Complex Supply Chain Research Articles

Enforcing export controls learning from and using the financial system

AbstractRussian imports of battlefield goods subject to export controls have surged since mid‐2022 and reached levels close to those prior to Russia's full‐scale invasion of Ukraine. Russia thus continues to be able to acquire foreign components critical for its military industry. These imports largely occur via mainland China, Hong Kong, Turkey and the United Arab Emirates, while other countries including Armenia, Georgia, Kazakhstan and the Kyrgyz Republic have also seen massive increases in tech imports that likely end up in Russia. The enforcement of export controls faces multifaceted challenges centred around complex supply chains, lack of transparency and opaque financial structures, issues familiar from anti‐money laundering (AML) and countering financing of terrorism (CFT) frameworks. We propose using a similar framework in export control enforcement: First, financial institutions need to play a role in monitoring trade in export‐controlled goods and blocking illicit transactions. Second, non‐financial companies could learn from banks' efforts in the AML/CFT sphere to implement proper due‐diligence procedures and to ensure export controls compliance. Public‐sector investigations and appropriate fines are critical to increase the incentives for firms to act. Technology sanctions will remain part of the economic statecraft toolbox. The Russia case will test their effectiveness and credibility.

Rethinking and redesigning storage, packaging and distribution practices for food supply chain

PurposeThe study aims to add to the existing literature on food supply chains by specifically taking into the redesigning of the alignment of storage, packaging and distribution practices in the modern complex supply chain. The redesign of the food supply chain’s storage, distribution and packaging is a transformative endeavor ultimately aimed at enhancing efficiency, sustainability and reliability.Design/methodology/approachIn order to identify, classify and prioritize the main challenges, this study conducted an extensive analysis of the literature and experts’ opinions in the areas of academia, information technology and the food supply chain (FSC) using combined compromise solution method (CoCoSo) and complex proportional assessment (COPRAS).FindingsThe top three classes of key indicators revealed in this study are dynamic route optimization and on-demand delivery pods (RD4), implementation of active packaging with nanotechnology (RP3) and collaborative last-mile (RD2). The findings reveal that dynamic route optimization and on-demand delivery pods (RD4) and collaborative last-mile (RD2) are maintaining a balance between collaborative delivery networks through route optimization which is a very discussable theme in recent literature.Originality/valueThe research provides fresh insights into how perishable food shelf life parameters and the use of distribution networks within the short supply chain can be taken into consideration when redesigning the storage, packaging and distribution system for food supply chains.

Social Impacts in the Supply Chain of a Cement Industry

Social impacts have been discussed within the mining supply chain. To research the complexity of the mineral supply chain (SC), which involves the sustainability of mineral resources and related products, the paradox perspective is adequate, as it offers an opportunity to deepen the nature of tensions and how to manage them to advance sustainability. The cement industry is part of the mineral industry and is fundamental to the socioeconomic development of countries. This study investigates: How do the social impacts of the process of closing an operation in the mineral SC occur? To answer this question, we investigate the source of such impacts and their relationship with the tensions and paradoxes of sustainability, from the perspective of the local community. A case study was conducted, with interviews, observation, and document analysis. The results present emerging categories of social impact in the post-closure context. The study presents the interaction between social impact and paradoxical tensions, which highlights the power disparity between agents. In addition, it demonstrates the types of tensions that generate social impact between the main actors: the focal company, the supply chain, the government, and the community.

Blockchain-Enabled Smart Contracts Revolutionizing Supply Chain Management: A Case Study

Inefficiencies, a lack of transparency, and trust issues are common challenges in today's globalized and complex supply chains. Smart contracts combined with the decentralized, immutable ledger system of blockchain technology have made it appear like a viable answer to these problems. The application of blockchain-enabled smart contracts to supply chain management is examined in this research paper's case study. This study explores the potential of blockchain technology to improve supply chain efficiency, traceability, and transparency by closely examining a real-world case. This case study explores the planning, execution, and results of incorporating smart contracts and blockchain technology into different phases of the supply chain, such as manufacturing, distribution, logistics, and procurement. The study also addresses the advantages, difficulties, and lessons discovered during the implementation of blockchain-enabled smart contracts, offering insightful information to enterprises thinking about implementing such systems. The results demonstrate how blockchain technology has the ability to completely transform supply chain management by increasing stakeholder collaboration, lowering costs, minimizing risks, and fostering trust. This case study adds to the expanding body of research on supply chain management applications of blockchain technology and provides useful advice for companies looking to use blockchain technology to improve their operations and gain a competitive edge in the fast-paced market of today

