Enterprise Supply Chain Research Articles

Retracted: E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data

Retracted: E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data

Research on Supply Chain Optimisation Management Method Integrating Employee Behaviour Factors by Improving PSO Algorithm

With the continuous advancement of the trend of economic globalisation and the in-depth development of personalised services, the manufacturing mode has begun to change to service-oriented manufacturing, and the focus of enterprises has gradually shifted from the industrial chain to the supply chain. However, at present, accidents often occur in the supply chain around products, such as changes in orders, lack of resources in a short period of time, etc. These interference events are difficult to control and cause great damage to the normal operation and economic interests of enterprises for a long time. Therefore, it is necessary to study the optimisation methods of enterprise supply chain. Therefore, it is necessary to study the optimisation methods of enterprise supply chain. The study uses system dynamics to analyses employee counterproductive behaviour, develops a disturbance management model incorporating employee behavioural factors, and solves it with an improved particle swarm optimisation (PSO) algorithm. The experimental results show that the maximum number of noninferior solutions obtained by the improved PSO algorithm is 14 and 12, respectively. Compared with the GA_TOM (Genetic Algorithm_TOM), the improved algorithm is closer to the ideal pareto front. In the MS index, the average and minimum values obtained by the improved PSO algorithm are 0.57 and 0.609, respectively, which can cover more ideal pareto fronts. It shows that the algorithm effectively improves the stability and security of the supply chain, and provides a practical reference for the supply chain optimisation of manufacturing enterprises.

Research on the Innovation Strategy of Regional Logistics Supply Chain System Under the Background of Digital Economy

Based on the continuous application and development of digital information technology, the digital economy has gradually become an important growth pole of China's economic development. Digital development has also provided new opportunities for the transformation and upgrading of logistics and supply chains, and the coordinated development of the digital economy and regional logistics supply chains has achieved remarkable results. However, in the process of promoting the development of the logistics supply chain, the digital economy has problems such as the imbalance in the digitization of the logistics supply chain system, the lag in the global response speed, and the lack of trust mechanism, so it is necessary to optimize the logistics supply chain management process, strengthen the information interaction and integration between the upstream and downstream node enterprises of the logistics supply chain, and connect up and down, strengthen the elasticity and resilience of the logistics supply chain, and establish and improve the trust mechanism of the logistics supply chain system, so as to accelerate the development of the digital economy and the logistics supply chain.

Research on safety risk control of prepared foods from the perspective of supply chain

Prepared foods bring great convenience to people’s lives, but they also entail safety risks in all aspects, from production to sales. The cooperation of the supply chain and the supervision of the government are key to promoting the safety management of prepared foods. This paper considers the government’s regulation, focuses on the interaction relationship between the producer and the retailer of prepared foods, and builds an evolutionary game model to analyze the influence of collaborative decision-making between prepared food producers and retailers in preventing and controlling food safety risks under the government’s regulatory strategy. The research finds that: (1) Under certain conditions, there are three stable equilibrium strategies within the prepared foods supply chain: bilateral low-safety inputs, unilateral high-safety inputs, and bilateral high-safety inputs. (2) Government regulators can influence the safety input behaviors of prepared food supply chain enterprises by adjusting investigation probabilities and punishment severity. (3) The safety input behaviors of these enterprises are influenced by various factors, including costs, revenues, brand image, reputation, and the consequences associated with contractual violations. This paper represents the first systematic analysis of prepared food safety from a supply chain perspective. It fills a gap in the existing literature in this area, offering guidance and suggestions for prepared food supply chain enterprises, as well as references and recommendations for government regulators.

Hybrid cascade failures in supply chain networks: Robustness, node protection and recovery strategies

This study investigates the influence of mixed cascade failures on the resilience of manufacturing enterprise supply chain networks, which are susceptible to disruptions from upstream and downstream enterprises due to external uncertainties. We propose a single-layer directed network model to examine mixed cascade failures and analyze the effectiveness of protection and recovery strategies for improving network resilience through extensive simulation experiments. The numerical analysis yields the following key findings: (i) Under targeted attacks, the Erdős–Rényi (ER) network exhibits marginally enhanced robustness, whereas the Barabási–Albert (BA) network proves to be more resilient against random attacks. (ii) Effectively mitigating failure risk and reducing the likelihood of failure can be accomplished by increasing the upper load capacity limit and decreasing the lower load capacity limit for manufacturing firms. Furthermore, a comprehensive approach to protection and recovery measures strengthens the stability of supply chain networks in the face of external risks. (iii) Constraints, such as epidemic control measures and infrastructure damage, may impede the recovery process of manufacturing firms’ supply chains when addressing external uncertainties.

