Production Process Optimization of Metal Mines Considering Economic Benefit and Resource Efficiency Using an NSGA-II Model

Xun-hong, Wang; Gu, Xiaowei; Liu, Zaobao; Wang, Qing; Xu, Xiaochuan; Zheng, Minhui

doi:10.3390/pr6110228

Cited by 19 publications

(8 citation statements)

References 44 publications

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“…Productivity growth is a major driver of technology development, and the decline in social and environmental impacts is a positive side effect. According to I. Ramdoo: «The digitization of mining enterprises will further improve economic and environmental performance» [21].…”

Section: Methodsmentioning

confidence: 99%

Implementation of environmental principles of sustainable development in the mining region

Shavina

Prokofev

2020

E3S Web Conf.

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The extractive regions are experiencing both the economic problems associated with the depletion of the resource base and the relative development of other industries, as well as the environmental problems caused by the depletion of the bowels and the use of backward equipment. On the path of sustainable development, it is essential to envisage areas that can improve efficiency. The authors of the article highlighted two main areas: management and innovation. The first area is implemented by two approaches: authoritarian governance and multi-stakeholders’ initiatives (MSI). MSI is more effective, but at the same time only possible if there are developed and interested initiative participants. It allows us to discuss key issues together, as well as increases the degree of cooperation of companies in the regions. Voluntary initiatives have been made possible by increased attention to environmental issues and the transition to green mining. On the part of innovation, the authors note the importance of supporting them, as new technologies not only improve efficiency, but also reduce emissions and improve safety of working conditions. Encouraging innovation is possible both on the part of the companies themselves, which should be targeted assistance from the authorities, and through the mechanism of innovative vouchers, which result in practical and economically feasible technologies.

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Section: Methodsmentioning

confidence: 99%

Implementation of environmental principles of sustainable development in the mining region

Shavina

Prokofev

2020

E3S Web Conf.

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“…Equation (16) shows that at time t, the time for the workpiece Wp i to be transferred from the workstation of the stage Stage j to the public buffer is equal to the difference between the time for the workpiece Wp i to leave the workstation of stage Stage j at time t.…”

Section: Constraints Of the Public Buffermentioning

confidence: 99%

“…It creates the transfer scheduling problem of the workpiece between limited buffer and public buffer, which further increases the uncertainty of the scheduling result and the difficulty of resolving the scheduling problem [15]. Consequently, it is necessary to explore an effective scheduling method for the flexible flow shop scheduling problem with public buffer (FFSP-PB) due to its role in reducing the production blockage and improving the utilization of production resources [16,17]. Therefore, it is of great theoretical and engineering value to solve this problem.…”

Section: Introductionmentioning

confidence: 99%

Flexible Flow Shop Scheduling Method with Public Buffer

Han

Shao

et al. 2019

Processes

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Actual manufacturing enterprises usually solve the production blockage problem by increasing the public buffer. However, the increase of the public buffer makes the flexible flow shop scheduling rather challenging. In order to solve the flexible flow shop scheduling problem with public buffer (FFSP–PB), this study proposes a novel method combining the simulated annealing algorithm-based Hopfield neural network algorithm (SAA–HNN) and local scheduling rules. The SAA–HNN algorithm is used as the global optimization method, and constructs the energy function of FFSP–PB to apply its asymptotically stable characteristic. Due to the limitations, such as small search range and high probability of falling into local extremum, this algorithm introduces the simulated annealing algorithm idea such that the algorithm is able to accept poor fitness solution and further expand its search scope during asymptotic convergence. In the process of local scheduling, considering the transferring time of workpieces moving into and out of public buffer and the manufacturing state of workpieces in the production process, this study designed serval local scheduling rules to control the moving process of the workpieces between the public buffer and the limited buffer between the stages. These local scheduling rules can also be used to reduce the production blockage and improve the efficiency of the workpiece transfer. Evaluated by the groups of simulation schemes with the actual production data of one bus manufacturing enterprise, the proposed method outperforms other methods in terms of searching efficiency and optimization target.

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“…O'Sullivan and Newman [22] proposed an optimization heuristic algorithm to set a complex set of constraints based on an optimization algorithm in a mining operation model for an underground lead-zinc mine in Ireland. Wang et al [23] proposed a multi-objective optimization model formulation by taking the grade of mined and processed ore as the main constraint, maximizing mining returns and efficient use of natural resources as the objective function, and used a genetic algorithm to find the optimal solution to the multi-objective optimization problem. Nesbitt et al [24] considered the uncertainty faced in the economic value of minerals faced by mines with long operating cycles.…”

Section: Introductionmentioning

confidence: 99%

Mining Plan Optimization of Multi-Metal Underground Mine Based on Adaptive Hybrid Mutation PSO Algorithm

et al. 2022

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Mine extraction planning has a far-reaching impact on the production management and overall economic efficiency of the mining enterprise. The traditional method of preparing underground mine production planning is complicated and tedious, and reaching the optimum calculation results is difficult. Firstly, the theory and method of multi-objective optimization are used to establish a multi-objective planning model with the objective of the best economic efficiency, grade, and ore quantity, taking into account the constraints of ore grade fluctuation, ore output from the mine, production capacity of mining enterprises, and mineral resources utilization. Second, an improved particle swarm algorithm is applied to solve the model, a nonlinear dynamic decreasing weight strategy is proposed for the inertia weights, the variation probability of each generation of particles is dynamically adjusted by the aggregation degree, and this variation probability is used to perform a mixed Gaussian and Cauchy mutation for the global optimal position and an adaptive wavelet variation for the worst individual optimal position. This improved strategy can greatly increase the diversity of the population, improve the global convergence speed of the algorithm, and avoid the premature convergence of the solution. Finally, taking a large polymetallic underground mine in China as a case, the example calculation proves that the algorithm solution result is 10.98% higher than the mine plan index in terms of ore volume and 41.88% higher in terms of economic efficiency, the algorithm solution speed is 29.25% higher, and the model and optimization algorithm meet the requirements of a mining industry extraction production plan, which can effectively optimize the mine’s extraction plan and provide a basis for mine operation decisions.

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Production Process Optimization of Metal Mines Considering Economic Benefit and Resource Efficiency Using an NSGA-II Model

Cited by 19 publications

References 44 publications

Implementation of environmental principles of sustainable development in the mining region

Implementation of environmental principles of sustainable development in the mining region

Flexible Flow Shop Scheduling Method with Public Buffer

Mining Plan Optimization of Multi-Metal Underground Mine Based on Adaptive Hybrid Mutation PSO Algorithm

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