Industry Supply Chain Research Articles

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.

The Resilience of Entrepreneurship in the New Era of the Tourism Supply Chain: A Case Study of the Economic Corridor of Thailand, China, and Laos

ABSTRACT With the pace of global growth in tourism, Thailand, China, and Laos have begun to consider the resilience of entrepreneurship in the tourism supply chain (TSC) industry. Therefore, this study aims to explore and analyze the new tourism supply chain among Thailand, China, and Laos and explore entrepreneurs’ resilience to adapt to new tourism trends. This study used the case and consensual qualitative approaches by conducting thorough observations and in-depth interviews with fifteen stakeholders related to tourism with the phenomenon and perception of the TSC and resilience of entrepreneurs by the narrative supplement of an economic corridor. The result indicated that information flow management benefits customer orientation by sharing information. The input provider needs collaboration to create a tourism experience. Tourism activity and products are focused on developing and adding value. The contribution responds to the different levels and groups of the TSC that are also the basis for new TSC management and addresses effective strategies for entrepreneurs’ resilience in the future, which benefits tourism sustainable development.

AI-Driven Numerical Optimization for Carbon Footprint Reduction and Sustainable Supply Chain Management in the Fashion Industry

This study explores how AI-driven optimization can help lower the carbon footprint of the fashion industry's supply chain. By using advanced AI models, the research delves into sustainable strategies across core areas—sourcing, production, logistics, and retail—focusing on reducing emissions, energy use, water consumption, and waste. Techniques like linear programming, genetic algorithms, and reinforcement learning showcase how AI can bring about real, measurable environmental benefits. The findings reveal that these optimized processes boost energy efficiency, save water, and cut down waste, making them valuable tools for sustainable supply chain management. The study wraps up with practical recommendations for adopting AI-based models to help the fashion industry embrace sustainability more effectively.

Optimization of a sustainable supply chain for medical device industry under uncertainty and COVID-19 pandemic

Optimization of a sustainable supply chain for medical device industry under uncertainty and COVID-19 pandemic

Economically viable reshoring of supply chains under ripple effect

This paper presents stochastic mixed integer linear programming models for economically viable supply chain reshoring under the ripple effect, that is, for the integrated optimization of supply chain reshoring and supply chain viability. The problem objective is to select supply chain facilities for relocation and backup suppliers for recovery supplies to simultaneously minimize cost, maximize service and enhance viability. If the primary supplier is not selected for reshoring, the viability can alternatively be improved by recovery supplies from the backup supplier. The problem is formulated as a multi-portfolio stochastic optimization. The portfolio of suppliers/plants for reshoring is optimized along with an alternative recovery portfolio of backup supplies. This study indicates that reshoring decisions directly affect supply chain viability and have positive impact on both its average and worst-case performance. The more risk-aversive is viable reshoring (the confidence level greater than 0.90), the greater is also improvement of supply chain business-as-usual resilience. If increase of expected customer service is more important than cost reduction, supplier reshoring is preferable to backup sourcing. The findings also indicate that cost- and service-optimal reshoring decisions are getting closer when the government subsidy for reshoring significantly increases such that the reduced reshoring costs and domestic costs do not exceed the achieved reduction of lost sales and backup sourcing. Then both conflicting objectives can be simultaneously achieved, which is a highly desirable solution of the economically viable reshoring of supply chain. Numerical examples based on a real-world industrial supply chain prove practical usefulness of the proposed stochastic approach and its high computational efficiency.

Assessment of barriers towards a sustainable and resilient poultry industry supply chain: A developing country viewpoint after COVID-19

The devastating COVID-19 epidemic has highlighted the weaknesses in supply chains (SCs) globally. To ensure smooth production in the current and post-COVID-19 era, the policymakers should focus on establishing a sustainable and resilient supply chain (SC) by reconfiguring their existing SC strategies. This study aims to investigate the difficulties poultry industry (PI) faces in coping with the effects of SC disruptions brought on by the COVID-19 pandemic from a developing country viewpoint: Bangladesh. Through literature review and expert opinion, 20 barriers were identified and categorized into five dimensions (i.e., social, environmental, economic, technical, and institutional) related to sustainability and resilience. Pareto analysis was conducted to screen out ‘Vital few’ barriers and later prominence vectors and cause-effect relationships of these barriers was examined through decision making trial and evaluation laboratory (DEMATEL) approach. Results indicate that natural and man- made disasters, quality of chicks, feed and vaccine, inaccurate forecasting, lack of access to technology, and environmental issues are the most significant barriers to achieve sustainability and resiliency. Also, the mitigation strategies to achieve simultaneous sustainability and resiliency in this sector are outlined for managers and practitioners.