Application of blockchain technologies in the supply chain in food enterprises

The food supply chain encompasses all the stages that food products pass through during their movement from the producer to customers and consumers. It is influenced by several specific factors that must be taken into account. Such are, for example, requirements related to the specifics of the products, legislation, food safety, etc. Information technologies are successfully applied in the food supply chain. Blockchain is a new concept that has attracted increasing attention in recent years. Blockchain is a decentralized and distributed record of transactions that are stored in blocks and linked sequentially in a chain. It represents an innovative way of managing and exchanging data and information. Blockchain technology can improve the supply chain in the food industry in a variety of ways, providing greater transparency, security, and efficiency. Therefore, this paper aims to present in detail Blockchain technology and how it would help the supply chain in food enterprises.

Risk Analysis of E-Commerce Supply Chain in Enterprises: A Case Study of JD.com’s No. 1 Boutique Supermarket

This study examines the development process and current status of Yihaodian, a gourmet supermarket under JD.com, to identify potential problems and risks in its operation. The risks are categorized as market, credit, workforce, and capacity risks. To address these risks, specific solutions are proposed, including effective market positioning, innovative business strategies, enhancement of the credit evaluation system and indicators, utilization of internet technology, and improved inventory management. Moreover, the study emphasizes the importance of strengthening internal personnel management in Yihaodian. By providing insights into the risks and solutions faced by Yihaodian, this research offers valuable guidance to other enterprises in enhancing their operation and management processes in the dynamic e-commerce supply chain. The findings are significant for businesses seeking to navigate challenges in the competitive market and achieve sustainable growth. This study contributes to understanding risk management in the context of e-commerce supply chains, benefiting both academia and practitioners in the field.

Evolutionary game of digital decision-making in supply chains based on system dynamics

This paper primarily focuses on whether supply chains enterprises adopt a digital strategy and the impact of various government measures on supply chain digital decision-making. The study develops a multi-agent decision-making evolutionary game model to examine the stability of decision-making among the government, suppliers, and manufacturers. Additionally, a system dynamics model is established to analyze the governing dynamics within the supply chain’s digital decision-making process, identifying characteristic patterns and trends. The analytical results of this study illustrate the government’s strength thresholds exist regardless of ex-part penalties or the mix of rewards and punishment. Once the government’s strength exceeds these thresholds, the evolutionary game system undergoes abrupt changes. Suppliers and manufacturers who adopt digital strategies are more affected by government penalties than incentives. The stronger the mix of government incentives and penalties, the higher the incentives for the supplier and the manufacturer to adopt a digital strategy, but the lower the incentives for the government to choose a regulatory strategy. Low-intensity mixed rewards and punishments, as well as low-intensity government rewards, are effective mechanisms for promoting government decision-making and supervision. Conversely, high government penalties do not motivate governments to choose regulatory strategies. The unit cost of products to deploy digital strategies directly affects the final digital strategy choice of supply chain enterprises. To choose a digital strategy, supply chain companies must ensure that the unit cost of products remains within a reasonable range.

ДЕЯТЕЛЬНОСТЬ ЛОГИСТИЧЕСКОГО ПРОВАЙДЕРА ПО ОПТИМИЗАЦИИ МАТЕРИАЛЬНЫХ ПОТОКОВ ПРЕДПРИЯТИЯ

The article is devoted to the problems of the logistics provider’s activity as a participant in the enterprise supply chain, which optimizes the aggregate of material flows of the enterprise due to the effective management of the client’s logistics activity. The development of industry 4.0 technologies inspires the introduction of information and communication technologies in the activities of logistics service providers. Digitalization of logistics activities is especially relevant for logistics providers, which, in modern conditions, should form a logistics ecosystem that includes a set of participants from various supply chains. A logistics provider actively uses information and communication technologies in the process of managing the material flows of an enterprise. In particular, these are blockchain technologies, artificial intelligence, the Internet of Things, and cloud technology solutions.

