Link In Supply Chain Research Articles

Nested benders decomposition for a deterministic biomass feedstock logistics problem

AbstractIn this paper, we address a biomass feedstock logistics problem to supply biomass from production fields to satellite storage locations (SSLs) and from there to bioenergy plants (BePs) and then to a biorefinery. It entails a new problem feature of routing load-out equipment sets among the SSLs to perform loading/unloading of biomass and/or its pre-processing operations. The ownership of the loading equipment is a very capital-intensive link of the ethanol production supply chain, which when loaded onto trucks and routed along the logistics chain significantly brings down the ethanol production costs. This will make ethanol a cost-competitive alternative to fossil fuels, lead to sustainable use of fossil fuels and add to the overall relevance of the bioenergy sector. In this regard, the objective of our problem is to minimize the total cost incurred due to the ownership of equipment sets, fixed setups, and land rental cost, as well as the cost of transporting biomass from the fields to the BePs and biocrude oil from the BePs to the refinery. A mixed-integer mathematical model of the problem is presented, and a nested Benders decomposition-based solution approach is developed which involves decomposing this large problem into three stages. Stage 1 deals with the selection of fields, BePs, and SSLs, and assignment of fields to the SSLs. The remaining model consists of multiple Capacitated Vehicle Routing Problems (CVRPs) that are separable over individual BePs. For each BeP, the CVRP is further decomposed into Stage 2 and Stage 3 sub-problems where the Stage 2 problem is an allocation problem that assigns SSLs to tours associated to each BeP, and the Stage 3 problem is a variant of Traveling Salesman Problem (TSP) that determines the sequence in which equipment is routed over the predesignated set of SSLs for each tour. These sub-problems are integer programs rather than linear programs. First novelty of our proposed approach is to effectively handle the integrality of variables arising due to the consideration of the routing of load-out equipment. Second is solution methodology and in the use of proposed multi-cut version of optimality cuts that capture the solution value at an integer solution for the sub-problems. These cuts aid in faster convergence and are shown to be stronger than those proposed in the literature. The applicability of the proposed methodology is demonstrated by applying it to a real-life problem that utilizes available GIS data for the catchment area of regions around Gretna and Bedford in Virginia. We then solved a set of varying problem size instances using the state-of-the-art CPLEX® Branch-and-Bound and Benders Strategy methods. The CPLEX® algorithms struggled to solve instances even 10 times smaller than the real-life problem size instances; with MIP optimality gaps ranging from 5.85% to 82.79% in the allowed time limit of 10,000 s. On the other hand, our proposed nested Benders decomposition algorithm was able to achieve faster convergence and provided optimal solutions for all the considered problem instances with an average CPU run-time of around 3,700 s. This validates the efficacy and superiority of our solution approach. Lastly, we summarize our work and point out some interesting potential future research opportunities.

Linking Supply Chain Performance, Supply Chain Resilience, and Organizational Recovery Capability: A Proposed Conceptual Model

Linking Supply Chain Performance, Supply Chain Resilience, and Organizational Recovery Capability: A Proposed Conceptual Model

Exploring the critical factors in pharmaceutical supply chains revealed during COVID-19 and addressing missing links

The COVID-19 pandemic revealed profound weaknesses in global pharmaceutical supply chains, resulting in widespread shortages of critical medical supplies, delayed drug manufacturing, and disruptions in vaccine distribution. These supply chain vulnerabilities were exacerbated by several key factors, including an overreliance on a limited number of countries for active pharmaceutical ingredients (APIs), insufficient local manufacturing capacity, and logistical constraints in transportation and distribution networks. The pandemic also exposed inefficiencies in regulatory frameworks, leading to delays in approvals and limited agility in responding to rapidly changing demands. Furthermore, the lack of transparency and real-time monitoring across global supply chains hindered effective decision-making and coordination, aggravating the crisis. This paper provides an in-depth analysis of the critical factors that contributed to pharmaceutical supply chain disruptions during COVID-19, identifying missing links such as the need for diversification of supply sources, enhanced flexibility in manufacturing processes, and the integration of advanced technologies like artificial intelligence (AI), blockchain, and automation for supply chain optimization. The analysis highlights how supply chain visibility, digital innovation, and risk management strategies could improve resilience in the face of future global health crises. In addition to identifying these challenges, the paper proposes solutions to address the missing links in pharmaceutical supply chains, including the decentralization of production, the development of regional manufacturing hubs, and the creation of public-private partnerships to bolster local production. The role of government policies in facilitating faster regulatory approvals, fostering international cooperation, and incentivizing innovation is also explored. Case studies on successful post-COVID-19 adaptations, such as the rapid scale-up of vaccine production and the reconfiguration of personal protective equipment (PPE) supply chains, offer insights into effective strategies for building more resilient systems. Ultimately, this paper underscores the importance of a collaborative, multi-stakeholder approach to ensuring the stability and security of pharmaceutical supply chains. It calls for proactive measures to strengthen global supply chain infrastructures, improve regulatory agility, and embrace emerging technologies that can predict and respond to disruptions. These steps are crucial to safeguarding the continuous delivery of essential pharmaceuticals during future pandemics or other large-scale disruptions, ensuring global health security in an increasingly interconnected world.

