Effective Supply Chain Management Research Articles

Theoretical foundations and practical implementation of supply chain optimization a metal fabrication business model

In the dynamic landscape of modern business, effective management of supply chains stands as a cornerstone of organizational success and competitive edge. This study investigates the theoretical principles and practical implementations of optimization models aimed at refining supply chain operations in the metal fabrication business, giving the maximum profit. It begins with a comprehensive survey of optimization theory, encompassing linear programming, integer programming, and stochastic optimization. It proceeds to their application in addressing diverse challenges encountered in supply chain management. The discussion includes deterministic models, such as those optimizing facility location under capacity constraints and transportation logistics, alongside stochastic models designed to manage uncertainties inherent in demand forecasting and inventory control. Advanced methodologies like metaheuristic algorithms and multi-objective optimization techniques are examined for their capacity to navigate the intricate and often conflicting objectives within supply chain networks. Through comprehensive theoretical analysis and a study of the supply chain model developed for the metal fabrication business, this paper contributes to advancing knowledge in mechanical engineering and supply chain management, offering insights pertinent to practitioners and researchers alike. Ultimately, it emphasizes the critical role of optimization models in optimizing efficiency, reducing costs, improving profit margin, reducing CO2 emission, and enhancing competitiveness in modern supply chain operations.

Apparel Supply Chain Management and Practice under the Perspective of Sustainable Development

Abstract: This study explores the challenges faced by the apparel industry and the means of attaining sustainable development via effective supply chain management amidst the backdrop of global economic integration and the evolving information technology landscape.Firstly, the current situation of the apparel industry is analyzed, including factors such as the increase in consumers' personalized demands, the increasingly fierce competition, the rising costs of labor and raw materials, and the growing consciousness of environmental preservation. The development status and problems of apparel supply chain management are then analyzed, including the excessively long supply chain, the lack of flexibility and adaptability in management, the opacity of information, the lack of a supplier evaluation system, and the neglect of sustainable development by enterprises. It further discusses achieving sustainable development in the apparel industry, including reducing water consumption and pollution, addressing the adverse consequences arising from the rapid turnover of fashion trends, promoting the construction of a circular supply chain, etc. Corresponding solutions are proposed. Finally, this study concludes how supply chain management and sustainable development practices can inject new vitality into apparel enterprises and achieve the industry's sustainable development goals.

The Role of Artificial Intelligence in Improving the Efficiency of the Company's Supply Chain

The development of technology, especially in the era of Industry 4.0, has significantly impacted various sectors, including supply chain management. Artificial Intelligence (AI), one of the leading technologies in Industry 4.0, has excellent potential to improve the efficiency and effectiveness of the supply chain. This study aims to identify the relationship between AI and the concept of supply chain management and analyze the practice of using AI to improve supply chain efficiency at PT. Pelita Media Nusantara. Using a descriptive-analytical method, this study examines various relevant literature and data. The results of the study indicate that the application of AI at PT. Pelita Media Nusantara has increased the supply chain's visibility, accuracy, and responsiveness. Implementing big data analytics, IoT sensors, and AI-based predictive systems allows companies to optimize procurement, production, and distribution processes. This case study also reveals that complex technology integration and the need for skilled human resources are the main challenges in implementing AI. This study provides important insights for academics and practitioners in developing more effective and efficient AI-based supply chain management strategies.

Adaptive Strategies and Sustainable Innovations of Chinese Contractors in the Belt and Road Initiative: A Social Network and Supply Chain Integration Perspective

As global economic integration and rapid technological advancements transform international business, international engineering contracting has become essential for achieving sustainable development goals (SDGs). This paper investigates the significant impact of China’s strategic initiatives, notably the “Going Global” strategy and the Belt and Road Initiative (BRI), on the operational practices of Chinese enterprises involved in overseas investments. Central to this transformation is the Engineering, Procurement, and Construction (EPC) model, which emphasizes the integration of supply chain management and stakeholder collaboration to enhance performance in international EPC projects and underscores the crucial role of these elements in promoting sustainability. Incorporating insights from social network data analysis, this study reveals that contractors collaborating with various stakeholders—such as owners/consulting engineers, domestic and foreign customs departments, and group headquarters/design parties—exhibit a high degree of similarity in personnel profiles. This suggests that the internal organizational structure and personnel allocation of contractors could be optimized to enhance operational efficiency, aligning with the collaborative patterns identified. This study addresses a critical research gap by exploring how effective supply chain management and collaborative stakeholder engagement within multinational EPC projects contribute to sustainable outcomes. Employing advanced social network analysis software, the research examines the complex interactions among stakeholders and their influence on procurement dynamics. Findings indicate that strong relational networks and strategic collaborations significantly enhance procurement efficiency and project success, underscoring the importance of supply chain integration. Ultimately, integrating supply chain management principles into the EPC model not only offers innovative perspectives for advancing sustainability in international projects but also provides actionable insights for improving project outcomes within the BRI framework. This research underscores the pivotal role of supply chain organization and stakeholder cooperation in achieving sustainability objectives, thereby enriching the discourse on sustainable enterprise operation and supply chain management in the context of global initiatives.