Studying the Moderating Effects of Additive Manufacturing Best Practices Between Supply Chain Complexity and Its Performance

Background: Supply chain performance (SCP) is impacted by complexity brought about by static and dynamic drivers. This study aims to investigate the effects of supply chain complexity (SCC) on SCP and ascertain whether additive manufacturing best practices have moderating effects on this relationship. Methods: Using data from 29 Ethiopian footwear industries and 205 respondents, the relationship established in the theoretical framework was validated using structural equation modelling (SEM). Results: The study’s findings provided several important insights. First, upstream supply chain complexity (USSCC), midstream supply chain complexity (MSSCC), and downstream supply chain complexity (DSSCC) negatively affect SCP. Second, additive manufacturing best practices have significant moderation effects between supply chain complexity and supply chain performance. Third, the negative impacts of USSCC and MSSCC on SCP are reduced at a higher level of additive manufacturing adaptation. The findings of this study also revealed that the effects of DSSCC on SCP have no difference at both low and high levels of additive manufacturing best practices. Conclusions: This work offers the first empirical investigation to which the detrimental effects of SCC on SCP are mitigated or improved through the moderating role of additive manufacturing best practice.

Evaluation of the synergistic effect of platinum-supported graphene materials on methylcyclohexane decomposition via flow reactor experiments and reactive force-field molecular dynamics simulations

Hydrogen technology is a viable alternative to carbon-based energy sources. However, the widespread use of hydrogen energy is limited by its low volumetric energy density, complex supply chain, and difficulties related to hydrogen storage. This study investigates the influence of Pt-supported graphene additives on hydrogen formation and decomposition of methylcyclohexane (MCH), which is a potential hydrogen carrier, by conducting high-pressure liquid flow reactor experiments and reactive force-field molecular dynamics simulations. This investigation represents a notable improvement in the MCH decomposition and hydrogen generation efficiencies through enhanced catalytic dehydrogenation facilitated by Pt-decorated functionalized graphene sheets (Pt@FGSs). Experimental results indicate that under fixed reaction conditions, the bicomposite structure of the Pt@FGSs at a loading concentration of 50 ppmw reduces the dehydrogenation energy and increases the conversion rate by up to 45%. The yields of products such as hydrogen and low-carbon species are also significantly improved. Notably, hydrogen formation is enhanced by a factor of approximately 2, demonstrating the effectiveness of Pt@FGSs in facilitating fuel decomposition and promoting hydrogen production. In addition, reactive force-field molecular dynamics simulations elucidate possible enhancement mechanisms, in which Pt nanoparticles attach to FGSs and catalyze the dehydrogenation of MCH and its derivatives. The production of a higher amount of the produced hydrogen is evidenced by the desorption of H atoms attached to the Pt surface. This study provides valuable insights that can accelerate the transition towards sustainable and effective decarbonization strategies using MCH as a hydrogen carrier.

Got milk? Got cybersecurity risks! Unraveling ransomware threats in the German dairy industry

PurposeThis study aims to explore the vulnerabilities of the dairy industry to ransomware threats, focusing particularly on the upstream supply chain and applying routine activity theory (RAT) to understand the evolving dynamics of cybercrime in critical infrastructure sectors.Design/methodology/approachUtilizing expert interviews and network analysis, this research investigates the exploitation of complex supply chain vulnerabilities by motivated offenders. It delves into the intricate interplay between digital threats and physical supply continuity.FindingsThe study uncovers that ransomware threats transcend digital boundaries, manifesting in disruptions to physical operations and presenting significant risks to food security. It underscores the threat posed by the convergence of information technology (IT) and operational technology (OT), emphasizing the urgent need for heightened awareness and robust defenses against this substantial menace.Practical implicationsAddressing cyber vulnerabilities in critical sectors like dairy ensures not only the security of operations but also safeguards broader societal interests such as food security. Collaboration and proactive measures are essential to mitigate potential social and economic disruptions caused by cyber incidents.Originality/valueThis research fills a knowledge gap by shedding light on the nexus between cyber threats and supply chain resilience. It emphasizes the need for industries to adapt traditional defense mechanisms in the face of sophisticated digital adversaries.