Improving efficiency and sustainability via supply chain optimization through CNNs and BiLSTM

Supply chain management is changing rapidly due to increasing complexity, uncertain demand, and the requirement for sustainable methods. Advanced technologies like Bidirectional Long Short-Term Memory networks (BiLSTM) and Convolutional Neural Networks (CNNs) can enhance supply chain processes. This paper proposes integrating CNNs and BiLSTM models to improve supply chain efficiency and sustainability. The proposed model employs CNNs to optimize resource allocation, uncover trends, and evaluate supply chain spatial linkages. Using BiLSTM models to capture temporal correlations allows accurate demand forecasting and proactive decision-making. Combining these models explains supply chain dynamics. CNNs and BiLSTM models' adaptive learning and real-time monitoring boost efficiency by responding quickly to changing situations. Predictive analytics optimizes inventory, lowers stock outs, and cuts lead times. Sustainability factors include transportation route optimization, carbon footprint minimization, and intelligent green-sourcing decision assistance. The proposed Hybrid Model achieved 94.65 % Specificity, 96.57 % Accuracy, 95.67 % Sensitivity and 0.85 % MCC. The result analysis demonstrates that the proposed model significantly improved the accuracy level. This research sheds light on supply chain difficulties from all sides. CNNs and BiLSTM models can boost operational efficiency and link supply chain practices with sustainability goals to produce a more sustainable global supply network.

A better environment at the expense of export growth: A supply‐chain linkage perspective

AbstractWe estimate the impacts of the 2017–2019 Chinese solid waste import ban on export growth through the channel of supply chain linkages. Using Chinese firm‐level transaction data from 2016, we constructed product‐level measures of import ban exposure to capture supply chain linkages. We find that exports with higher import ban exposure experience lower export growth after the import ban policy is implemented. Our results suggest that a 1% increase in exposure to the import ban of a product would lead to a reduction of its export growth by almost 2%. The effects are more prominent when export products have the closest characteristics to the banned solid waste. We also find that importing prices of solid wastes surge after the implementation of the policy, which leads to a higher price for exports that undermines the competitiveness of Chinese exports and results in lower export growth.

Mapping Supply Chain Linkages and Farmers’ Income: A Bibliometric Review

Mapping Supply Chain Linkages and Farmers’ Income: A Bibliometric Review

Blockchain-based proxy re-encryption access control method for biological risk privacy protection of agricultural products