Information sharing's impact on supply chain management, logistics, and organizational performance

This study investigates the relationships between supply chain management (SCM), logistics capability, information sharing, and organisational performance. Data was collected from 120 respondents in [industry/sector] using a quantitative research approach. The results of the analysis indicate that SCM, logistics capability, and information sharing are all positively and significantly related to organisational performance. Effective SCM practices, including integration, collaboration, and strategic planning, are essential for driving organisational success. Logistics capability, including delivery speed, dependability, and flexibility, is crucial in improving customer satisfaction and overall efficiency. Information sharing is a critical enabler of effective SCM and organisational performance, fostering collaboration, decision-making, and innovation. The study also found that demographic factors (gender, age, education) had limited impact on the relationships between the constructs. This suggests that the findings are generally applicable across different demographic segments. Overall, this study's findings highlight the importance of effective SCM, logistics capability, and information sharing as key drivers of organisational performance. Organisations prioritising these factors are more likely to achieve sustainable success in today's competitive business environment.

Enhancing Supply Chain Management for Improved Performance: A Case Study of Mambilla Beverages Nig. Limited

In today's dynamic business environment, effective supply chain management (SCM) is crucial for organizations seeking to enhance performance and gain a competitive edge. This study investigates the impact of Supplier Relationship Management (SRM) and Transportation Efficiency (TE) on the performance of Mambilla Beverages Nig. Limited (MBNL). The research adopts a quantitative approach, utilizing survey data collected from 171 respondents within the organization. The findings reveal significant positive effect of SRM, TE, on MBNL's performance, as evidenced by regression analysis results. Specifically, the study finds that strong supplier relationships and efficient transportation logistics significantly contribute to MBNL's sales performance. Based on these findings, recommendations are provided for MBNL to strengthen supplier relationships, enhance transportation efficiency, embrace technology, and prioritize training and development initiatives. By implementing these recommendations, MBNL can optimize its supply chain operations, improve operational efficiency, and achieve sustainable growth in the competitive beverage industry.

Research on Supply Chain Optimization and Management Based on Deep Reinforcement Learning

This research introduces a groundbreaking approach to supply chain optimization and management, termed as Deep Reinforcement Learning based Supply Chain Optimization and Management (DRL-SCOM). At the core of this approach is the utilization of advancements in Deep Reinforcement Learning (DRL), specifically through the integration of Randomized Ensembled Double Q-learning (REDQ) and Trust Region Policy Optimization (TRPO). DRL-SCOM is designed to effectively tackle the inherent complexities and dynamic challenges that are characteristic of supply chain management. One of the key strengths of DRL-SCOM lies in its use of REDQ, which plays a crucial role in mitigating the overestimation bias commonly associated with traditional Q-learning methods. This results in more accurate value estimation and policy improvement, a critical factor in the effective management of supply chains. Additionally, the integration of TRPO into the framework brings the advantage of safe and stable policy updates. Such stability is vital for maintaining the robustness required in the fluctuating environment of supply chain operations. The combination of REDQ and TRPO in DRL-SCOM creates a powerful synergy. REDQ’s ensembled learning approach, when fused with TRPO’s trust-region method, enables the framework to efficiently navigate the complex and high-dimensional decision space typical of supply chains. This allows for real-time optimization of decisions while staying within operational constraints. The DRL-SCOM methodology shows significant potential in addressing various aspects of supply chain management, from demand forecasting and inventory management to logistics, adeptly handling the nonlinearities and uncertainties that are prevalent in these areas. Thus, the DRL-SCOM framework emerges as an innovative solution, pushing the frontiers of traditional supply chain management. It paves the way for a more agile, responsive, and intelligent system, equipped to adapt to changing market demands and operational challenges. This approach represents a significant stride towards transforming supply chain management into a more advanced, data-driven, and adaptive field.

