Supply Chain Management Research Articles

Optimizing the Agricultural Supply Chain Through the Internet + Model: Enhancing Efficiency with a Case Study of TikTok

This study uses the TikTok platform as a case study to explore the application of the Internet+ model in the agricultural supply chain and analyses the impact of Internet+ model on improving supply chain efficiency and reducing costs. With the development of science and technology, Internet+ has become an important trend in modern industry, which deeply integrates traditional agriculture with information technology and promotes the innovation and efficiency of supply chain management. This study not only discusses the practical application of the Internet + model in agriculture but also proposes to solve the bottlenecks in the traditional agricultural supply chain using logistics informatization, intelligent scheduling system, cold chain monitoring and intelligent warehouse management. Through case studies, the effectiveness of Internet technology in optimizing the supply chain, improving the circulation efficiency of agricultural products and reducing costs are verified, providing theoretical and case study support for promoting the development of agricultural modernization.

Mechanism Study on Innovative Influences of AI and Blockchain on Supply Chain Logistics: Case Study of JD and Alibaba

This study explores the innovative impact mechanisms of artificial intelligence (AI) and blockchain in supply chain and logistics through the case study of JD and Alibaba. The successful cases of JD and Alibaba in supply chain management show that by integrating AI and blockchain technologies, companies can automate, smarten and make supply chain logistics more efficient, thereby reducing costs, improving efficiency and enhancing overall competitiveness. Applying AI in supply chain logistics, such as demand forecasting, inventory optimization and transport route planning, can provide accurate data analysis and decision support. It can help reduce inventory costs, shorten transportation time and optimize resource allocation in the supply chain. However, AI and blockchain technologies still face several challenges, such as data privacy and security issues, technology costs and standardization. Future research and practice will continue to work on solving these challenges, further optimizing and improving the application of AI and blockchain in supply chain logistics, and promoting innovation and development in supply chain logistics.

The Impact of Blockchain Technology on E-commerce Product Development: Case Studies of Walmart and LVMH

In the current digital era, the emergence of blockchain technology has profoundly impacted business models, especially in e-commerce. Blockchain technology brings new opportunities and challenges to product sales, transactions, and management. This study examines the impact of blockchain technology on the development of e-commerce products, particularly through the cases of Walmart and Louis Vuitton (LVMH). It demonstrates the application of blockchain and its effects on product traceability, anti-counterfeiting verification, data transparency and privacy protection. It was found that blockchain technology improves data security and user trust, reduces transaction costs, and enhances supply chain management efficiency. However, blockchain also needs help regarding energy consumption, performance bottlenecks, privacy protection, inconsistent technical standards, and unclear laws and regulations. It is necessary to take appropriate measures to reduce risks and ensure the effective application of technology. This study concludes with a series of recommendations to promote the effective application of blockchain technology in e-commerce to facilitate the e-commerce industry's sustainable development.

Value Co-Creation Model for Sustainable Supply Chain: A Case Study of B2B Platforms Empowering SMEs

As the international community enters Digital Upgrade 3.0, small and medium-sized enterprises (SMEs), originally focused on offline business, are exposed to shortcomings such as insufficient capital, monolithic business models, the imbalance between supply and demand, and trust-building behaviors. To address these challenges, this study examines the role of the B2B platform model in facilitating the high-quality development of SMEs. Taking SMEs as the object of study, this study examines the role of the B2B platform model in promoting the high-quality development of enterprises. The impact of sustainable supply chain management and value co-creation theories on SMEs is analyzed by combining theoretical and practical cases. A case study of Alibaba's B2B platform 1688 reveals how the value co-creation model empowered by the platform promotes cooperation and innovation between SMEs and consumers. This study also explores the role of third-party logistics (3PL) in shaping the value co-creation model. Finally, this study provides recommendations for optimizing management models and enhancing collaboration to support the sustainable development of SMEs in the digital era.

Sustainable Supply Chain Management and Green Logistics Practice Analysis: Case Study of Wahaha and Patagonia

In globalization and digitization, supply chains have become key for companies to gain competitive advantages and achieve sustainable development. This study provides a detailed analysis of the sustainable supply chain management practices of China's leading food and beverage company, Wahaha, and the American outdoor brand, Patagonia. It explores their successes in green production, logistics, packaging, and environmental governance. The research finds that Wahaha has achieved efficient resource utilization and cost reduction through digital and intelligent transformation, enhanced recycling, and the use of clean energy. On the other hand, Patagonia maintains a strong environmental commitment by using organic cotton and recycled materials, supporting environmental projects, and promoting a green supply chain. Despite their different strategies, both companies have achieved significant sustainable supply chain management results, offering valuable insights for other businesses. Future research should include different regions and industries, explore the challenges and solutions in sustainable development, and optimize evaluation systems through quantitative analysis and model building to enhance practical application value.

