Agricultural Products Supply Chain Research Articles

Agricultural Supply Chain Risk Management in the Post-epidemic Era

The COVID-19 has spread in more than 200 countries and regions around the world. China, as the first country to fight the epidemic, took measures such as social isolation, regional blockade, and traffic control, which had a positive effect on preventing the spread of the epidemic, but the agricultural supply chain in the control area received a great impact; in terms of international epidemic prevention, all countries are strengthening their border blockade, safeguarding their own food demand, and strict import and export quarantine measures [1 ], which has a huge impact on the global flow of agricultural products, and the lack of imported agricultural products to supplement the supply security of China’s agricultural products is under certain threat. In this paper, by sorting out the paths of the epidemic affecting the supply chain of agricultural products and the characteristics of China’s agricultural supply chain, we deeply analyze the sources of risks in China’s agricultural supply chain under the epidemic, and put forward suggestions such as strengthening the collaborative management of the agricultural supply chain, building a response mechanism and prevention mechanism for the quality and safety of agricultural products, constructing a logistics network suitable for the storage and transportation requirements of agricultural products, and accelerating the construction of a big data platform for the agricultural supply chain.

Quality safety of agricultural products in supply chain-computer simulation based on multi-agent system

As is known that, one of the challenges in ensuring the quality and safety of agricultural products in China is how to organize plenty of scattered small farmers and integrate them into the modern agricultural products supply chain system. In this paper, in order to promote the tight integration of agricultural products supply chain, based on multi-agent system, a computer simulation model of agricultural products supply chain is proposed. Through a series of simulation experiments, the evolution of the organizational structure of the agricultural products supply chain, its impact on the quality and safety of agricultural products under different government regulations are explored and discussed in detail. It follows from these simulation results that the more long-term-contract farmers and sellers, the more conducive to the improvement of the quality and safety of agricultural products, and the corresponding countermeasures and suggestions are also provided.

Research on Supply Chain Resilience of Agricultural Products Based on AHP-FCE Model

Asthe proportion ofrisksin the supply chain of agricultural productsincreases gradually, it is of far-reaching significance to improve the supply chain resilience to resist the risk interference. Based on the research on the factors affecting the resilience of agricultural products supply chain, the AHP-FCE method was used to evaluate the resilience of agricultural products supply chain. Through qualitative analysis and quantitative calculation, the fuzzy comprehensive evaluation of agricultural product supply chain resilience is carried out. The results show that the reliability of suppliers, the number of transport vehicles and the risk control ability of employees are the main factors restricting the resilience of agricultural supply chain. Finally, it provides theoretical basis for relevant enterprises and institutions to improve the resilience of their agricultural supply chain through case analysis and verification.

Sustainable Supplier Evaluation and Selection of Fresh Agricultural Products Based on IFAHP-TODIM Model

In recent years, increasing pollution of the ecological environment, excessive use of pesticides, and lack of effective management of agricultural product supply chains have made the problem of having a green and safe supply of fresh food increasingly prominent. The sustainability of the fresh agricultural products supply has become an inevitable focus in the development of agricultural enterprises. There are some problems in the supply chain of fresh agricultural products, such as scattered production sites and difficult logistics transportation, which makes it difficult for enterprises to choose reliable suppliers. Supplier selection is a key component of sustainable supply chain management, and the criteria for evaluating the quality of sustainable suppliers are often affected by economic, social, and environmental factors. Therefore, from the perspective of sustainability, based on triple bottom line theory and comprehensively considering the three aspects of society, environment, and economy, this paper proposes a novel evaluation index system for the selection of sustainable suppliers of fresh agricultural products. This paper innovatively integrates the intuition fuzzy analytic hierarchy process and TODIM (an acronym in Portuguese of interactive and multiple attribute decision-making), and these are applied to select sustainable suppliers. Finally, the integration method is applied to the example, and a sensitivity analysis is carried out to verify the validity of the evaluation model.