Sustainable Strategies for Improving Humanitarian Supply Chain Management in the United Nations Using Dynamic Capability Theory

The purpose of the qualitative multiple case study was to explore the strategies some supply chain managers of the United Nations (UN) use to leverage operational efficiencies in the UN humanitarian programs. As a result, communities supporting sustainability and peace or those fostering economic development will be able to respond effectively to humanitarian crises. Moreover, the UN can remain operational and engage in political and conflict-reduction interventions integral to economic and social recovery and sustainability. This study applied the qualitative multiple case study through semi-structured interviews with nine supply chain managers in the United Nations, direct observations, document analysis, and artifacts. The research is grounded in the dynamic capability theory (DCT). The research revealed several strategies that supply chain managers of the UN use to ensure operational efficiencies grouped around three themes: (a) analytical, innovation, and knowledge management strategies; (b) effective supply chain management leadership strategies; and (c) risk management strategies. This study is one of the first to apply generic findings of humanitarian supply chain studies to the United Nations, the global organization with diverse mandates that continuously strives to achieve efficiencies required by donors providing financial support, thus remaining operational. The study’s results could help leaders in the various humanitarian organizations who operate in vulnerable environments and under strict scrutiny from donors to deliver their aid programs most efficiently by understanding dynamic capabilities. Previous studies indicate the lack of strategic frameworks applicable to the United Nations that could improve decision-making at the strategic, tactical, and operational levels, facilitate collaboration among supply chain stakeholders, and reduce the costs of the operational performance of the supply chain system in the UN.

Developing a Logistics Ontology for Natural Language Processing

The business area requires the presence of Supply Chain services, to respond to the constantly evolving requirements. Supply chains are dynamic networks that include a continuous flow of processes, starting with the supplier and ending with the customer. For effective supply chain management, a conceptual understanding of the knowledge underlying this field is of utmost importance. On the other hand, ontologies are considered one of the most appropriate ways of representing knowledge and valuable tools for decision-making situations. The purpose of this paper is to present an ontology created to identify the common concepts of supply chain management systems, with the ultimate goal of supporting and promoting Natural Language Processing technologies through the representation of terminological knowledge for this specific field.

أثر إدارة سلاسل التوريد على كفاءة وتكاليف شركات النقل بالمملكة العربية السعودية

This study aims to explore the impact of supply chain management on the efficiency and costs of transportation companies in the Kingdom of Saudi Arabia. The study is of particular importance in light of the major economic transformations witnessed by the Kingdom within Vision 2030, which seeks to enhance economic diversification and improve the efficiency of various sectors, including the transportation sector. The descriptive analytical approach was used to achieve the objectives of the study. Data were collected through a questionnaire distributed to a random sample of 165 transportation companies in the Kingdom, where the sample included supply chain managers and senior management in various companies. The results showed that there is a positive and noticeable impact of effective supply chain management on improving operational efficiency and reducing costs in transportation companies. It was also shown that adopting modern technologies and developing relationships with suppliers and distributors contribute significantly to enhancing the overall performance of companies. Based on these results, the study recommends the need to invest in developing supply chain management systems and adopting modern technology to enhance efficiency and reduce costs, in addition to enhancing cooperation and communication between companies and suppliers to achieve better performance and increase competitiveness in the local and regional market.

An integrated BWM–SWARA approach to identify barriers in implementing reverse logistics for an effective supply chain management: a critical study of five bottle manufacturing companies in Odisha (India)

An integrated BWM–SWARA approach to identify barriers in implementing reverse logistics for an effective supply chain management: a critical study of five bottle manufacturing companies in Odisha (India)

Optimizing Supply Chain Management: Strategies for Enhancing Efficiency and Reducing Costs in Manufacturing Industries