Machine Learning-Based Demand and Pricing Optimization for a Resilient Automotive Supply Chain

In the supply chain management of the automotive industry, this paper investigates the use of demand forecasting, supply optimization, and price optimization. Optimizing the supply chain is essential for satisfying changing customer needs, cutting expenses, and increasing revenue. This study aims to improve the accuracy of demand prediction, optimize supplier relationships, and simplify pricing strategies through the use of ML-driven models. To solve the difficulties faced by automakers in a volatile market, the suggested framework combines historical data analysis, market trends, and inventory management strategies. The results help the automotive industry's supply chain systems become more flexible and resilient.

Research on the contribution of technological innovation efficiency and internal structure optimization of charging pile industry: A case study of China

In the context of resource scarcity and environmental protection, the new energy industry has garnered significant attention from various sectors. The charging pile (CP) industry, a crucial component of the new energy vehicle (NEV) industry's supply chain, requires improvements in both quantity and quality. This study examined the technological innovation efficiency (TIE) of the CP industry, considering two levels: pure technical efficiency (PTE) and scale efficiency (SE), and explored methods to optimize its internal structure. By combining the grey correlation analysis (GCA) method with the generalized data envelopment analysis (GDEA) model, a reliable evaluation indicator system was established. Empirical findings revealed that the PTE of technological innovation in the CP industry exhibited an upward trend from 2019 to 2022, achieving a GDEA-effective state. However, the SE of technological innovation shows a downward trend, indicating non-GDEA effectiveness. The contribution of CP companies to the PTE of technological innovation has shown a persistent and accelerating decline, while their contribution to SE, once negative, gradually shifts toward a positive influence. Consequently, the internal technological innovation structure of the CP industry necessitates optimization and adjustment to attain balance. This study provides recommendations from the perspectives of both the government and companies.

Can cross-border e-commerce development improve supply chain efficiency? Empirical evidence from China

ABSTRACT Cross-border e-commerce (CBEC) is becoming critical for a strong supply chain. Using data from Chinese listed firms and a difference-in-difference (DID) model, this paper examines the impact of CBEC development on supply chain efficiency from the perspective of enterprise inventory. CBEC significantly reduces enterprises’ non-finished goods inventory and improves supply chain efficiency. The mechanism tests reveal three ways in which CBEC optimizes enterprises’ inventory and enhances supply chain efficiency: improving the performance of upstream-facing sourcing, increasing the efficiency of enterprises’ product transformation, and optimizing downstream-facing demand coordination. The heterogeneous results suggest that CBEC has a greater impact on the supply chain efficiency of firms with high operational volatility and capital intensity and low digitization levels. Further, the effect of CBEC on the reduction of non-finished goods inventory is more significant in regions with weak infrastructure development and location endowment. This study provides empirical evidence for the emerging development topic of new international trade patterns empowering industrial supply chains.

Status, Challenges and Prospects of Policies Related to the Green Economy

Amidst the backdrop of globalization, the international community has increasingly focused on green economy policies, recognizing them as crucial instruments for advancing sustainable development. With the green and low-carbon transformation of the global industrial chain supply chain, the green economy and trade have become an important symbol for measuring the trade competitiveness of a country or region. Green economy policies are not only related to the process of global environmental governance but also have a direct impact on the green transformation of countries’ economic landscapes and the reshaping of international competitiveness. Amid escalating environmental challenges, the concern over leveraging green economic policies to foster harmonious economic and environmental development has emerged as a significant matter for governmental and international entities. This paper will focus on analyzing the relevant theories of the green economy, the status of its development, and the challenges it is currently facing. By analyzing the different cases of developed and developing countries in promoting the development of a green economy, we will take an in-depth look at the bottlenecks in the development of a green economy and the prospects for its future development, and reveal the specific challenges faced by different countries, as well as the innovative strategies they have adopted in promoting environmental sustainability and economic growth.

