Academic literature on the topic 'Mining supply chain'

Purpose The competitiveness of mining regions largely depends on the performance of the regional supply chains that provide services to mining companies. These local supply chains are often highly intertwined and represent a regional supply network for the industry. Individual companies often use supply chain strategies that are sub-optimal to overall supply network performance. To effectively respond to an uncertain business environment, policy-makers and supply chain participants would benefit by a governance framework that would allow to incentivise the formation of supply networks structures enabling effective operations. The purpose of this paper is to offer an empirically grounded conceptual framework based on Complex Adaptive Systems (CASs) governance principles, which links network governance mechanisms with supply network structure and operational performance to incentivise the formation of adaptive and resilient supply networks in the mining industry. Design/methodology/approach A mixed method research design and a case study of the South Australian mining sector were used to collect empirical data. Qualitative interviews and network analysis of the SA mining industry regional supply network structure were conducted. The relationships between network parameters were interpreted using CAS theory. Findings An empirically grounded conceptual framework based on CAS governance principles is developed. The case study revealed that supply chain strategies and governance mechanisms in the SA mining industry have led to the formation of a hierarchical, scale-free structure with insufficient horizontal connectivity which limits the adaptability, responsiveness and resilience of the regional supply network. Research limitations/implications The findings are drawn from a single case study. This limits generalisability of the findings and the proposed framework. Practical implications The proposed framework draws the attention of the policy-makers and supply chain participants towards the need for utilising CAS governance principles to facilitate the formation of adaptive, responsive and resilient regional supply networks in the mining industry. Originality value The proposed conceptual framework is an attempt to parameterise the governance of the regional supply networks in the mining industry.

Today’s business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic business intelligence (BI) model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators). Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model. KPI predictive models were trained and tested with a real-world data set. Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented. The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems. This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.

Industry 4.0 technologies are causing a paradigm shift in supply chain process management. The digital transformation of the supply chains provides enormous benefits to organizations by empowering collaboration among multiple internal and external organizations and systems. This study presents a narrative review explaining the existing knowledge on digital transformation in supply chain process management using text mining. It summarizes the existing literature to explain the current state of the art in supply chain digitalization. This comprehensive review identifies the most important topics and technologies and determines the future trends in this emerging field. We investigate the articles published in Web of Science and Scopus databases and use text mining techniques (clustering and topic modeling) on the article contents. Using VOS viewer, a bibliometric analysis of 395 articles with 12,700 references is analyzed. The contents of the articles are explored using text mining approaches. The synthesized results reveal that the most important topics in digital transformation are “sustainable supply chain management” and “circular economy and industry 4.0 technologies”. The study further discovers big data, data analytics, blockchain, artificial intelligence, machine learning, and the Internet of Things as the most critical technologies for facilitating supply chain digital transformation. Finally, an overlay heatmap analysis of the research articles found that digital transformation, supply chain management, industry 4.0, decision-making, and sustainability are emerging trends in supply chain digitalization.

Improving the supply chain resilience of the mineral resources industry is crucial for ensuring national economic security in China. Based on the supply and demand data of China’s mineral resources industry from 2002 to 2018, this study adopts system dynamics model to simulate the supply chain resilience of the mineral resources industry, the mining industry, and the smelting and processing industry under the scenario of steady economic development and the scenario of supply chain crisis. From the simulation results, the reserves of the mineral resources industry and the smelting and processing industry under the two scenarios are nearly the same, indicating that they are weakly affected by the foreign market, and both have strong resilience. The mining industry has a high dependence on imports and a lack of supply chain resilience. Under the condition of steady economic development, the output of the mining industry needs to develop at a low speed to reduce production capacity. More attention should be paid to the high level of import dependence and insufficient supply chain resilience of the mining industry. In the stable international trade situation, reserves of important minerals should be increased to alleviate the resource shortage during the supply chain crisis.

Text mining tools are now widely used for the efficient management of information and resources in business, academic and research organizations. This paper provides a comprehensive overview of research articles on the application of text mining techniques in the field of Supply Chain Risk Management and the apparel industry. Research articles published between 2000 and 2020, were obtained from various journals through two online databases, i.e., SCOPUS and IEEE Xplore. Through a systematic approach following PRISMA guidelines, 370 research papers were screened, filtered and finally classified into three main areas: Supply Chain Risk Management and outsourcing in the apparel industry, application of text mining in Supply Chain Risk Management and application of text mining in the apparel industry. In this study, we have identified a comprehensive list of various available data sources for text mining, methodologies and risks associated with outsourcing in the apparel industry. We classify the gaps in expanding the application of text mining in the apparel industry’s Supply Chain Risk Management. Extracting useful information from online newspapers through text mining could vividly enhance the ability to monitor supply chain risks and provide the ability to link data to provide decision makers with the right information at the right time.