The optimization of supply chain management (SCM) is crucial for enhancing efficiency and reducing costs in manufacturing industries. This study employs a qualitative research approach to explore various strategies for SCM optimization. Data were collected through semi-structured interviews with SCM experts, focus groups with key stakeholders, and an extensive review of secondary sources. The analysis reveals that the integration of information technology (IT), including ERP systems, supply chain management software, cloud computing, and the Internet of Things (IoT), significantly enhances supply chain visibility and coordination, leading to improved decision-making and reduced lead times. Additionally, lean manufacturing and Just-In-Time (JIT) practices are found to be effective in minimizing waste, optimizing inventory levels, and aligning production schedules with market demand, thereby reducing costs and increasing operational efficiency. Strategic supplier partnerships and collaborations play a vital role in achieving synchronization across the supply chain, improving quality, and managing risks. The adoption of sustainability and green supply chain management (GSCM) practices is also highlighted as a key driver for cost reduction and efficiency improvement. These practices not only enhance environmental performance but also drive innovation and provide a competitive advantage. However, the study acknowledges the challenges associated with implementing these strategies, including high initial costs, the need for skilled personnel, and the complexity of managing multiple supplier relationships. Despite these challenges, the findings suggest that a holistic approach to SCM optimization, integrating traditional methods with cutting-edge technologies, can significantly enhance supply chain performance. This research provides valuable insights for both academia and industry practitioners, offering practical guidelines for implementing effective SCM strategies. By adopting these strategies, manufacturers can build resilient and adaptive supply chains capable of meeting the evolving demands of the global market, ensuring sustainable growth and competitiveness.

The analysis of the impact of different supply chain factors using statistical perspective

Supply Chain Management (SCM) is an essential part of modern business and involves the coordination of procurement, production, and logistics. Effective SCM allows organizations to remain competitive and reduce costs. With the growth of the global marketplace, SCM is becoming increasingly important for businesses to compete. The most important aspect of SCM is to understand the components of the supply chain, which form a network of organizations involved in value-added processes and activities. The supply chain network consists of multiple components, indicating that the success of an organization's SCM depends on the combination of multiple influencing factors. This paper utilizes the supply chain data of several well-known companies, uses a dozen variables such as inventory turnover ratio, lead time, and supplier count as independent variables, and analyzes the effects of these different supply chain influencing factors on operational efficiency, supply chain resilience, and supplier relationship through multiple linear regression models. This study finds that many different supply chain factors, like transportation cost efficiency, delivery time, and others, have the greatest impact on the above-mentioned factors. This analysis may help companies to comprehensively assess their supply chain maturity and strategically enhance their supply chain attributes to achieve their business development goals.

Analysis of the National Formulary Drug Supply Chain with Its Availability in the Pharmacy Installation of the Government General Hospital (RSUD) Dr. Sitanala Tangerang City

This study explores the pharmaceutical supply chain management of the National Formulary at RSUP Dr. Sitanala in Tangerang City, aiming to identify obstacles to drug availability and formulate effective and efficient solutions. Acknowledging quality healthcare as a fundamental human right and a critical investment for a nation's future, this research emphasizes the importance of high-quality healthcare services. These services encompass not only treatment but also health promotion and disease prevention through the adoption of clean and healthy living habits. Drug availability is a major pillar in the provision of quality healthcare services. Effective and efficient management of the pharmaceutical supply chain, particularly regarding National Formulary drugs, is crucial in ensuring the availability of medications at healthcare facilities. This research employs a comprehensive analysis of the supply chain processes at RSUP Dr. Sitanala, examining stages such as drug selection, demand planning, procurement, receipt, storage, distribution, drug control, therapy monitoring, prescription preparation, drug dispensation, and medication administration. The study's methodology involves a case study approach, integrating theoretical management principles and interdisciplinary pharmacy management with compliance to regulations, as outlined in Permenkes No. 76 of 2016. Findings from RSUP Dr. Sitanala indicate that the hospital's pharmaceutical management practices align with contemporary health and pharmacy management theories, emphasizing structured systems, stringent verification, and effective interprofessional communication to ensure medication safety and efficacy. The study identifies challenges in information technology and interdisciplinary coordination as areas needing improvement. Nonetheless, a commitment to continuous improvement and adherence to regulatory standards reflects RSUP Dr. Sitanala's dedication to enhancing the quality of pharmaceutical management and healthcare services. The implications of this research extend beyond RSUP Dr. Sitanala, offering valuable recommendations for improving drug supply chain management in other healthcare institutions in Indonesia. By enhancing access to and the quality of healthcare services, this study contributes to the broader goal of achieving the highest possible level of health for individuals, reflecting the perspective of human rights and investment in the nation's future health.