Sustainability performance assessment of sago industry supply chain using a multi-criteria adaptive fuzzy inference model

Background Sustainable supply chains are more competitive than conventional supply chains. Supply chain sustainability performance needs to be carried out to determine sustainability under current conditions and to design appropriate strategies to increase sustainability. This study aims to design a sustainability performance assessment model for the sago agro-industry supply chain and identify critical indicators for sustainability improvement. Methods The Fuzzy Inference System (FIS) evaluates sustainability on three levels: economic, social, and environmental. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to aggregate the overall sustainability performance. The cosine amplitude method (CAM) was used to analyze key indicators. This study assessed the sustainability performance on industrial- and small-medium-scale sago agro-industry. Results The results show that the supply chain sustainability performance on the industrial scale is 44.25, while it is 48.81 for the small-medium scale with the same status, almost sustainable. Key indicators for improving sago agro-industry supply chain sustainability performance include profit distribution among supply chain actors, institutional support for supply chains, waste utilization (reuse & recycle), and the availability of waste management facilities. The implication of this research for managers regards assessing the current status of sustainability performance and key indicators as a reference for formulating sustainability strategies and practices. Implication The sago agro-industry sustainability performance evaluation methodology uses industry-relevant metrics to assess supply chain sustainability, promoting collaboration among stakeholders and assisting in the creation of sustainable strategies. Conclusions The results of the study will enable supply chain actors to understand the key indicators for improving sustainability performance in the sago agro-industry supply chain, especially in Meranti Islands Regency, Riau Province. The proposed model can be applied to other agro-industries by adjusting the indicators used and assessing data availability and suitability for the research object.

Phytochemical profiling and biological evaluation of the residues from industrial hemp (Cannabis sativa L.) inflorescences trimming: Focus on water extract

The study focused on investigating the phytochemical composition and bio-pharmacological properties of a water extract obtained from industrial hemp by-products, after trimming female inflorescences of Cannabis sativa L., cultivar Kompolti. The extract was found to be rich in phenolic compounds, particularly gallic acid, catechin, coumaric acid, ferulic acid, and benzoic acid. It also contained significant amounts of cannabidiolic acid and cannabigerolic acid as the main terpenophenols. To assess the biological potential of the extract, various ecotoxicological assays were conducted. The extract did not show significant phytotoxic effects on seedling germination in the allelopathic assay. In the brine shrimp (Artemia salina) lethality test, the LC50 value was 1.726 mg/mL, and in the Daphnia magna test, the extract showed no cardiotoxicity effects at the same concentration; thus, confirming its biocompatibility with these eukaryotic organisms. Additionally, the extract did not induce cytotoxicity in the murine C2C12 cell line till to the concentration of 1000 μg/mL. In isolated mouse prostate specimens, the extract (10–1000 μg/mL) also prevented LPS-induced gene expression of pro-inflammatory cytokines, namely tumor necrosis factor (TNF)α, interleukin (IL)-6, and IL-1β. Furthermore, the extract exhibited inhibitory effects on the growth of pathogenic bacterial, fungal, and dermatophyte species commonly associated with prostatitis. These results suggest that the residual powder from female inflorescence trimming can be considered an innovative plant material from the industrial hemp supply chain that deserves to be valorised in terms of recycling and upcycling; thus, reducing the environmental impact of the by-products and also opening the way for innovative health-promoting agents.

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.