In today’s globalized agricultural system, information leakage of agricultural biological risk factors can lead to business risks and public panic, jeopardizing corporate reputation. To solve the above problems, this study constructs a blockchain network for agricultural product biological risk traceability based on agricultural product biological risk factor data to achieve traceability of biological risk traceability data of agricultural product supply chain to meet the sustainability challenges. To guarantee the secure and flexible sharing of agricultural product biological risk privacy information and limit the scope of privacy information dissemination, the blockchain-based proxy re-encryption access control method (BBPR-AC) is designed. Aiming at the problems of proxy re-encryption technology, such as the third-party agent being prone to evil, the authorization judgment being cumbersome, and the authorization process not automated, we design the proxy re-encryption access control mechanism based on the traceability of agricultural products’ biological risk factors. Designing an attribute-based access control (ABAC) mechanism based on the traceability blockchain for agricultural products involves defining the attributes of each link in the agricultural supply chain, formulating policies, and evaluating and executing these policies, deployed in the blockchain system in the form of smart contracts. This approach achieves decentralization of authorization and automation of authority judgment. By analyzing the data characteristics within the agricultural product supply chain to avoid the malicious behavior of third-party agents, the decentralized blockchain system acts as a trusted third-party agent, and the proxy re-encryption is combined with symmetric encryption to improve the encryption efficiency. This ensures a efficient encryption process, making the system safe, transparent, and efficient. Finally, a prototype blockchain system for traceability of agricultural biological risk factors is built based on Hyperledger Fabric to verify this research method’s reliability, security, and efficiency. The experimental results show that this research scheme’s initial encryption, re-encryption, and decryption sessions exhibit lower computational overheads than traditional encryption methods. When the number of policies and the number of requests in the access control session is 100, the policy query latency is less than 400 ms, the request-response latency is slightly more than 360ms, and the data uploading throughput is 48.7 tx/s. The data query throughput is 81.8 tx/s, the system performance consumption is low and can meet the biological risk privacy protection needs of the agricultural supply chain. The BBPR-AC method proposed in this study provides ideas for achieving refined traceability management in the agricultural supply chain and promoting digital transformation in the agricultural industry.

Enhancing Enterprise Efficiency through Cross-Domain Supply Chain Linkage Management

In recent years, with the complexity and variability of international finance, debt, and geopolitical risks, the growth rate of domestic economic operations has slowed down. More enterprise groups are facing the transformation and upgrading from domestic leadership to internationalization, achieving revenue growth of nearly 10 billion yuan per year against the trend. The severe and complex internal and external environment has brought many challenges to the supply chain for enterprises. This article focuses on the goal of an “enterprise supply chain system focusing on value creation, strengthening system linkage, and improving overall chain efficiency,” aiming to find solutions to problems such as strong demand variability, frequent emergency needs, coexistence of project shortages and inventory surplus, long material turnover cycles, and high organizational complexity. By searching for key activities in the entire business chain of demand, design, production, service, and finance, implementing source planning, process control, system linkage, analysis and summary, and team collaboration, we have achieved more scientific demand forecasting, more accurate planning, more effective procurement cost reduction, more stable production performance supply, more convenient inventory sharing services, and more efficient integration of business and financial policies.

Biodiversity impact assessment for finance

AbstractBiodiversity loss, driven by human activities, significantly affects the environment, human societies, and economies. Using the extended multi‐regional input–output (EEMRIO) and life cycle assessment (LCA) techniques, we offer insights into how these methodologies can be used to inform financial decisions related to biodiversity focusing on two key aspects: biodiversity impacts and ecosystem service dependencies. Our method combines spatially explicit characterization factors from LC‐IMPACT with the Global Resource Input‐Output Assesment (GLORIA) database to estimate biodiversity impacts. As a case study we assess the biodiversity impact of the MSCI All Country World Index (MSCI ACWI) which consist of about 3000 large‐ and mid‐sized companies, from 23 developed and 24 emerging countries. The results demonstrate that most of the biodiversity impact is caused in the Americas, followed by Asia, despite its low representation in the index's country weight (6%). Europe shows the least impact. These results emphasize the need to account for global supply chain linkages as products sold in one country might have significant biodiversity impacts elsewhere due to sourcing of production inputs. Second, our results identify the main determinants of the index's impact: land use, followed by water stress and climate change. Although most of the impact is localized in few sectors, the distinct characteristics of these sectors require industry‐specific mitigation approaches. Finally, double materiality results show both, the influence companies have on biodiversity and the reciprocal effects. Companies neglecting these impacts risk financial setbacks, making it a crucial concern for investors.

Study on the Influences of Inter-Governmental Information Flow and Interdepartmental Collaborative Supervision on Pork Quality: A Case Study in China.