Strategic and tactical planning model for the design of perishable product supply chain network in Ethiopia

This article discusses the challenges associated with ensuring food security for a growing global population and emphasizes the critical role of the Agri Fresh Food Supply Chain in addressing these challenges such as mitigating food insecurity and reducing wastes. The economic repercussions of inefficiencies in perishable supply chains impact businesses' profit margins and consumers' access to essential goods. The focus is on the effective management of the complex perishable product supply chains, considering the economic significance of this sector and the need for advanced strategies to optimize the flow of time-sensitive products. The study discusses the limited consideration of product intrinsic characteristics in strategic and tactical planning decisions. The research aims to contribute to supply chain management by proposing a mathematical model (multi echelon, multi product, and multi period) for designing a perishable product supply chain network, considering factors like perishability, quantity discount policy, souring strategies and business continuity. The study explores the impact of these factors on the Agri Fresh Food Supply Chain design and its overall performances. Although the proposed model is designed to be applicable to any country or region, but its capabilities are shown through a real case study in Ethiopia. Results show that a agri-food supply chain design model that considers the intrinsic characteristics of the product, processing capacity level, and quantity discount leads to improved configurations of the food supply chain regardless of adding the associated cost.

Digitization of logistics and supply chain management

The article presents theoretical and applied aspects of digitalization of logistics and supply chain management. It is emphasized that the processes of digitalization of supply chains and logistics are a modern requirement for increasing business efficiency, as well as solving environmental, social and management problems of successful companies. Digitization of supply chains and logistics is defined as the integration of digital technologies and the implementation of digital tools to optimize, automate and increase the efficiency of all stages of the logistics process. Key modern technologies in logistics and supply chains are examined, including artificial intelligence (AI), the Internet of Things (IoT) and Big Data. The role of AI in optimizing logistics processes, forecasting market behavior, inventory management and route planning is outlined. Emphasis is placed on the importance of IoT for tracking goods, monitoring storage conditions and vehicle maintenance. The role of Big Data in optimizing supply chains, improving decision-making and compliance with regulatory requirements is analyzed. The use of digital documentation and electronic document circulation are highlighted as important areas of digitization. The difference between digitization of documents and digitalization of document circulation is revealed: digitization, or digital preservation, refers to the transfer of information from paper documents to electronic format for convenient and safe storage of files and access to them in the future; digitalization involves the creation of documentation in computer applications, its intelligent processing and analysis, its accumulation in digital repositories, and the wide use of its data to solve various problems. It is noted that one of the main directions of digitization of documents is the automated reading of documents and data entry, which is implemented using specialized software for automatically extracting information from paper documents and entering it into digital systems. The list of the main logistics documents that are subject to digitization and the digitization of which leads to an increase in the efficiency of the supply chain (delivery confirmation, bill of lading, packing lists, invoices, cargo manifest, etc.) is provided. It was concluded that digitalization of logistics is a significant factor for modern companies seeking to increase their competitiveness in the market. It also enables the integration of all company divisions, improves product tracking, speeds up customs procedures, optimizes transport costs and increases the flexibility of return management. Despite the shortcomings that accompany this process, digitalization of logistics is necessary to achieve sustainable development and effective management of supply chains in today's world.

Supply chain management and operational efficiency in affordable housing: An integrated review

Effective supply chain management (SCM) and operational efficiency are critical to the successful delivery of affordable housing projects. This integrated review explores how SCM and operational practices impact the development and sustainability of affordable housing, highlighting strategies that enhance project efficiency and cost-effectiveness. Supply chain management in affordable housing involves coordinating the flow of materials, information, and services from suppliers to construction sites. Efficient SCM ensures that resources are delivered on time, within budget, and to the required quality standards, which is crucial for maintaining project schedules and controlling costs. Key components of SCM in this sector include procurement, logistics, inventory management, and supplier relationship management. Effective SCM practices help mitigate risks related to delays, cost overruns, and quality issues. Operational efficiency in affordable housing focuses on optimizing construction processes, minimizing waste, and enhancing productivity. This involves adopting best practices in construction management, such as lean construction techniques, modular and prefabricated building methods, and advanced project management tools. Operational efficiency also extends to the management of workforce resources, ensuring that labor is effectively utilized and that productivity is maximized. The review integrates insights from various case studies and industry reports to illustrate how SCM and operational efficiency practices can be applied in affordable housing projects. For instance, the adoption of just-in-time inventory systems and the use of technology for real-time tracking and coordination have proven effective in reducing costs and improving delivery times. Additionally, lean construction methods have demonstrated their potential in enhancing project efficiency and reducing waste. However, challenges remain, including supply chain disruptions, fluctuating material costs, and coordination issues among stakeholders. Addressing these challenges requires a collaborative approach, involving stakeholders such as developers, contractors, suppliers, and policymakers. In conclusion, effective supply chain management and operational efficiency are essential for the successful development of affordable housing. By adopting best practices and leveraging technology, stakeholders can improve project outcomes, reduce costs, and enhance the overall efficiency of affordable housing projects. This integrated review underscores the importance of SCM and operational practices in achieving sustainable and cost-effective housing solutions.