Data-driven digital marketing and battery supply chain optimization in the battery-powered aircraft industry through case studies of Rolls-Royce’s ACCEL and Airbus's E-Fan X Projects

This paper investigates the interplay between data-driven digital marketing strategies and battery supply chain optimization in the battery-powered aircraft industry, with a focus on Rolls-Royce's ACCEL and Airbus's E-Fan X projects. As the electric aircraft market emerges, these companies face the dual challenge of promoting technological advancements to a skeptical audience while navigating complex supply chain requirements. The study explores how data analytics and targeted content marketing are employed to enhance stakeholder engagement, build consumer trust, and communicate the benefits of electric aviation. By leveraging digital platforms, Rolls-Royce and Airbus effectively highlight key aspects such as battery performance, sustainability, and the safety of electric propulsion, addressing both technical and consumer concerns. Concurrently, the research delves into the intricacies of battery supply chain optimization, examining the processes involved in sourcing high-energy-density batteries, ensuring quality control, and adhering to regulatory standards. Advanced supply chain management techniques, including predictive analytics and real-time monitoring, are analyzed for their role in streamlining procurement and manufacturing processes. The integration of these strategies within digital marketing campaigns demonstrates how each company positions itself as a leader in the industry, emphasizing technological innovation and reliability. This study aims to provide a comprehensive understanding of how digital marketing and supply chain optimization are not only critical for promoting the adoption of electric aircraft but also for overcoming market skepticism and ensuring operational efficiency. By presenting case studies of two pioneering projects, ACCEL and E-Fan X, the research highlights best practices and strategic approaches that can guide other companies in the industry. The findings underscore the importance of a synergistic approach where digital marketing is informed by supply chain realities, creating a transparent and trustworthy narrative for consumers and stakeholders. Ultimately, this paper contributes to the discourse on how emerging technologies in aviation can be successfully marketed and operationalized, offering insights into the effective use of digital marketing and supply chain management in the rapidly evolving electric aircraft sector.

Influence of Supply Chain Diversification on the Performance of Large Food and Beverage Processing Companies in Nairobi City County, Kenya

The performance of food and beverage manufacturing companies has become a pressing concern due to the rising incidence of supply chain disruptions, which pose significant threats to achieving operational goals. This study investigates the influence of supply chain diversification on the performance of large food and beverage processing companies in Nairobi City County. Supply chain disruptions have been linked to severe financial repercussions, including lower stock returns and increased failure rates, necessitating innovative management strategies. Utilizing a quantitative correlational research design, the study surveyed all 46 major food and beverage companies in the region, targeting procurement, financial, operations, and supply chain managers. Data collection was conducted via questionnaires, achieving an impressive response rate of 81%, underscoring the representativeness of the findings. Statistical analysis revealed a strong positive correlation between supply chain diversification and organizational performance, with an R-squared value of 0.650, indicating that approximately 65% of performance variability could be attributed to diversification practices. Regression analysis confirmed that each unit increase in diversification significantly enhanced performance metrics. These results align with existing literature, emphasizing the need for proactive diversification strategies to mitigate risks and enhance operational efficiency. Recommendations include continuous investment in diversifying supplier bases, adopting advanced technologies such as artificial intelligence, and implementing regular training programs for staff. Furthermore, strategic partnerships with suppliers and routine assessments of risk management policies are vital for maintaining competitive advantages. This research highlights the critical role of supply chain diversification in enhancing performance in the food and beverage sector, providing insights that are essential for navigating the complexities of modern supply chains. Future research should explore comparative studies across different sectors, longitudinal impacts of diversification, and qualitative insights from industry leaders to further enrich understanding in this area. By addressing these recommendations and research avenues, food and beverage manufacturing companies can enhance their resilience and ensure sustained performance in an ever-evolving market landscape..

A comprehensive analysis of India’s electric vehicle battery supply chain: barriers and solutions

This study investigates challenges and solutions for India’s battery supply chain in the growing electric vehicle (EV) market. Key obstacles include raw material dependency, supply chain complexity, production costs, environmental impacts, rapid technological changes, and skilled workforce shortages. Methods involve reviewing current supply chains, evaluating government policies like the FAME and PLI schemes, and analyzing strategic partnerships with countries rich in lithium, cobalt, and nickel. Results show heavy reliance on imports exposes India to geopolitical risks and price volatility, while a fragmented supply chain hinders coordination and quality control. Establishing gigafactories is crucial but requires substantial investment. The study recommends enhancing domestic production, securing raw materials through exploration and international partnerships, investing in R&D for advanced technologies and alternative chemistries, and developing a skilled workforce through specialized training. Implementing these strategies will ensure a robust and sustainable battery supply chain, supporting EV market growth and positioning India as a leader in electric mobility. Further research should focus on long-term environmental impacts and the economic implications of a localized supply chain.