To study the influences of the degree of interdepartmental collaborative supervision on the behavioral strategy selection of pig farmers, pig slaughterers, and pork processing manufacturers in the pork supply chain system, this study established a three-party evolutionary game model involving pig farmers, pig slaughterers, and pork processing manufacturers based on the social co-governance framework by focusing on the interdepartmental information sharing mechanism and cooperative governance. Here, we examined how the degree of collaborative supervision among government departments influences the behavioral strategy selection of these parties by focusing on key mechanisms such as information sharing and interdepartmental collaborative governance. Our findings revealed that within a social co-governance system, the strategic choices of the three entities in the pork supply chain closely correlate with the coordination level of collaborative supervision among government departments, particularly through information-sharing mechanisms. Additionally, the strategies are influenced by market-based contract supervision among entities, consumer reporting intensity, and the collaborative governance capabilities of the government, market actors, and consumers. Higher levels of social co-governance are associated with fewer risky links in the pork supply chain and reduced overall risk. Key factors affecting the behavioral strategy selection of the subjects in the pork supply chain include interdepartmental collaborative governance among government departments (e.g., optimizing random inspection frequencies, adjusting economic penalties, and disclosing enterprise market credit information via information sharing mechanisms), consumer complaint probabilities, and the intensity of mutual supervision among enterprises. Therefore, to enhance pork supply chain quality and mitigate risks, it is crucial to enhance the coordination of collaborative supervision among government departments, encourage consumer reporting, and improve market-based mutual supervision mechanisms among upstream and downstream subjects in the supply chain.

TRUCK EQUIPMENT DEVELOPMENT PROSPECTS AND FEATURES OF ITS USE IN THE CONDITIONS OF AUTOMATION OF PORT TERMINALS

The modern trends in the development of cargo equipment in ports are considered in the article. Modern ports are an important link in global supply chains, and the efficiency of their work directly affects the cost of goods and related services provided during cargo transshipment, storage, and passage through port terminals. Cargo equipment used at various stages of cargo transshipment plays an important role in optimizing port operations.Using universal equipment significantly increases the productivity of the port, reduces the downtime of ships and other types of transport, and allows efficient use of warehouse space and available personnel. The main problem that ports face when choosing equipment is its cost and payback period, which directly affect the efficiency of the port and its competitiveness.Throughout historical development, ports have had both a negative and a positive impact on the regions and communities in which they are located. On the one hand, they contribute to the development of the region, its transport and logistics infrastructure, can stimulate economic productivity and growth, and on the other hand, their activity requires energy, creates negative external effects, worsens the ecological situation in the region.The issue of the development of cargo equipment and the efficiency of its use is relevant and requires further research in connection with the emergence of new trends related to the automation and robotization of these processes, the introduction of elements of artificial intelligence, which significantly increase the problem of ensuring cyber security of the port.Automation of the port industry contributes to the transformation of traditional ports into smart global transport complexes. The effectiveness of their activities is determined primarily by the use of advanced technologies and practices, and the results affect not only the cost of port services, but also the reduction of costs and the improvement of the quality of the entire transport and delivery chain.Like any innovative process, automation has its advantages and disadvantages, which were noted in the work. There are also significant barriers to automation, especially for the modernization of existing ports.Environmental standards and innovative cargo delivery technologies, increasing requirements for the quality of transshipment services and the need to reduce costs in order to maintain competitiveness will force traditional ports to switch to automation of transshipment equipment in order to increase its efficiency.

How can firms implement smart manufacturing through supply chain collaboration? A multiple-case study from China

The complex system characteristics of Smart manufacturing (SM) require firms collaborating with supply chain members to implement SM transformation. However, the motives, methods, and influencing factors of such collaboration remain unclear. Addressing this gap, we conduct a multi-case study of four manufacturing firms and obtain three findings based on complex adaptive system theory. First, the motives of supply chain collaboration include the adaptation to the environment of high customisation, technical complexity, policy, and horizontal competition. Second, firms collaborate with supply chain members in terms of equipment customisation and information interconnection, to establish the data and equipment foundation of SM. This process is affected by the scale and volume of invested resources. Based on these, firms further build collaborative platforms to realise the integrated management of all supply chain links and improve the SM capability through the iteration of solutions, which are affected by the degree of security in data sharing. Third, supply chain collaboration improves the quality and satisfaction, reduces the cost, and shortens the cycle of SM implementation. This study not only addresses whether and how supply chain collaboration influences SM implementation, but also provides guidance to help companies implement SM through a gradual multi-stage collaboration in supply chain.

A Study on the Reform of Practical Teaching in Purchasing Management Course

With the development of a globalized economy and rapid changes in the market environment, procurement management, as a key link in the enterprise supply chain, has an increasing demand for professional talents. However, the traditional teaching mode of procurement management often difficult to meet the industry's composite demand for high-quality procurement management talents, and there are problems such as the disconnection between theory and practice and the obsolescence of teaching resources. Therefore, the practical teaching reform of procurement management courses has become an important task to improve the quality of education and cultivate students' comprehensive ability. This paper analyzes the current problems in the teaching of procurement management, puts forward targeted reform measures, and discusses the importance of these measures to enhance students' practical ability and theoretical application abilities.