Aftermath of the Fourth Taiwan Strait Crisis: Media Discourse Analysis of Taiwan and India’s Perception of China’s Threat

This study examines Taiwan and India’s media discourse and political elite statements from 1 July 2022 to 1 October 2023, starting from the fourth Taiwan Strait crisis in 2022. We conducted a discourse analysis of over 121,901 news texts using extensive data analysis and text-mining software. Additionally, our research team conducted expert focus group discussions with renowned think tanks and research centres in New Delhi, India. Building upon the data text analysis findings, we further explored India’s stance on the Taiwan Strait conflict, its perception of the Chinese threat and the impact of the ongoing ‘new normal’ crisis on India’s Indo-Pacific strategic layout. The aim was to uncover common security needs and intersecting interests between the two countries, considering their different national interests and geopolitical considerations. Based on the analysis of textual mining and expert discussions, this study reveals the following: First, India is concerned about the current situation in the Taiwan Strait. Second, the current tensions in the Taiwan Strait will influence India’s strategic layout. Third, there is a growing consensus within India regarding the Chinese threat. In light of these findings, this study suggests that Taiwan and India share interests in democratic values, maritime traffic security and high-tech industry supply chains. Taiwan possesses expertise in China studies and a deep understanding of China’s military threat, while Taiwan and India possess specific technological capabilities. Based on these foundations, there are potential opportunities for further dialogue, exchange and cooperation in relevant fields between India and Taiwan.

The Current Situation and Optimization Path of Enterprise Supply Chain Management Construction in the Context of Digitalization

Abstract: The advancement of information technology has resulted in a rapid rise of a new phase of technical and industrial revolution, propelling the global shift from an industrial economy to a digital economy at an accelerated rate. Digital transformation has become an irreversible and pervasive tendency in contemporary society. Despite the significant growth of China's economy, the industrial supply chain is not operating at its highest efficiency. To achieve sustainable cost reduction and efficiency, enterprises need to promote digital transformation and supply chain upgrading. By doing so, enterprises can optimize resource allocation among different links in the supply chain and enhance the quality of their development. This study conducted an investigation of the value benefits, problems, and difficulties of enterprise supply chain digital transformation, using Jingdong as an example. The following article aims to provide a credible reference for organizations by discussing the successful paths and measures of digitizing the supply chain, using Jingdong's experience and activities in supply chain digital transformation as a reference.

Freezing time, freezing in time: reconfiguring freezing practices for reducing meat waste and energy consumption

Considering that many fresh food items require domestic cold storage, understanding the role of appliances such as freezers is critical to reducing greenhouse gas emissions relating to domestic food waste and energy use. Using a social practices approach, this article reports on a study of cold storage and food waste practices, particularly freezing relating to meat, in 20 Australian households. Householders were interviewed twice, over winter and summer, 2022–2023. We studied intersecting practices of eating, shopping, cooking and cold storage, and their connection to larger social phenomena such as cold supply chains to gain insights into how and why meat was wasted. Although we set out to study household practices, we found that retailer practices of pricing specials and bulk buying must also be considered. Retailer practices combined with ambiguity in consumer understandings of date labels, shelf life and freezing times mean that domestic cold storage has become a normalised extension of the cold supply chain of food, especially for meat. We argue that understandings such as convenience and thriftiness, in conjunction with retailer expectations of domestic cold storage, may lead to the ratcheting up of household freezer use for food storage. We illustrate through our findings that this may potentially increase energy consumption and accelerate food waste, which becomes particularly problematic for carbon-intensive foods such as red meat. In innovatively reimagining domestic cold storage as an extension of industrial and retailer cold supply chains, we explore what kind of capabilities may be required for an equitable and low waste cold supply chain that reduces reliance on household freezers.

Risk assessment in lithium-ion battery circular economy in sustainable supply chain in automotive industry using gray degree of possibility in game theory and MCDM

Risk assessment in lithium-ion battery circular economy in sustainable supply chain in automotive industry using gray degree of possibility in game theory and MCDM