Sustainable Supply Chain Development Strategies in the Fast Fashion Industry: A Case Study of Nike

With the acceleration of globalization, companies are increasingly concerned about environmental protection and social responsibility, and sustainable development has become an important trend in industrial development. The fast fashion industry has attracted much attention due to its rapid market response, mass production, and frequent style updates. However, its supply chain faces many challenges in terms of sustainability. Based on this background, this study delves into sustainable supply chain management in the fast fashion industry using Nike as a case study. By analyzing Nikes strategies, practices and achievements, this paper provides useful suggestions and insights for achieving sustainability in the fast fashion industry. Nike has positively contributed to supply chain sustainability by promoting a circular economy, establishing a green supply chain and optimizing inventory management. This study can provide an important reference for the sustainable development of the fast fashion industry and a guide for companies to innovate and improve continuously under the global sustainability agenda.

Perancangan Sistem Informasi Tracking dan Monitoring Posisi Barang Menggunakan Metode Waterfall

Information systems and information technology are essential to support a business or organization's operational and management activities. PT Vale Indonesia, one of Indonesia's largest nickel mining companies, is experiencing problems in the SCM (Supply Chain Management) Department, especially in the Shipping & Traffic Section, in tracking and monitoring the current location/position of goods. The method currently used is considered less efficient. This research aims to design an information system for tracking and monitoring the position of goods at PT Vale Indonesia. The design was carried out using the waterfall method, a system development method carried out sequentially from one phase to the next. The result of this research is the design of an information system for tracking and monitoring the position of goods, which is ready to be implemented. The test results show that all the buttons on the system function properly according to the design that has been made, making it easier to track & monitor the position of goods there.

Application of Artificial Intelligence in Supply Chain Management: A Review on Strengths and Weaknesses of Predictive Modeling Techniques

Application of Artificial Intelligence in Supply Chain Management: A Review on Strengths and Weaknesses of Predictive Modeling Techniques

The Impact of Academic Qualifications and Professional Training on Procurement Staff Performance in Tanzania: A Case Study of Morogoro Referral Hospital

This study investigates the crucial role of academic qualifications and professional training in enhancing procurement staff performance at Morogoro Referral Hospital, focusing on their impact across various procurement activities. The study utilizes a mixed research approach and a case study research design. The target population of the study comprised of individuals who are involved in procurement activities at Morogoro Referral Hospital. The sample size was 67 respondents selected through convenience and purposive sampling techniques. Data were collected by using questionnaire and interviews. Quantitative data were analyzed using descriptive statistics, while qualitative data is examined through thematic analysis. The study highlights the essential role of academic qualifications and professional training in boosting procurement staff performance, noting broad agreement on their benefits for foundational knowledge and critical skills such as supply chain management and negotiation. Despite varying levels of agreement on areas like supplier evaluation and risk mitigation, the overall positive impact is clear. It is recommended that organizations invest in targeted training programs to address performance gaps, particularly in risk mitigation and supplier evaluation, and ensure ongoing updates to keep staff current with regulations, technology, and best practices. This approach will enhance procurement efficiency and effectiveness, supporting organizational success.

The sustainable development of small and midsize enterprises in China on green reverse logistics

In response to the increasing global emphasis on sustainability and the specific challenges faced by small and medium-sized enterprises (SMEs) in China, this study explores the integration of green reverse logistics within these enterprises to enhance their sustainability and competitiveness. The aim of this study is to understand the relationship between reverse logistics, green logistics, and sustainable development. Data analysis was conducted utilizing a combination of descriptive statistics and correlation analysis. A survey of 311 participants examined SMEs’ performance in reverse logistics practices and their initiatives in green logistics and sustainable development. The empirical findings reveal significant progress in reverse logistics practices among SMEs, reducing environmental impact and improving resource efficiency. Moreover, a notable positive correlation was identified between reverse logistics promotion and advancements in green logistics and sustainable development. SMEs’ investment in reverse logistics is closely linked to their efforts in environmentally conscious and sustainable supply chain management. These insights benefit SMEs and supply chain practitioners and offer a valuable reference for future research and practical applications in this field.

