

The Status of the Local Community in Mining Sustainable Development beyond the Triple Bottom Line

et al. 2018

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Abstract:Mineral products provide essential fuels and raw materials for industrialization and our daily life, but their influences on other aspects of life need to be taken into consideration. While the whole world benefits from mining's contributions, most of the resulting detrimental impacts on the environment and society fall on the local communities. The participation of the local community is one solution to decrease the risks from community-related problems. Subsequently, the requirements of mining sustainable development can be met. A literature review was conducted on mining sustainability and stakeholder participation, and the shortcomings of existing research and difficulties of further study were discussed in detail. This study covers a broad understanding of mining sustainability from a mining community's perspective. In addition, it offers a new mining sustainability scope based on the literature review. Besides the balance of economic, environmental, and social aspects, the mine owner and local community have to be engaged in the new mining sustainability scope. This literature review could improve community engagement and help mining companies to better understand local mining communities.

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Section: Introductionmentioning

confidence: 99%

The Status of the Local Community in Mining Sustainable Development beyond the Triple Bottom Line

et al. 2018

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“…The index value is determined by the sum of the weights and normalised values of each category (Mansourianfar & Haghshenas, 2018). Kopacz, Kryzia, and Kryzia (2017) or Rajnoha, Lesníková, and Krajčík (2017) also used the analytical hierarchical process method. Staňková and Zapletal as well as Liern a Pérez-Gladish (2018) extended the method by the unconventional linguistic models and fuzzy logic.…”

Section: Indices Using the Selected Multi-criteria Decision-making Mementioning

confidence: 99%

“…For example, Rodrigues et al (2018) adopted a rule according to which only the category that can be further divided can be considered the category. Kopacz, Kryzia and Kryzia (2017) admit that they chose the content of the categories in such a way that the values were easily identifiable and the total number of included (sub)categories was not too large.…”

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confidence: 99%

Construction and Significance of Corporate Social Responsibility Indices – from Results to the Essence

et al. 2020

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Background and Purpose: Regular reporting on Corporate Social Responsibility (hereinafter referred to as CSR) should make it easier for enterprises to identify the sustainability risks and lead to an increased investors and consumers’ confidence. The aim of the paper is to find out how the indices which evaluate the socially responsible behaviour of enterprises are constructed.Design/Methodology/Approach: The scoping review is the method used in this study. The scoping question is: What do we know about the construction of indices evaluating the socially responsible behaviour of organisations from the existing expert resources?Results: The analysis of 20 papers shows that there is no consensus about the method of determining the weights and constructing the index. There are 4 approaches to the aggregated index construction. The first one uses the percentage of filling the specific criteria or the average of values of specific dimensions of the index. The second one uses the multi-criteria decision-making methods (most often the Analytical hierarchical process method). The third one uses unconventional linguistic models and fuzzy logic and finally, the fourth one uses the factor analysis or the method of the main components.Conclusion: The main feature of CSR indices lies in their methodological disunity. It complicates the understanding of the CSR outputs and essentially makes it impossible to create a CSR performance ranking, especially for small and medium-sized enterprises (hereinafter referred to as SMEs).

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“…Hence, the number of samples of the experimental work will be reduced due to sufficient sample of data from the bootstrap resampling method. The bootstrap resampling method is generated by replicating the data and evaluating its accuracy in statistical method [42][43][44] and producing a uniform resampling process [45].…”

Section: Introductionmentioning

confidence: 99%

Fatigue crack growth analysis using Bootstrap S-version finite element model

Husnain

Akramin

Chuan

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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The objective of this paper was to predict the fatigue life, surface crack and initial flaw size distribution of fatigue surface crack growth. A statistical analysis is carried out to evaluate the distributions of initial flaw size as an input uncertain parameter. The prediction of remaining life to schedule the maintenance is important to prevent serious accidents from occurring. The three-point and four-point bendings are analysed using the Bootstrap S-version finite element model (BootstrapS-FEM) whereby the bootstrap resampling method is embedded into S-version finite element model. The validation process is conducted between the predictions, deterministic and previous experimental results. The BootstrapS-FEM with lognormal distribution shows a more accurate trend against normal distribution based on the coefficient of determination, normalised root-mean-square error and mean absolute percentage error. The prediction of fatigue life for three-point and four-point bendings by BootstrapS-FEM was well compared with previous experimental results within range from 5 to 17% of percentage errors. These errors were acceptable to the purpose of prediction which are less than 20%. The uncertainties in structural components are considered by the upper and lower bounds in probabilistic analysis. The BootstrapS-FEM results show a better agreement with previous experimental results and deterministic solutions. Initial flaw size distributions are evaluated to prior scheduled inspection for the prevention of a catastrophic failure. The risk of a catastrophic failure can be evaluated based on the initial crack size distribution and specified fatigue life for ensuring safety and reliability of the fatigue crack structures. Keywords Fatigue • Crack growth • S-version finite element model • Bootstrap resampling method • Probabilistic analysis List of symbols a Initial crack depth B n Bootstrap samples c Initial crack length C Paris coefficient c C I Constant of VCCM c cr Critical crack length da Crack growth increment da∕dN Crack growth rate E Young's modulus of elasticity G Total Total energy release rate G I,II,III Energy release rate for mode I, II and III i Number of nodes along the crack tip K I,II,III Stress intensity factor for mode I, II and III n Fatigue power parameter N, n Sample size P I i

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Assessment of sustainable development of hard coal mining industry in Poland with use of bootstrap sampling and copula-based Monte Carlo simulation

Cited by 43 publications

References 44 publications

The Status of the Local Community in Mining Sustainable Development beyond the Triple Bottom Line

The Status of the Local Community in Mining Sustainable Development beyond the Triple Bottom Line

Construction and Significance of Corporate Social Responsibility Indices – from Results to the Essence

Fatigue crack growth analysis using Bootstrap S-version finite element model

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