Geo-environmental factors’ influence on mining operation: an indirect effect of managerial factors

Mishra, Padma Charan; Panigrahi, Rashmi Ranjan; Shrivastava, Avinash K.

doi:10.1007/s10668-023-03211-2

Cited by 7 publications

(4 citation statements)

References 84 publications

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“…In this case, the amount of waste material in the deposit and the energy consumption of mining equipment (including transportation and processing equipment) influence variable costs, similar to in the work by Mishra, P.C. et al [38]. This influence may result in a reduction in the environmental factor in the form of a lower volume of heap masses (less environmental degradation).…”

Section: Methodsmentioning

confidence: 72%

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Empirical Analysis of Mining Costs Amid Energy Price Volatility for Secondary Deposits in Quarrying

Patyk,

Bodziony

2024

Energies

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The outlined methodology for calculating operating costs in open-cast mines and quarries not only facilitates the selection of optimal mining equipment and systems for working lower-grade secondary deposits but also adds significant value in navigating the challenges of fluctuating prices of energy carriers and fuels. Moreover, the study rigorously assesses the impact of mining operations on the performance of deployed mining equipment and the overall viability of the rock mining project. The selection procedure relies on a comprehensive analysis of the technical and economic parameters of selected solutions, providing critical insights to guide decisions regarding the continuation or discontinuation of mining operations. We analyse, based on empirical data, the technical and economic parameters of several variants of mining equipment to be used for the extraction of rocks and stones from secondary deposits in conditions of fluctuation depending on the level of energy prices, in order to find the best configuration in terms of operating costs and potential revenue. In addition to analysing the structure of operating costs, the article presents their correlation with the required profit from the sale of raw materials using the linear correlation method. The results clearly demonstrate the economic viability of mining secondary deposits, taking into account the actual costs incurred by mining companies.

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Section: Methodsmentioning

confidence: 72%

“…[37] described the impact of cost variability on a mining project. Meanwhile, Mishra, P. C. et al [38] described the impact of various factors on the performance of mining operations. Uberman, R. [39] and Mancini, S. et al [40] wrote about the demand for recycled raw materials and secondary deposits in the EU.…”

Section: Introductionmentioning

confidence: 99%

Empirical Analysis of Mining Costs Amid Energy Price Volatility for Secondary Deposits in Quarrying

Patyk,

Bodziony

2024

Energies

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“…There are different industries such as mining industry that their operations span the globe and constitute a cornerstone of numerous industrial sectors (Tausova et al, 2017). The enduring productivity in such industries has raised concerns, prompting the exploration of factors sustaining this phenomenon (Humphreys, 2020;Mishra et al, 2023). Analogous to other manufacturing sectors, these industries necessitates a rigorous focus on productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

How to Nudge towards Continuous Sustainable Improvement: The ABCs of Productivity Award

Mohammadian,

Pishdar,

Matin

2024

Preprint

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This study addresses the redesign of a productivity award in the value chain, aiming to provide a comprehensive strategic framework for organizations dedicated to excellence. A notable challenge is identified in the absence of industry-specific models tailored to sector characteristics. In response, the ABCs of Productivity Award is introduced to catalyze sustainable continual improvement in value chains. The research utilizes methodological synthesis, incorporating a comprehensive case analysis across three structured phases. The first phase explores key success factors and conducts a methodical comparative assessment of the current productivity evaluation system against international and national models. This phase lays the foundational bedrock for enhancements in the next phase, involving different focus group deliberations. Informed by insights from the investigative phase, these sessions contribute to preliminary adjustments, forming a blueprint for transformative development. The third phase encompasses a diligent tripartite validation process, involving qualitative, quantitative, and pilot study components. The culmination reveals the scientific meticulous construction of the ABCs of Productivity Award, could be benchmarked in every single industry to create sustainable value while considering various issues that involve different stakeholders. This methodology has been applied to develop national award of Iran’ mining industry and the potential deficits are adjusted in this way and make it efficacious for benchmarking.

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“…ML efficacy [17] is our metric, which indicates the accuracy of the model whose training set is the shared data and tested on the original sensitive dataset.…”

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confidence: 99%

Privacy-preserving multiparty power data sharing based on generative adversarial network

wang,

Liu,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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With the rapid proliferation of smart grid technologies, a large amount of fine-grained power data records have been collected and stored by different parties (e.g., the power supply bureau). Pooling together the records held by the parties makes mining the data value, and therefore promises enhanced energy management and efficiency. Despite the benefits of sharing these data, it also raises concerns about data privacy and security. To this end, we present a novel approach for privacy-preserving cross-party power data sharing approach in light of the Generative Adversarial Network (named PowerGAN), which enables the involved parties to construct a shared dataset without compromising the privacy of these parties. In PowerGAN, a centralized curator is assigned a generator, while each party possesses a discriminator. The key idea of PowerGAN is to let data holders jointly train the generator held by the centralized server. In addition, to prevent the curator from inferring sensitive data about the parties, we designed a privacy-preserving RMSProp (Root Mean Square Propagation) optimizer. Furthermore, we design a dynamic noise perturbation method, which dynamically tunes the noise to further promote the utility of the final shared data. Through comprehensive privacy analysis, we show that our PowerGAN approach provides strict privacy protection. Evaluations of real-world datasets show the effectiveness of PowerGAN in addressing the privacy concerns associated with multi-party power data sharing.

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Geo-environmental factors’ influence on mining operation: an indirect effect of managerial factors

Cited by 7 publications

References 84 publications

Empirical Analysis of Mining Costs Amid Energy Price Volatility for Secondary Deposits in Quarrying

Empirical Analysis of Mining Costs Amid Energy Price Volatility for Secondary Deposits in Quarrying

How to Nudge towards Continuous Sustainable Improvement: The ABCs of Productivity Award

Privacy-preserving multiparty power data sharing based on generative adversarial network

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