Construction of Optimal Pricing Model in Agricultural Product Supply Chain

Construction of Optimal Pricing Model in Agricultural Product Supply Chain

An Agricultural Products Supply Chain Management to Optimize Resources and Carbon Emission Considering Variable Production Rate: Case of Nonperishable Corps

The management of the man–machine interaction is essential to achieve a competitive advantage among production firms and is more highlighted in the processing of agricultural products. The agricultural industry is underdeveloped and requires a transformation in technology. Advances in processing agricultural products (agri-product) are essential to achieve a smart production rate with good quality and to control waste. This research deals with modelling of a controllable production rate by a combination of the workforce and machines to minimize the total cost of production. The optimization of the carbon emission variable and management of the imperfection in processing makes the model eco-efficient. The perishability factor in the model is ignored due to the selection of a single sugar processing firm in the supply chain with a single vendor for the pragmatic application of the proposed research. A non-linear production model is developed to provide an economic benefit to the firms in terms of the minimum total cost with variable cycle time, workforce, machines, and plant production rate. A numerical experiment is performed by utilizing the data set of the agri-processing firm. A derivative free approach, i.e., algebraic approach, is utilized to find the best solution. The sensitivity analysis is performed to support the managers for the development of agricultural product supply chain management (Agri-SCM).

Marine Agriculture Development and Management from the Perspective of Supply Chain and Transaction Costs

Sun, L.; Su, B., and Wang, Q., 2020. Marine agriculture development and management from the perspective of supply chain and transaction costs. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 237-239. Coconut Creek (Florida), ISSN 0749-0208.Agricultural cooperatives have played an important role in the process of agricultural modernization. The study analyzed the development characteristics of national agricultural cooperatives from the perspective of supply chain integration, focused on summarizing the operation mode and development experience of these national agricultural cooperatives in the agricultural product supply chain, and innovated production and operation methods for agricultural cooperatives in the supply chain environment. Provided development suggestions on improving profitability and safeguarding self-interest. The results show that my country's marine agriculture is generally in a steady development stage, but due to the rapid development of the marine secondary and tertiary industries, the proportion of marine agriculture is decreasing. On the whole, the regional gap in the development of my country's marine agriculture is constantly narrowing, showing a good development trend.

Fresh Agricultural Products Supply Chain Coordination and Volume Loss Reduction Based on Strategic Consumer.

The reduction of fresh agricultural product volume loss throughout the supply chain system is of high importance due to their perishable nature and impact on society, the economy, and environment. In this paper, three models for two-stage pricing, coordination, and volume loss reduction of the supply chain where third-party logistics service providers and retailers act as a Stackelberg leader and a follower for fresh agricultural products are developed, taking into account both volume loss during transport and quality loss in retail in the presence of strategic consumers. The following results are drawn from the contract for sharing revenues and service costs: (1) The supply chain achieve coordination and the products are healthier for consumers; (2) the coordination leads to a reduction in the three types of volume losses simultaneously only if the lowest marginal costs of the supply chain occur under certain conditions; and (3) the increase in the service sensitivity coefficient, the increase in the freshness discount coefficient under certain conditions, the decrease in the consumer benefit discount coefficient under certain conditions, and the decrease in the price sensitivity coefficient lead to an increase in the profit of the supply chain and a reduction in the three types of volume losses.

A Two-Echelon Agricultural Product Supply Chain with Freshness and Greenness Concerns: A Cost-Sharing Contract Perspective

Agricultural products are basic needs of human beings, and whether they are cultivated in a green (or organic) manner has direct impact on environment and public health. This research incorporates product freshness and greenness into a two-echelon agricultural product supply chain (APSC). Game theoretic analyses are carried out to examine pricing, freshness, and greenness decisions of the supply chain members with and without cost-sharing for greenness investment. Subsequently, we conduct comparative and sensitivity analyses for these optimal decisions and profits of the APSC members under different cases. Numerical experiment is employed to investigate the impact of key parameters on equilibrium decisions and profitability. Analytical and experimental results show that the cost-sharing contract of greenness investment for agricultural products helps to strengthen the supply chain members’ effort in improving the greenness and freshness levels of the agricultural product, thereby enhancing both individual and channel profitability of the APSC under certain conditions. This research also reveals a widened profit gap between the producer and the retailer under the cost-sharing contract.