A school-based intervention to foster adherence to the Mediterranean diet in adolescents: the PROMEDLIFE project

Abstract The need to maintain the production of local foods characterized by a high nutritional index, update traditional food production methodologies by developing attractive tech-based approaches, promote healthy eating habits that meet consumers’ preferences and acceptability, as well as reducing the complexity of supply chains (Farm to Fork) must be addressed to ensure food and nutrition security. This is especially true in Mediterranean countries undergoing dietary and nutritional changes that affect their inhabitants’ health while creating many socio-economic and environmental challenges. PROMEDLIFE aims to increase adherence to the Mediterranean diet through a multi-actor approach by encouraging the adoption of a healthy eating lifestyle while decreasing the environmental and economic impact of food production and processing. It also aims to attain optimal food communication and education through training programs that target primary and secondary students as well as their families, from children to older adults. A 4-week nutritional and sensory educational intervention in high school students involves frontal lessons, a web-app for families enrolled, and games on nutrients, food groups, balanced meals and various eating occasions, healthy and sustainable diets. In addition, adherence to the Mediterranean diet, nutritional knowledge, sociodemographic and lifestyle data, picky eating, and food neophobia are investigated. Including nutritional lectures in the school curriculum of high schools promotes knowledge acquisition about healthy diet. However, a period longer than 4 weeks may be necessary to translate this knowledge into improved eating habits. The project is still ongoing, and follow-up data collection will be performed. Final analysis, including data on picky eating and food neophobia, as well as overall eating behavior at follow-up, will allow an evaluation of possible long-term changes.

Overload cascading failure detection algorithm for multi-layer supply chain network considering delay probability factor

At present, the supply chain is multi-layered and complicated, and its failure detection is based solely on the characteristic threshold, which does not lack the ability to describe the complex supply chain. An overload cascading failure detection algorithm for multi-layer supply chain network considering delay probability is proposed. Based on the multi-layer supply chain network including raw material suppliers, manufacturers, distributors and retailers, the overload cascading failure model of the multi-layer supply chain network is constructed through networking, and the overload cascading failure process of the multi-layer supply chain network is described through three aspects: initial load, node capacity and overload node load distribution. By monitoring and analyzing the status update messages of each node in the supply chain network, and considering the delay probability factor, the node and path that may lead to cascading failure are identified by predicting the delay probability of the next message through the historical message delay probability, and the overload cascading failure detection of the multi-layer supply chain network is realized. The experimental results show that the algorithm can effectively detect the failure of each overloaded enterprise node in the multi-layer supply chain network, which is helpful to enhance the early warning and response ability of the cascade failure of the supply chain network. The algorithm can realize the failure detection of supply chain network under different attack conditions and initial failure ratio of nodes, and measure the anti-risk ability of supply chain network. Under deliberate attack and when the initial attack node is a supplier network layer node, it has a greater impact on the multi-layer supply chain network.

Artificial Intelligence-Powered Risk Assessment in Supply Chain Safety

The increasing complexity and globalization of supply chains necessitate robust risk management strategies to ensure safety and resilience. Traditional risk assessment methods often fall short in dynamically adapting to the rapidly changing conditions and voluminous data inherent in modern supply chains. This study explores the potential of Artificial Intelligence (AI)-powered risk assessment to address these limitations in the context of Malaysia's supply chain industry. By employing AI technologies such as machine learning, IoT, and predictive analytics, organizations can significantly enhance their risk management capabilities, improving predictive accuracy, real-time monitoring, and overall operational efficiency. Through a qualitative analysis involving in-depth interviews with supply chain managers, AI experts, and technology vendors, the study identifies the strategies employed for AI integration, the perceived effectiveness of these technologies, and the challenges faced in implementation. The findings highlight the importance of robust data governance, the development of explainable AI models, and continuous skill development to overcome barriers related to data quality, model interpretability, and high implementation costs. The study concludes with recommendations for fostering a safer and more resilient logistics environment in Malaysia, emphasizing the need for comprehensive AI adoption frameworks and scalable solutions for small and medium-sized enterprises.