PurposeThis paper seeks to critically analyse the list of principles on the extractive phase of the electronics supply chains, proposed for consumer electronic companies, by the non‐governmental campaign MakeITfair. The purpose is to understand whether conformance with these principles could positively influence the socio‐environmental conditions at the mining level.Design/methodology/approachThe paper reviews the literature on incorporation of corporate social responsibility in supply chain management. It then examines how metals are mined, traded and used in electronics, as well as how the mining industry has been managing its own socio‐environmental problems. This information underpins the qualitative discussion of the principles.FindingsMakeITfair's principles were found to be constructive insofar as they draw the attention of electronic companies to their shared responsibility for the problems of distant‐tier suppliers. Nevertheless, some principles may lead to potentially undesired outcomes such as biased prioritization of mining companies or regions, adoption of contentious “standards”, and conflicts concerning the sovereign rights of nations over their natural resources. Overall, the principles stress traceability mechanisms as means of influencing the mining phase of supply chains without considering the costs and benefits of overcoming the complexities involved in the metal trade and other barriers. The paper concludes by highlighting the need to consider additional ways of positively influencing metals supply.Research limitations/implicationsThe paper points out specific research priorities in the value chains of metals.Originality/valueThe paper provides a critical analysis of intricate responsibility issues in the supply chain of the world's top electronic companies.

Purpose – This study proposes a strategic direction to respond to deglobalization and trends that are changing due to COVID-19, the war in Ukraine, disruptive factors in the global supply chain, and domestic-centered supply chain establishment, and identifies changes in the global supply chain and the environment to respond. Design/Methodology/Approach – This study analyzes the changes in and structural characteristics of the global value chain, and develops case studies and related policies for the promotion and value of the urban mining industry as a countermeasure to solve problems in Korea through supply chain management. Findings – Utilizing the advantages of urban mining in Korea, the urban mining industry was selected as a strategic industry development plan to create an industrial cluster that encompasses the relevant public sector, research institutes, and companies at each stage of the industry. Research Implications – Through this study, it is possible to preemptively respond to the crisis by preparing an alternative to supply chain risk, and to secure and operate resources through the vitalization of the urban mining industry, which is the most realistic and long-term alternative. It will be possible to review the advantages and strategic development of the urban mining industry, job creation, and development of social enterprises by separately fostering the private and public sectors.

Sourcing gold is an example of one of the most problematic mineral supply chains. This is undoubtedly the case in artisanal mining (with serious environmental degradation through deforestation, the use of mercury, child labour and frequent violence). However, industrial mining is rarely better (local communities suffer from displacement and toxic emissions). The international community is struggling to regulate, however most of the rules remain soft law and self-regulation is unreliable. Furthermore, a large part of the supply chain evades the regulation altogether, since consumers in the Middle East, India and China rarely insist on clean sourcing.

Supply chain risk and uncertainty are critical factors that impact coal mining operations. Risks can arise from various sources such as natural disasters, supplier disruptions, market fluctuations, regulatory changes, and geopolitical uncertainties (Marzouk et al., 2022; Pettersen-Sobczyk, 2018). Managing these risks involves identifying, assessing, and implementing measures to mitigate and minimize potential losses. Uncertainties, on the other hand, stem from the lack of predictability or knowledge about future events and outcomes. They represent a level of unpredictability and the potential for surprises or unexpected events that can impact the supply chain. Overcoming uncertainties requires a resilient supply chain capable of preparing for unexpected events, responding to disruptions, and recovering from them while maintaining operational continuity (Adobor, 2020; Gunasekaran et al., 2015). Resilience capability allows a company to restore its operations to their original or desired state after being disturbed (Chowdhury & Quaddus, 2017). However, despite the abundance of literature proposing resilience frameworks in supply chain management, their application within the context of coal mining remains relatively limited (Agrawal & Pingle, 2020; Belhadi et al., 2022). Existing research in the field of coal mining has primarily focused on operational efficiency, cost reduction, and production optimization, with limited attention given to the concept of resilience. Therefore, this research aims to address this gap by developing a comprehensive resilience framework specifically tailored to the mining supply chain, with a focus on coal mining company. By incorporating the unique characteristics and challenges of the mining industry, such as geological uncertainties, complex extraction processes, and environmental regulations, this framework will provide valuable insights and strategies for enhancing the resilience capabilities of coal mining company. Keywords: Supply chain resilience, Coal mining, Disruptioin, Risk mitigation, Systematic literature review

The development of the green economy has significantly impact the traditional mining industry. Mining enterprises must invest in green technology to reduce the environmental pollution caused by flying dust and soil erosion and are subject to increased scrutiny to be socially responsible when conducting their business. To address this issue, we consider a competitive mining supply chain system consisting of two excavators and two exclusive retailers. Among them, the excavators have a certain sense of corporate social responsibility (CSR), that is, in addition to pursuing economic profits, they also consciously pay attention to the interests of consumers. We establish three different game models that two excavators exhibit no CSR behaviour (NN), two excavators exhibit CSR behaviour (SS) and one excavator exhibits CSR behaviour (SN). We examine the optimal decision-making strategies and analyse the impact of social responsibility. Analytical results show that the optimal strategies of mining supply chain are different under different supply chain structures. The optimal decisions of the mining supply chain members are the same in each case under the NN and SS models. In the SN model, the optimal decision strategy value of mining supply chain members is always greater than non-socially responsible supply chain members. In SS model, when the intensity of social responsibility competition is low, two excavators reduce the wholesale price, and retailers reduce the sales price; when the intensity of social responsibility competition is strong, two excavators will increase the wholesale price, and retailers will increase the sales price. These help to promote product sales and increase the profits of the supply chain system. In SN model, with the increase of social responsibility competition intensity, the wholesale price of two excavators and the sales price of retailers first increased and then decreased. Finally, numerical examples illustrated to justify the proposed model.