Optimizing decisions of fresh-product members in daily and bourse markets considering the quantity and quality deterioration: A waste-reduction approach

Unlike the great importance of differences between market types, the investigation of them is almost neglected in the fresh agricultural product supply chain (FAPSC). In this respect, this study aims to find proper answers for two questions, which FAPSC’s members face: 1) which market (daily or bourse) is economical for trading items? 2) How to adopt a strategy (decentralized or coordinated) to control the waste by FAPSC members while the members’ profit remains at a satisfactory level? Accordingly, the daily and bourse markets under a farmer-retailer Stackelberg game are studied in the first model. Afterward, a mathematical coordination model using a novel two-part tariff contract is developed between farmer and retailer in the market, which has been optimally determined in the first model. A data set from a real-world application is examined to validate the proposed models. The results demonstrate that the profit of both the farmer and retailer under the bourse market is more than the daily market. Moreover, the coordinated strategy increases the retailer’s profit as well as its order quantity, the farmer’s freshness-keeping investment as well as its profit, and the entire FAPSC’s profit compared to the decentralized strategy. The quantity of wasted products and the retail price under the coordinated strategy is lower than that under the decentralized strategy. Accordingly, related decision-makers are advised to make the two-part tariff contract under a coordinated strategy to reduce wasted products without posing a risk to their profit. The sensitivity analysis implies that by increasing the demand uncertainty and shipping cost, the coordinated strategy is more efficient in improving the FAPSC profit and controlling the quantity waste rather than the decentralized strategy.

Multi-stakeholder partnerships in agricultural commodity supply chains and deforestation-free commitments in the Amazon: a delicate balance

Multi-stakeholder commitments to end deforestation have increased since the UN Climate Summit (UNCS) in 2014. Despite many agreeing to halve deforestation by 2020 and end it by 2030. Brazil is missing among the NYDF 2014 signatories. In this research, we discuss historical challenges, bottlenecks, and lessons learned about deforestation-free commitments at the local level, and the establishment of sustainable agricultural product supply chains. Through secondary research analysis and the review of Brazilian environmental legislation between 2011 and 2017, we examined the interactions and dependencies of the soy and beef supply chains that access productive territorial dynamics regarding these commitments, previously the many changes that occurred in Brazil with the new government, causing the dismantling of command and control policy and institutional frameworks in the Brazilian Amazon.

Decision-Making on the Supply Chain of Fresh Agricultural Products with Two-Period Price and Option Contract

The price risk of fresh agricultural products has been a significant topic in recent years. Taking the two-level fresh agricultural product supply chain as the research object, this paper studies the optimal ordering and coordination of supply chain based on two-period price, wholesale price and option contract. The optimal order decision of the retailer at the single period price and the optimal decision corresponding to the supplier are obtained when the output of the supplier is uncertain under decentralized decision-making. The range of penalty cost parameter that avoids supplier default is also obtained. The effect of two-period price on the optimal order decision and supply chain profits is discussed when the production yield of the supplier is fixed. Cost-sharing contract is introduced to increase the order quantity and achieve coordination because the option contract cannot completely make the supply chain coordination with two-period price. This paper provides a low-cost approach that can be applied in fresh agricultural supply chain to solve financing and order problems.

English

English

CVAR-Based Agricultural Product Supply Chain and Farmers’ Labor Rights Protection

CVAR-Based Agricultural Product Supply Chain and Farmers’ Labor Rights Protection

Complexity analysis of a decision-making game concerning governments and heterogeneous agricultural enterprises with bounded rationality

Abstract Government subsidy intensity, nitrogen emission reductions, and pricing decisions in a Bertrand agricultural products supply chain system were investigated. This paper presents the results of a decision-making competition game model involving governments and heterogeneous agricultural enterprises based on bounded rationality. The impact of government on the emission reduction behavior of agricultural enterprises was evaluated. The study revealed that the speed of price adjustment and subsidy intensity may alter the system stability and lead to chaos, with the price adjustment speed having a more sensitive influence on the system than the subsidy intensity adjustment speed. In addition, certain parameters (pe and r0) affected the system stability, decision variables, and the profits made by government and agricultural enterprises. When the parameters became harmful to enterprises and governments, the system fell into chaos and the stable region increased in the direction of the subsidy intensity adjustment speed. Finally, the chaos in the agricultural supply chain was successfully controlled by the delayed feedback control method.

Analysis on the stability and evolutionary trend of the symbiosis system in the supply chain of fresh agricultural products.