Exploring competitive advantages in enterprise supply chains: A case study of JD’s predictive and logistics links

In today’s fiercely competitive business landscape, enterprises strive to enhance their competitive advantage. One crucial aspect of achieving this is by optimizing their supply chain practices. This paper presents a comprehensive analysis of Jing Dong (JD), a prominent e-commerce company, as a case study to delve into its supply chain technologies. By examining the specific technologies implemented by JD and elucidating their positive impact on the company’s performance, this study establishes a robust theoretical foundation for further research. It offers a practical model for companies seeking to improve their supply chain practices. By adopting and adapting similar technologies and strategies, enterprises can unlock new opportunities, streamline operations, and ultimately gain a sustainable competitive edge in their respective industries. Through a deeper understanding of JD’s successful supply chain approaches, companies can strategically enhance their capabilities and thrive in the dynamic market environment.

Models and Methods of Applied Mathematics in Supply Chain Management and Optimization

Abstract Amidst the swift expansion of the global trade economy, enterprises are confronted with escalating competition within their industries. Enhancing market competitiveness to boost economic efficiency emerges as a pivotal strategy for ensuring corporate viability. This study employs applied mathematics to refine the optimization of supply chain management, thereby offering a novel approach to augmenting management efficacy in enterprise supply chains. Initially, the research adopts mathematical models tuned to the traditional structure of enterprise supply chains, addressing prevalent profiling issues. Subsequently, it introduces a two-tier planning model to facilitate multi-objective decision-making in supply chain management. This model is rigorously applied to resolve various decision-making scenarios. An empirical analysis is conducted using Company M as a case study. Post-optimization, Company M's inventory exhibited only one instance of material shortfall, involving 132 items. The capital tied up in inventory was significantly reduced to 214,092 yuan—a decrease of 36,319 yuan compared to the capital occupied under traditional supply chain management methods. Furthermore, the optimized supply chain management system demonstrated a notable increase in the average inventory turnover rate to 12.3507%, marking an improvement of 3.6923% over the traditional model. The findings underscore the efficacy of the proposed optimization in enhancing the economic efficiency of enterprise supply chain management. This optimization not only streamlines operations but also provides robust support for the ongoing development of enterprise supply chains.

Financing a Low-Carbon Supply Chain Through Online Peer-to-Peer Lending

Small- and medium-sized enterprises (SMEs) in low-carbon supply chains often face financing obstacles for improving carbon emission reduction (CER) level. Armed with unique advantages beyond offline financing methods, online peer-to-peer (P2P) lending can offer financing service for SMEs to alleviate capital constraints. This article investigates the equilibrium strategies under online P2P lending and effects of such a financing scheme in funding low-carbon supply chains through multi-level Stackelberg game models under two possible scenarios: the manufacturer independently bears CER investment cost and the retailer shares the cost with the manufacturer. In the models, a P2P platform first sets a service rate and charges a commission. Under a carbon cap-and-trade policy, a manufacturer borrows capital through the P2P platform and decides CER level. As the follower, a retailer determines a retail price. We find that the P2P platform's financial decision is a double-edged sword in influencing its own profit through commission and loan size. The cost sharing is alarmingly not always helpful for the supply chain finance system and improvement of CER level. Online P2P lending plays a complementary role to bank credits by bringing more social welfare and greater promotion degree of CER level.

Coordinating principal-agent and incentive strategy of cold chain logistics service in fresh food supply chain.

With the increasing production and circulation of fresh food, society's requirements for product quality have also increased. Currently, upstream and downstream enterprises in the fresh food supply chain tend to delegate the cold chain transportation of fresh food to third-party cold chain logistics (CCL) service providers who offer more professional integrated preservation services. This study adopts coordination theory to research the delegation, coordination, and incentive strategies between a Fresh Food Producer, Distributor, and CCL Service Provider. The aim is to promote the efforts of the CCL Service Provider in improving freshness and achieving the overall optimal interests of the fresh food supply chain. First, the basic models of the Fresh Food Producer and Distributor individually entrusting the CCL Service Provider are established under different information conditions. Second, a collaborative delegation agency model between the Fresh Food Producer and Distributor is established on top of the basic models. Finally, through the optimal decision solutions under different information conditions and numerical calculations of preservation benefit levels, the following conclusions are drawn: (1) The more transparent and open the information environment, the more it can encourage the CCL Service Provider to improve the quality of their preservation services, allowing the Fresh Food Producer and Distributor to obtain more significant preservation benefits. However, when information is completely transparent, the incentive mechanisms formulated by the Fresh Food Producer and Distributor become ineffective. (2) Collaborative cooperation strategies can encourage the CCL Service Provider to enhance their preservation efforts while strengthening the effectiveness of relevant incentive strategies for the Fresh Food Producer and Distributor.