PENERAPAN TEKNOLOGI INDUSTRI 4.0 DALAM LEAN WAREHOUSING: LITERATURE REVIEW

Warehouse plays a crucial role in the supply chain by linking material flows between suppliers and customers, and also matching demand with product availability. Operational disruptions in warehouse can lead to decreased customer satisfaction, necessitating effective and efficient warehouse operations. Lean principles, including lean warehousing, are often used to achieve this. Additionally, increasing supply chain complexity makes companies vulnerable to costly errors, leading to broader adoption of industry 4.0 technologies. Various studies have begun integrating industry 4.0 technologies into lean warehousing practices. However, literature reviews on integrating industry 4.0 with lean principles tend to focus on manufacturing area. This study aims to review researches on the application of industry 4.0 technologies in lean warehousing through a literature review. The findings of the literature review indicate that autonomous robots, simulation, horizontal and vertical system integration, and the industrial internet of things are industry 4.0 pillars that are widely applied alongside lean warehousing methodologies and tools. Most studies analyze overall warehouse processes, while others focus on specific processes within the warehouse. Overall, the use of industry 4.0 technologies in lean warehousing leads to significant positive impacts, including increased efficiency and productivity. Further studies are needed to understand how lean warehousing can serve as a foundation for implementing industry 4.0 technologies and to address the issues and challenges in their concurrent application.

The intersection of green marketing and sustainable supply chain practices in FMCG SMEs

As sustainability increasingly shapes consumer behavior and corporate strategies, Fast-Moving Consumer Goods (FMCG) small and medium-sized enterprises (SMEs) are adopting green marketing and sustainable supply chain practices to gain a competitive edge. This review explores the intersection of these two critical areas, demonstrating how their integration can drive both business growth and environmental responsibility. Green marketing, which focuses on promoting eco-friendly products and sustainable business practices, has become a key tool for FMCG SMEs to differentiate themselves in a crowded marketplace. By adopting strategies such as eco-friendly packaging, ethical sourcing, and transparency in communicating sustainability efforts, SMEs can build stronger consumer trust, foster brand loyalty, and meet the growing demand for environmentally conscious products. Simultaneously, sustainable supply chain practices ensure that the production, distribution, and logistics processes align with environmental and social goals. These practices include reducing carbon emissions, minimizing waste, and working closely with suppliers to ensure ethical sourcing of materials. The synergy between green marketing and sustainable supply chains creates a feedback loop where operational sustainability supports marketing efforts, and consumer demand for green products encourages further sustainability improvements. This review also examines the challenges FMCG SMEs face in aligning these strategies, such as cost barriers, regulatory compliance, and supply chain complexity. Through case studies and industry examples, it highlights how innovative technology and stakeholder collaboration can help overcome these challenges. Ultimately, this study underscores that integrating green marketing and sustainable supply chain practices is not only essential for addressing environmental concerns but also for enhancing competitive positioning, customer satisfaction, and long-term market success in the FMCG sector. Recommendations for SMEs on how to effectively align their marketing and supply chain sustainability efforts are also provided. Keywords: Green Marketing, Supply Chain, FMCG SMEs, Review.

Research on the Storage Process Management System Based on RFID

With the continuous development and complexity of the global supply chain, warehouse automation and intelligent technology have become the key means to improve the efficiency and accuracy. The application of radio frequency identification (RFID) in storage process management is discussed, Use RFID technology to manage the storage process, pretreatment the goods, and improve the overall logistics speed. At the same time, the visualization technology is used to monitor the status of the goods, The full state of cargo preprocessing to the end of the task is visible.

Balancing Efficiency and Environmental Impacts in Greek Viticultural Management Systems: An Integrated Life Cycle and Data Envelopment Approach

Greek wines excel in quality and exports, but the viticultural sector faces significant challenges from complex supply chains, shifting European policies, and the growing need for sustainability amidst climate change and economic pressures. External environmental costs could affect significantly the decision-making process of farmers, reflecting a broader evaluation of sustainability in viticulture. This study evaluates the economic and environmental impacts of organic, integrated, and conventional viticulture management systems in Drama, Greece using a life cycle (LC) approach and data envelopment analysis (DEA) to determine efficiency, quantify environmental impacts in monetary terms, and incorporate these costs into the analysis. Organic management systems have lower energy consumption and emissions compared to integrated and conventional systems, with organic systems ranging from 4546 to 6573 kWh/ha in energy use and 1358 to 1795 kg CO2 eq./ha in emissions, while integrated and conventional systems range from 9157 to 12,109 kWh/ha and 2961 to 3661 kg CO2 eq./ha. The DEA analysis reveals that most organic systems perform efficiently when accounting for environmental costs, whereas conventional systems face significant efficiency declines, with only a few maintaining optimal performance. Policy-supported transitions based on the provider gets principle are crucial for balancing economic and environmental goals in viticulture, as the integration of shadow prices significantly impacts efficiency.