Menuju Pariwisata Berkelanjutan: Eksplorasi Niat Berkelanjutan Dalam Praktik Rantai Pasokan Industri Pariwisata

The growth of the tourism industry in Indonesia has made a significant contribution to the economy. However, the increase in tourism activities has also had negative environmental and social impacts. This research examines sustainable tourism practices, focusing on factors influencing stakeholders' intentions to adopt Sustainable Supply Chain Management (SSCM) in the tourism sector. Using the Theory of Planned Behavior (TPB), the study evaluates the impact of knowledge, attitudes, subjective norms, and perceived behavioral control on behavioral intentions. Data were collected through a questionnaire in Pesawaran Regency, Lampung, and analyzed using SEM through SmartPLS 4. The results show that perceived behavioral control has the greatest influence on behavioral intentions, followed by subjective norms and attitudes. Knowledge significantly affects attitudes toward SSCM. This study also explores the moderating effect of tourism stakeholder categories. The findings highlight the importance of interventions and education in promoting SSCM adoption, contributing to the sustainable tourism literature with a focus on behavioral aspects and offering practical insights for policymakers and industry players

A Decision Support Model for Lean Supply Chain Management in City Multifloor Manufacturing Clusters

City manufacturing has once again become one of the priority areas for the sustainable development of smart cities thanks to the use of a wide range of green technologies and, first of all, additive technologies. Shortening the supply chain between producers and consumers has significant effects on economic, social, and environmental dimensions. Zoning of city multifloor manufacturing (CMFM) in areas with a compact population in large cities in the form of clusters with their own city logistics nodes (CLNs) creates favorable conditions for promptly meeting the needs of citizens for goods of everyday demand and for passenger and freight transportation. City multifloor manufacturing clusters (CMFMCs) have been already studied quite a lot for their possible uses; nevertheless, an identified research gap is related to supply chain design efficiency concerning urban CMFMCs. Thus, the main objective of this study was to explore the possibilities of lean supply chain management (LSCM) as the integrated application of lean manufacturing (LM) approaches and I4.0 technologies for customer-centric value stream management based on eliminating all types of waste, reducing the use of natural and energy resources, and continuous improvement of processes related to logistics activities. This paper presents a decision support model for LSCM in CMFMCs, which is a mathematical deterministic model. This model justifies the minimization of the number of road transport transfers within the urban area and the amount of stock that is stored in CMFMC buildings and in CLNs, and also regulating supplier lead time. The model was verified and validated using appropriately selected test data based on the case study, which was designed as a typical CMFM manufacturing system with various parameters of CMFMCs and urban freight transport frameworks. The feasibility of using the proposed model for value stream mapping (VSM) and managing logistics processes and inventories in clusters is discussed. The findings can help decisionmakers and researchers improve the planning and management of logistics processes and inventory in clusters, even in the face of unexpected disruptions.

Visualizing Walmart's Supply Chain Management: A Case Study on Detailed Warehouse Management Practices

Supply chain management (SCM) plays a critical role in the success of modern businesses. Visualization techniques have become increasingly important in improving these processes. These methods have become increasingly significant in recent years, offering new ways to understand and optimize complex supply chain processes. This study focuses on how Walmart uses visualization in its supply chain management to boost efficiency and decision-making. This paper examines the integration of technologies like real-time tracking and data analysis into Walmart's practices, discussing both the advantages and challenges they bring. Walmart has embraced visualization technologies to streamline its SCM processes and make more informed decisions. Furthermore, the paper explores how visualization can help with inventory management, demand forecasting, and logistics optimization in Walmart's supply chain. Combined with relevant literature and case studies, it sheds light on how visualization enhances supply chain operations, offering insights for academics and industry professionals alike, that give good suggestions to the market.

Advanced Supply Chain Management Using Adaptive Serial Cascaded Autoencoder with LSTM and Multi-Layered Perceptron Framework

Supply chain management is essential for businesses to handle uncertainties, maintain efficiency, and stay competitive. Financial risks can arise from various internal and external sources, impacting different supply chain stages. Companies that effectively manage these risks gain a deeper understanding of their procurement activities and implement strategies to mitigate financial threats. This paper explores financial risk assessment in supply chain management using advanced deep learning techniques on big data. The Adaptive Serial Cascaded Autoencoder (ASCA), combined with Long Short-Term Memory (LSTM) and Multi-Layered Perceptron (MLP), is used to evaluate financial risks. A data transformation process is used to clean and prepare financial data for analysis. Additionally, Sandpiper Galactic Swarm Optimization (SGSO) is employed to optimize the deep learning model’s performance. The SGSO-ASCALSMLP-based financial risk prediction model demonstrated superior accuracy compared to traditional methods. It outperformed GRU (gated recurrent unit)-ASCALSMLP by 3.03%, MLP-ASCALSMLP by 7.22%, AE-LSTM-ASCALSMLP by 10.7%, and AE-LSTM-MLP-ASCALSMLP by 10.9% based on F1-score performance. The SGSO-ASCALSMLP model is highly efficient in predicting financial risks, outperforming conventional prediction techniques and heuristic algorithms, making it a promising approach for enhancing financial risk management in supply chain networks.