EVALUATION OF THE AUTOMOBILE CHIP CRISIS IN THE CONTEXT OF CRISIS MANAGEMENT

The automotive industry is a rapidly evolving sector that relies heavily on technological advancements. Chip technologies are essential for various automotive systems, including control mechanisms and infotainment systems. In this context, the chip crisis has exposed vulnerabilities in the supply chain and the industry's dependance on chip supplies. The primary issue of the crisis is the bottleneck facing automakers, which negatively impacts production processes and sales due to chip shortages. The purpose of this study is to analyze the chip crisis in the automotive industry and its implications for crisis management. The crisis arises from a shortage of chips in the supply chain, which has adverse effects on automakers. This research highlights the significance of this particular crisis by examining its impact on crisis management practices. It evaluates the causes, effects, and management strategies of the crisis from a crisis management perspective. The scale of this issue demonstrates that chip supply challenges affect not only the automotive industry but also other sectors. This study emphasizes the importance of supply chain and crisis management practices in the automotive industry by analyzing the causes, effects, and management strategies of the crisis. It concludes that companies, especially in the automotive sector, need to adopt more proactive approaches in response to such crises.

A pathway design framework for national freight transport decarbonization strategies

ABSTRACT National and international freight transport emissions represent about 40% of global transport emissions, with demand expected to triple by 2050, which will increase emissions further. However, to meet the 1.5°C climate goal, a rapid decrease in transport emissions is required, along with the achievement of zero emissions as soon as possible around mid-century. Given this context, long-term low-emission national development pathways provide a strategic instrument to align short-term action with long-term objectives and to reduce national freight transport emissions. However, current transport-energy modelling studies often exclude the structural and systemic mitigation options that influence the industrial production and supply chain structure, as well as modal and logistics choices, and instead focus mainly on the technological options related to road freight vehicles and fuels. In addition, such studies lack relevant policy and stakeholder-oriented explanations of the barriers and enablers associated with these options. In this paper, we introduce a new framework to design and compare long-term national and sectoral decarbonization pathways for freight transportation, facilitating the consideration of all decarbonization options and the organization of stakeholder-oriented policy dialogues. The development of this sectoral framework builds on the general Deep Decarbonization Pathways (DDP) framework and a first implementation in France. It is then applied and tested in three emerging countries: Brazil, India and South Africa and the results show that the linking of systemic and technological changes could reduce emissions per tonne-km by at least 60%, and up to 100% by 2050, while also reducing energy consumption and supporting national development.

Decarbonization pathways analysis and recommendations in the green steel supply chain of a typical steel end user-automotive industry

China's automotive industry, the world's largest producer and consumer, has reached a crucial stage in its transition from rapid expansion to high-quality and low-carbon development. Considering the decarbonization of the whole automotive industry, in addition to reducing the CO2 emissions from fuel supply and exhaust pipes, which account for 65–80 % of the total value chain CO2 emissions, the automotive industry should also accelerate the decarbonization of raw materials, which contribute to 18–22 % of these CO2 emissions. Many automotive manufacturers are collaborating with steel producers on green steel initiatives due to the high CO2 emissions from steel production, the integrated nature of the steel supply chain, and the need for early planning in low-carbon steel production routes transformation. To clarify the carbon emission characteristic of the automotive steel supply chain, this research establishes a mathematical method for calculating cradle-to-gate carbon footprint of automotive steel product based on BF (Blast furnace)-BOF (Basic oxygen furnace), Scrap-EAF (Electric arc furnace), and DRI (Direct reduced iron)-EAF steel production routes. The cradle-to-gate carbon footprints of BF-BOF, Scrap-EAF, and DRI-EAF steel production routes are 1711.84 kgCO2/t-sp (steel product), 916.39 kgCO2/t-sp, and 2738.53 kgCO2/t-sp. A projection of CO2 emissions in automotive steel supply chain from 2020 to 2060 has been investigated, taking into account production structure adjustment, scrap recycling, and low-carbon electricity adoption, as well as the demand for automotive steel products. Projections from 2020 to 2060 indicate that the CO2 emission intensity of the automotive steel supply chain will decrease by 28.25 % by 2030 and 93.99 % by 2060, with total emissions dropping by 28.47 % and 96.92 %, respectively. This research identifies effective decarbonization measures in the automotive steel supply chain, including internal and end-of-life (EOL) steel scrap recycling, which offer significant CO2 emissions reduction without increased costs, demonstrating high cost-effectiveness. In a word, this research provides a technical framework and data foundation for decarbonizing the automotive steel supply chain.