Unravelling supply chain complexity in maintenance operations of battery production

Europe’s emerging lithium-ion battery production sector faces immense challenges with Supply Chain Complexity (SCC). This article explores sources of and responses to SCC within maintenance operations of battery production. Using an engaged scholarship approach within automotive original equipment manufacturers (OEMs) and battery cell manufacturers in Sweden, qualitative data were collected and analysed using SCC theory. Our core findings reveal 37 sources of SCC classified by origin and type and 40 responses across four practice clusters. This study offers in-depth insights into the potential impact of SCC on maintenance operations in battery production and provides actionable guidance for managing complexity. It also identifies five future research avenues: investigating complexity interactions, matching sources and responses, exploring complexity-inducing responses, identifying internal-external interfaces and examining social aspects of SCC. In effect, the study sets the agenda for research on battery production maintenance and positions SCC as a versatile theoretical lens for understanding the emerging battery sector.

Advanced supply chain optimization for emerging market healthcare systems

The complexities of pharmaceutical supply chains in emerging markets present significant challenges that directly impact healthcare outcomes, particularly in underserved regions. This research focuses on the optimization of supply chain systems for the healthcare sector, with an emphasis on enhancing pharmaceutical delivery. By leveraging data analytics and innovative procurement strategies, the study seeks to improve efficiency, reduce operational costs, and ensure the timely distribution of essential medications. Drawing on practical experiences at eMedic Technologies Africa, the research highlights the need for advanced models that integrate real-time data to optimize inventory management, forecast demand, and address bottlenecks in last-mile delivery. The study proposes a multi-faceted approach to addressing common challenges in emerging market supply chains, including unreliable infrastructure, fluctuating demand, and limited access to technology. By utilizing predictive analytics, the proposed models aim to improve accuracy in demand planning, reducing stockouts and overstock situations. Additionally, innovative procurement strategies, such as centralized procurement and strategic partnerships with local suppliers, are explored as key methods for enhancing cost-effectiveness and streamlining supply chain operations. A critical component of the research is the focus on last-mile delivery, which remains a significant hurdle in rural and underserved areas. The study advocates for the use of digital platforms and mobile technologies to enhance delivery tracking and coordination, ensuring that essential medications reach their destination efficiently. Furthermore, it emphasizes the importance of fostering collaboration between governments, non-governmental organizations, and private sector stakeholders to build resilient supply chain systems capable of adapting to local conditions. By providing actionable insights and scalable models for supply chain optimization, this research aims to contribute to improved healthcare delivery in emerging markets. The proposed strategies not only reduce costs and improve efficiency but also ensure a reliable and consistent supply of medications, ultimately leading to better health outcomes in regions most in need. Keywords: Supply Chain Optimization, Data-Driven Procurement, Last-Mile Delivery, Healthcare Efficiency, Emerging Markets

The resilience and determinants of global mineral resource supply chains: a network percolation perspective

Mineral resources are the basic materials for global economic development. Assessing mineral resource supply chain resilience is an important pillar of mineral resource supply chain stability management. The globality, heterogeneity and complexity of supply chain bring challenges to the resilience assessment of global mineral resource supply chain. To solve this problem, a method based on multi-region input-output model, network percolation model and econometric model is proposed, which is able to measure the resilience of global mineral resource supply chain and its influencing factors from the perspective of the whole system. The percolation phase transition is introduced to measure the critical state of global mineral resource supply chain system collapse facing external disruption. Using the proposed method, this paper conducts an empirical study on the evolution of global mineral resource supply chain resilience from 2005 to 2014. The results show that the resilience of global mineral resource supply chain declined by 39.6% in 2005–2014. Most of the critical links that caused the collapse of the global mineral resource supply chain network are the manufacturing sector and its upstream and downstream sectors. The structure of supply chain network plays a key role in network resilience. Increasing the number of linkages in upstream and downstream could improve network resilience, but the increase of linkage strength would deteriorate network resilience.