Managing resources for digital transformation in supply chain integration: The role of hybrid governance structures

Digital transformation (DT) plays a crucial role in shaping operations and supply chain management. Through real-time data sharing and automated decision-making systems, DT fosters supply chain integration (SCI), facilitated by key digital technologies like Internet of Things (IoT), cloud computing, big data, and artificial intelligence. Effective DT necessitates managing organizational digital resources encompassing technical domains such as software, hardware, and data science, alongside financial resources and managerial capabilities. Navigating the complexities of DT requires strategic decisions in supply chain governance regarding the management of these digital resources. While in-house development offers control and differentiation, it entails organizational and financial risks. Conversely, outsourcing digital activities reduces risks but increases technological dependence. Hybrid governance (concurrently sourcing in-house and outsourcing activities) presents a reconciliatory approach that can be valuable for DT in SCI. This study investigates the contribution of hybrid governance for DT, focusing on its effects on SCI and delivery performance. Through quantitative analysis of 379 manufacturing companies, our findings reveal that hybrid governance positively influences the digitalization of SCI and contributes to delivery performance through a digitalized SCI. Our research contributes to the theoretical understanding of hybrid governance in DT, offering insights into strategic digital resource management for SCI. It underscores the importance of balancing internal and external resources to optimize supply chain performance in the digital era.

TCL Technology's Merger and Acquisition of Central Electronics: Analysis of Corporate M&A and Restructuring Strategies

Benefiting from national policy support and market economy, China's semiconductor industry has made significant progress in technological innovation, especially in the context of 5G, smart Internet and big data era, the center of gravity of the industry is shifting from South Korea and Taiwan to mainland China.Through the acquisition of Azeus, which is equipped with profound semiconductor packaging and testing technology, TCL Technology aims to enhance its competitiveness in the semiconductor field, optimize supply chain management and improve product quality control capability. supply chain management and improve product quality control. This paper examines TCL's acquisition of Azeus and discusses six aspects of the acquisition: overview of the two parties, industry background, progress of the acquisition, performance evaluation (including financial and non-financial), risk analysis, and characteristics of the acquisition. The results show that the acquisition has had a positive impact on TCL's development in semiconductors and related fields.

Editorial: fashion supply chain management during and after the COVID-19 global pandemic

Editorial: fashion supply chain management during and after the COVID-19 global pandemic

Technology Enabled Ready-Made Garments Supply Chain Management: a Literature Review

Technology Enabled Ready-Made Garments Supply Chain Management: a Literature Review

What is the impact of demand patterns on integrated online-offline and buy-online-pickup in-store (BOPS) retail in a smart supply chain management?

Retailers aim to provide in-person and remote interactions to accelerate purchases through hybrid methods, which introduce additional delivery and emissions loads but create a seamless shopping experience. The challenges of unified inventory, customer information, pricing, demand forecasting complications, and order fulfillment are met successfully in the hybrid methods. Here, a smart supply chain management that integrates traditional physical presence with cloud-based and hybrid buy-online-pickup in-store channels is optimized to meet customer demand in different demand patterns. The demand patterns considered are linear, cubic, and normalized functions of the selling price, the advertising cost, and the product lifetime. The article incorporates sustainable supply chain and omnichannel strategies to optimize supply chain performance and profitability. The paper compares the results of the proposed models with traditional supply chain models and provides some managerial insights and suggestions for online retailers. Numerical simulation reveals that nonlinear price dependence in demand provides an opportunity for higher promotional investment with a substantial rise in optimal selling price and overall profit. The shift-to-imperfect probability is seen to be the volatile component in the solution surface. The markup of the offline channel has a greater impact than buy-online-pickup in-store markup.

Challenges and Solutions in Working with Green Suppliers: Perspective from a Manufacturing Industry

This study explores the challenges and solutions faced by manufacturing companies in one industry when integrating green suppliers into their supply chains. The FGD transcripts were analyzed using NVivo 12 Pro for coding and thematic analysis, which helped identify key challenges and solutions. The key challenges identified included higher procurement costs, limited availability of green materials, quality assurance issues, and difficulties in verifying green practices. Strategic solutions involve establishing partnership strategies, conducting supply chain audits, and developing clear evaluation criteria. The content analysis shows that higher procurement costs can be mitigated through strategic partnerships offering better terms and pricing stability. Diversifying the supplier base and investing in supplier development programs address the limited availability of green materials. Quality assurance is maintained through stringent controls and regular audits, while verification challenges are managed with third-party certifications and robust audits to prevent greenwashing. The SWOT analysis highlights strengths such as strategic partnerships and regular audits, opportunities like developing evaluation criteria and technological advancements, and acknowledges weaknesses and threats. This comprehensive analysis provides a nuanced understanding of the practical challenges and solutions in green supply chain management, offering a strategic framework for manufacturing companies to enhance sustainability and achieve competitive advantage.