The supply chain of Javan spitting cobra (Naja sputatrix) utilization in cobra satay businesses in Jakarta, Indonesia

Abstract. Utama SE, Santosa Y, Masyud B. 2024. The supply chain of Javan spitting cobra (Naja sputatrix) utilization in cobra satay businesses in Jakarta, Indonesia. Biodiversitas 25: 2086-2092. One frequently utilized reptile is the Javan spitting cobra (Naja sputatrix). Apart from Indonesia, countries that utilize cobras are China and India. One form of actual utilization for the community's economy from cobra utilization is the cobra satay business. The high economic potential threatens the cobra population in the wild. Moreover, trade in the supply chain can have a negative impact ecologically and economically, so it is necessary to approach the supply chain of the cobra business to understand the cobra supply chain, considering the roles of participants, distribution processes, the number and specifications of cobras utilized, the source of cobras, and the incurred losses within the supply chain. This research was conducted using the snowball sampling method, with in-depth interviews. Interviews with vendor were conducted at their shops in Jakarta, and interviews with agent and collector were conducted at their homes in Karawang. It enabled the identification of the supply chain of the cobra satay business consisting of vendor in Jakarta and collectors, agents, and hunters in Karawang. The data collected were the number, specifications, and prices of each supply chain link, as well as the form of cobra utilization from traders. An estimated ±1,560 cobras are used in the cobra satay business annually, with a minimum total length of 70 cm for the cobras. The results showed that the percentage of dead cobras in the supply chain was 5%-35%, which resulted in a reduction in income of Rp25,000 - Rp125,000 for agents, Rp40,000 - Rp240,000 for collector, and Rp200,000 - Rp2,000,000 for vendor.

Research on Supply Chain Risk Prevention and Control of Medical Products Enterprises

This paper firstly analyzes the mode, development background and development status of the medical products supply chain, and finds that the medical products market shows an expanding trend, which requires the prevention and control of supply chain risks. Secondly, this paper identifies the risk factors existing in its current development, mainly supply risk, logistics risk, demand risk, information risk and cooperation risk, and analyzes the five types of risk in detail, points out the risk factors existing in each risk, and enumerates the impacts of each risk on each link of the medical products supply chain. Again, this paper combines the relevant risk factors to propose specific supply chain management countermeasures from three aspects, namely: using innovative digital supply chain models, optimizing internal supply chain processes, and improving the standardized management of medical products production. Finally, the whole paper is summarized and relevant conclusions are drawn, aiming to provide some references for giving full play to the role of medical products supply chain.

Do internal and external risk spillovers of the food system matter for national food security?

The COVID-19 pandemic and the Russia-Ukraine war raise concerns about food security, particularly in interconnected and vulnerable food systems. However, existing literature focuses mainly on food supply-chain linkages and less on systemic risk spillovers, namely system-wide risk contagion among food companies. We estimate countries' internal and external risk spillovers using the “Vector Auto-Regressive (VAR) for Value-at-Risk (VaR)” approach with an Elastic Net penalty and the stock returns of 528 food companies, and analyze their impacts on national food security using country-level panel data. Results reveal that both risk spillovers significantly threaten food security, especially for countries with low food self-sufficiency and high import concentration levels. Beyond non-financial channels like higher food consumer prices, fewer food imports, and lower food quality, these impacts also rely on financial channels (reduced credit flows to agriculture). Our study highlights enhancing food security for governments by monitoring and reducing risk contagion among food companies.

Empirical Examination of the Relationship between Supply Chain Effectiveness and a Company’s Overall Success

The relationship between the effective management of supply chains and overall organizational success is not fully explained in the literature. The differences in the effectiveness of supply chains as well as the corporate social responsibility (CSR) of supply chain companies in North America, Europe, and Asia Pacific are not broadly studied. This article attempts to bridge that gap in the literature using data from the Gartner Supply Chain Group, Brand Finance, American Consumer Satisfaction Index, and Bloomberg Finance. Pertinent statistical tools including multiple regression, ANOVA, t-tests, and chi-square tests were utilized in the study. SCM top performers were found to have higher customer satisfaction than their industry counterparts; supply chain variables used currently do not have a statistically significant impact on the overall success of those companies; North American companies have experienced significantly higher supply chain effectiveness than their counterparts in Europe and Asia Pacific; and European supply chain companies are significantly ahead of companies in America and Asia in the area of CSR. The findings can help managers in companies to benchmark with their global peers. The main contribution of this research is that it demonstrates the value of supply chain effectiveness while underscoring the need for further research to link supply chain effectiveness with organizational performance. Supply chain managers need to explore operational or internal process metrics that have a more significant impact on overall company success.