Factors affecting the cooperative relationships in material supply chain of construction enterprises

Abstract The materials supply chain in the construction industry involves many independent actors, creating complex, dependent relationships, including competitive and cooperative relationships. To develop together, chain members need to build a long-term cooperative relationship for mutual benefits, promote the development of chain members and improve the operational efficiency of the construction supply chain. Therefore, studies to measure and improve this relationship are urgently needed. Within the scope of the present article, the authors carry out work with the aim of assessing the current status of the relationship between construction contractors and partners in their material supply chain and ranking the factors affecting the relationship. From the synthesis of research documents, the report outlines eight factors affecting the construction supply chain cooperation, namely: trust, information sharing, choosing the right partner, profit and risk sharing, senior management support, problem solving, transaction frequency and culture of cooperation. A survey was carried out with subjects who are senior leaders of construction enterprises, project directors/deputy directors, site commanders/deputy commanders, employees of different departments. contractors and field engineers. Data from 132 valid questionnaires were used for the study. Based on the survey results, the authors assessed the current relationship with the members in the supply chain and the impact of these factors on the cooperation between construction enterprises and their supply chain partners. The research results of the present article can help construction enterprises identify important influencing factors and take appropriate measures so as to strengthen the cooperative relationships with the stakeholders. This would help improve the operational efficiency of the supply chain.

A Comparative analysis of service supply chain performance using analytic hierarchy process methodology

The study aims to provide a comprehensive analysis of the service supply chain (SSC) of small and medium scale enterprises (SMEs) and to offer insights to improve its supply chain performance. The study employs mixed methods, to analyse the data collected from SMEs. The findings highlight several key metrics of effective supply chain management in a service firm such as utilisation and flexibility of service capacity, inventory, order lead times, relationships between the organisation, its suppliers and customers, the importance of effective demand forecasting and inventory management as valuable attributes to improve the supply chain performance of service firms. Inventory lead time is presented as a fundamental metric useful in determining the service supply chain performance of SMEs.

Analysis of supply chain finance development model for SF Holdings: Comprehensive study for SMEs’ financial accessibility

The supply of funds is a very important part of their development. Due to the problems of small and medium-sized enterprises with insufficient credit in banks and fewer mortgageable assets, it is challenging to obtain funds from banks for development and operation. Supply chain finance can help it solve these problems. Supply chain finance focuses on core enterprises, manages the capital flow, logistics and information flow of upstream and downstream small and medium-sized enterprises, and transforms the uncontrollable risks of a single enterprise into the controllable risks of the supply chain enterprise. The risk is controlled in the lowest financial service through three-dimensional access to various information. As the leader of China’s logistics enterprises, SF Holdings has a mature supply chain management system and big data analytics capabilities and has more enterprise information, which can provide related financial services for small and medium-sized enterprises. This paper will study the supply chain finance model of SF Express Holdings, analyze its development and existing problems, put forward corresponding suggestions, and make predictions for its future development and the development of supply chain finance.

Innovative Strategies and Practical Effects of Supply Chain Management of Business Enterprises under the Framework of Smart City

Abstract The change in modern information technology has brought new development opportunities to all walks of life, and the supply chain management mode of industrial and commercial enterprises has gradually shifted from management based on historical experience to management relying on information data. This paper combines the problems of inventory cost optimization and vehicle route scheduling optimization in the supply chain management of industrial and commercial enterprises and develops the supply chain innovation management system of industrial and commercial enterprises under the framework of a smart city. The proposed DES_RSA hybrid encryption method is proposed to ensure the timeliness and security of the information transmission process of the smart supply chain management system. During the interface test of the purchase order paging request, the system test revealed that the supply chain management system had a 0.00% error rate. The results of the application practice of Company H show that after the application of the supply chain innovation management system, the growth rate of Company H’s operating costs continued to decline, the expense margin rose by 8.50% in two years, and the trend of customer satisfaction also shows a significant increase. The application value of the business enterprise supply chain management system designed in this paper is high, which can achieve efficient management of the business enterprise supply chain.