Analysis of Inventory Management System at Pharmacy of XYZ Hospital

This research examines inventory management at the XYZ Hospital Pharmacy Installation in Bandung, with a special focus on medicines and medical devices. The background to this research is the significant increase in health costs and the importance of effective supply chain management to reduce unnecessary costs. Based on monthly stock and daily sales data from October 2023 to February 2024, this research uses quantitative methods to calculate optimal inventory levels, including Economic Order Quantity (EOQ), safety stock, and reorder point (ROP). This research also applies ABC analysis and cycle counting to prioritize inventory control. The research results show that the proposed inventory policy, especially the continuous review strategy, has the potential for significant cost savings for the XYZ Hospital Pharmacy Installation. For pharmaceutical products, achieving a 99% service level can result in savings of IDR 302,697,429, which is 48.17% of the average inventory level. For medical devices, potential savings reach IDR 70,602,064, which is 48.77% of the average inventory level. The total potential savings for all products is IDR 373,299,493. These findings highlight that hospitals currently do not have effective controls in managing inventory of single-use medical devices. Implementing strong inventory policies and procedures is critical to improving cost efficiency and optimizing inventory levels within an organization.

Electronic Logistic Management Information System in Public Health Facilities and Its Implications for the Medicine Supply Chain in Singida District Council, Tanzania.

The effective management of the medicine supply chain is crucial for ensuring the availability of essential medicines and supplies in public health facilities. This study aimed to determine the utilization of the electronic logistic management information system (e-LMIS) in public health facilities and its implications for the medicine supply chain. A mixed methods approach, combining both quantitative and qualitative data collection methods, was used. The study included 106 healthcare providers from 35 public health facilities in Singida District. Six key informants were interviewed using a qualitative method. Of the 106 participants, 62.3% said they were somehow competent in e-LMIS utilization. In in-depth interviews, respondents underscored the system's utility for tracking stock levels, procurements, and managing orders. Staff shortages and a lack of customized training were mentioned as major challenges hindering efficiency in managing drug supplies. This study highlighted the positive impact of e-LMIS on various aspects of the medicine supply chain, including the timely submission of orders and enhanced inventory management. Sustained management support and the regular utilization of the e-LMIS system are crucial for building and maintaining competence among healthcare providers, thereby optimizing the medicine supply chain and ultimately improving healthcare delivery.

Optimization and Benefit Assessment of Production Supply Chain Networks Using Graph Neural Network Models

With the flourishing development of global economy, effective management of production supply chains is crucial for the competitiveness of enterprises. Optimizing supply chain networks can not only improve the efficiency of resource allocation but also enhance market responsiveness and systemic risk resistance. Traditional supply chain network optimization methods, focusing mostly on linear models and static analysis, fall short in addressing the growing complexity and dynamism. The emergence of Graph Neural Network (GNN) models in recent years has offered new opportunities to tackle non-linearity and structural dynamism in supply chain networks. However, existing research still faces methodological limitations in supply chain node relationship mining and benefit assessment. This study introduces an optimization and benefit assessment method for production supply chain networks based on GNNs. Firstly, by developing a node role type-aware graph neural network model, this paper achieves in-depth mining and optimization of node relationships within production supply chain networks. Secondly, a hierarchical factor analysis method is used to comprehensively assess the benefits of the production supply chain. This method can dynamically capture changes in node roles and relationships within the supply chain network, optimize the network structure, and provides a multidimensional, multilevel framework for benefit assessment. This study not only expands the application of GNN in the field of supply chain management but also provides a new analytical tool for the comprehensive assessment of supply chain benefits.