The spillover effect of export on total factor productivity of enterprises: panel data approach in Vietnam

PurposeThis study addresses the empirical results of the spillover effect with export as the primary economic activity that enhances local businesses' total factor productivity (TFP). A learning mechanism is expected to be generated and used as the basis for the policy implication.Design/methodology/approachThis study adopted the Cobb–Douglas function and multiple estimation approaches, including the generalized method of moments, the Olley–Pakes and the Levinsohn–Petrin estimation techniques. The findings were estimated based on the panel data of a Vietnamese local businesses survey conducted by the General Statistics Office of Vietnam (GSO) from 2010 to 2019.FindingsThe results showed that the highest TFP belongs to the businesses in the Southeast region, the Mekong Delta region, the mining industry and the foreign-invested enterprises. The lowest impacted TFP are businesses in the Northwest region and agricultural, forestry and fishery sectors. In addition, the estimated results also show that the positive spillover effect on TFP is shown through forward and backward linkage. The negative spillover effect is expressed through the backward and horizontal channels.Research limitations/implicationsThis study offers original empirical evidence on the learning mechanisms via which exports contribute to productivity improvement in a developing Asian economy, so making a valuable contribution to the existing academic literature in this domain. The findings of this research make a valuable contribution to the advancement of understanding on the many ways via which spillover effects manifest such as horizontal, forward, backward and supplied-backward linkage.Practical implicationsThe study's findings indicate that it is advisable for governments to give priority to the development and improvement of forward and supply chain linkages between exporters and local suppliers. This approach is recommended in order to optimize the advantages derived from export spillovers. At the organizational level, it is imperative for enterprises to strengthen their technological and managerial skills in order to efficiently incorporate knowledge spillovers that originate from overseas partners and trade counterparts.Originality/valueThis study sheds new evidence on the export spillover effect on productivity in emerging economies, with Vietnam as the case study. The paper contributes to the research's originality by adopting novel methodological aspects to estimate local businesses' impact on total factor productivity.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0373

Improving supply chain planning for perishable food: data-driven implications for waste prevention

Waste in the perishable food supply chain is a challenge that data-driven forecasting methods can tackle. However, integrating such methods in supply chain planning requires development efforts. In this regard, understanding user expectations is the first development step. This study scrutinizes the expectations of a data-driven forecasting method for perishable food. The intended development is a joint initiative of a consortium containing three perishable grocery handling firms. Besides planning expectations, the study identifies and ranks demand-sensing factors that can enable data-driven forecasting for food waste prevention. As the participating firms compete in the same region, horizontal collaboration implications are additionally explored in this context. Accordingly, the study extracts relevant performance measures parallelized to food waste. A two-round Delphi study is used to collect the expectations from a data-driven forecasting method. Individual semi-structured interviews with experts from the initiative firms are conducted in the first Delphi round. Based on the extracted propositions in each interview, industrial experts jointly readdressed and ranked the extracted propositions in the second Delphi round, i.e., focus group workshop. The results reveal that the perishability characteristic emerges as a common expectation in linking supply chain planning with data-driven forecasting. This empirical study contributes to the research on supply chain forecasting and addresses the pertinent aspects of developing data-driven approaches to prevent food waste.

RELATIONSHIP BETWEEN SUPPLY CHAIN LINKAGES AND VEGETABLE INDUSTRY DEVELOPMENT

This study investigates how supply chain linkages and the growth of the vegetable production sector are related. The study has two mediating variables: strategic orientation and competitiveness. Research data was collected from 405 vegetable production units in Hanoi. The study uses the PLS-SEM method to test the proposed hypotheses. Research results provide solutions for developing Hanoi's vegetable supply chain linkages.
 Keywords: Vegetable Industry, Supply Chain Linkages, Strategic Orientation, Competitiveness, Hanoi.