Path Dependence and Strategic Responses to Supplier Concentration in the Internet Era

Abstract This study explores enterprises’ supplier concentration path dependence in the Internet era and its impact on enterprise performance, and analyzes enterprise coping strategies to optimize supply chain management and enhance enterprise competitiveness. The research method adopts principal component analysis and Tobit model, and selects the data of 100 listed enterprises in the manufacturing industry from 2015 to 2020. The results show that supplier concentration positively correlates with enterprise performance, in which the mean value of supplier concentration is 0.58 and the correlation coefficient with enterprise performance is 0.35. In addition, control variables such as enterprise size and investment opportunities also significantly impact enterprise performance. The conclusion states that the path dependence of supplier concentration positively affects enterprise performance, and enterprises should respond to it by optimizing supply chain management and establishing an internal control system. This provides a new perspective for enterprise supply chain management in the Internet era.

Artificial Intelligence and Its Impact to the Operations of Enterprises: Basis for Strategic Plan

Artificial intelligence has had a profound impact on the production and operation management of enterprises, including human resource management, financial management, production management, and decision-making assistance. Artificial intelligence can improve production and management efficiency, and reduce costs. It can improve the quality and specialization level of financial information processing, achieve intelligent financial management, and improve the efficiency and accuracy of financial management. The development of artificial intelligence may have an impact and crowding out effect on jobs with primary repetitive standardized processes, leading to a reduction and adjustment of some positions, while also providing new employment opportunities. The application of artificial intelligence in production and operation management can strengthen enterprise supply chain management, improve quality inspection efficiency, reduce operating costs, improve production efficiency, enhance the scientificity of enterprise management, thereby improving management efficiency and economic benefits, and promoting enterprise development and competitiveness. At the same time, it is necessary to pay attention to data security management and privacy protection, reduce the cost of using and maintaining artificial intelligence, continuously improve and perfect artificial intelligence tools, effectively enhance the use of artificial intelligence in accordance with regulations, and pay attention to the risk of personnel unemployment caused by the application of artificial intelligence. Therefore, it is suggested that senior leaders of enterprises should attach great importance to the application of artificial intelligence, increase funding, provide budget support and resource investment, strengthen data quality management and customized analysis capabilities, reduce usage and maintenance costs, promote human-machine cooperation, strengthen the application of artificial intelligence in business management, attach importance to employee training and transformation support, and pay attention to technological development trends, optimize and expand application scenarios, Actively explore and apply artificial intelligence tools to enhance the competitiveness of enterprises. The government should formulate relevant policies and regulations, strengthen education and training support, promote the development of the artificial intelligence industry, strengthen international cooperation and exchanges, formulate policies to promote employment and social security systems, encourage innovation and entrepreneurship, strengthen supervision and regulation, and promote the comprehensive application of artificial intelligence in enterprise management.

Enterprise Architecture Development to Strengthen Sustainability in the Supply Chain

In contemporary international business, the significance of sustainability in supply chain operations has emerged as a prominent area of interest. The present study investigates the significant impact that Enterprise Architecture has on enhancing the sustainability of enterprise supply chains. By integrating Enterprise Architecture concepts in their entirety, this study presents a framework that empowers organizations to formulate sustainable sustainability strategies. Enterprise Architecture is utilized to identify, manage, and integrate supply chain critical elements that impact sustainability, such as waste management, energy efficiency, resource utilization, and the selection of sustainable business partners. This research demonstrates how progressive Enterprise Architecture implementation can contribute to the sustainability of supply chains, assist organizations in addressing environmental and social challenges, and generate long-term value for businesses and their business ecosystems by delineating an all-encompassing architecture. This study examines in depth how the application of Enterprise Architecture can catalyze achieving supply chain sustainability and provides companies with guidance on how to design and implement sustainable, structured sustainability strategies.