In order to increase the stability of fresh agricultural product supply chain, farmers and enterprises need to evolve into a symbiotic system of supply chain. At the present stage, symbiotic relations and evolutionary trends in a symbiotic system for fresh agricultural product supply chains lack quantitative methods for determining symbiotic criteria. In the sense of quantification -oriented criteria, symbiotic systems for fresh agricultural product supply chains are defined, and an improved stationary state analysis method is proposed. Three key steps in this method are quantifying a symbiotic energy model with an evaluation model of ecological carrying capacity, setting up a system evolution model based on the logistic growth function, and verifying the symbiotic system's singularity and phase transition boundary by Lyapunov indirect method. MATLAB numerical simulation shows that types of singularity and the phase transition boundary of symbiotic system are divided effectively. And in both conditions, infinite exponential growth and convergence to steady state, the mutualism mode is the optimal choice for the symbiotic system we defined, symbiotic relations between farmers and cooperative companies are stable and long-term at this time. Those conclusions provide a reference approach to enhance the overall prospective benefits to the fresh agricultural products supply chain.

Risk assessment of agricultural supermarket supply chain in big data environment

With the application of big data in all walks of life, big data thinking is effectively improving the circulation efficiency of agricultural products supply chain by driving management changes in business decision-making and "farmer-supermarket docking" as an innovative mode of agricultural products circulation. Based on the current situation of China's agricultural supermarket supply chain development, this paper makes an in-depth study on the supply chain risk of agricultural products of large retail enterprises under the mode of "agricultural supermarket docking", and then introduces the agricultural supermarket docking supply chain under the big data environment. This paper uses big data to analyze the risks that may arise in the supply chain of "agricultural supermarket docking" in large retail enterprises. This paper from the aspects of production, processing, distribution, retail and consumption, introduces the new risks of agricultural supermarket supply chain after introducing big data. Secondly, Qualitative analysis and quantitative calculation are combined to conduct risk assessment. Through empirical analysis, the ranking of all risk factors is obtained, and the relevant fuzzy evaluation grade and risk evaluation criteria are given. Through expert evaluation, a new risk ranking is also obtained, which is not much different from the results of empirical analysis, and the empirical results are also verified. Therefore, develop this study is helpful to prevent the risk of agricultural supermarket supply chain connection. At the same time, the information integration, sharing and feedback of the big database provide a new idea for the optimization of the supply chain connecting agricultural production.it also has reference significance for other supply chain risk management.

Supply chain coordination of fresh agricultural products based on consumer behavior

The circulation efficiency of the fresh agricultural product supply chain is greatly influenced by the purchasing power of end consumers. In this paper, a method to coordinate a fresh agricultural product supply chain with the consideration of strategic consumer behavior is proposed. First, considering the characteristics of the fresh agricultural products supply chain, the utility function of consumers is provided. Second, under the centralized chain, this study focuses on the impact of consumer behavior on supply chain decision-making, quantifies the strategic behavior of strategic consumers as a risk aversion coefficient, and analyzes the impact of consumer risk on supply chain decision-making. Third, two coordination contracts based on revenue sharing and wholesale price are designed for the decentralized decision making in fresh agricultural product supply chain. Finally, through numerical analysis, the sensitivity analysis of some key parameters in the model is carried out.

Discussion on the Optimization of Web of Things Supply Chain of Agricultural Products and Information Sharing Based on RFID

The emergence of Web of things technology has completely refreshed people’s understanding of the relationship between objects and wireless networks. After people realize the use value of the Web of things, people’s skilled use of the Web of things helps people to come up with a combination of the Web of things and the SC. This paper mainly introduces the basic framework of the Web of things and puts forward the optimization scheme and information sharing model of the SC of the Web of things for agricultural products based on RFID.

Real-time emergency management mode of cold chain logistics for agricultural products under the background of “Internet+”

To solve the problems of the traditional cold chain logistics management mode of agricultural products, such as loose circulation, inaccurate information transmission, untimely processing, serious loss of fresh agricultural products, a real-time and accurate management of cold chain logistics is es tablished to study the real-time emergency management mode of cold chain logistics for agricultural products under the background of “Internet+”. Method: Under the background of “Internet+”, the e-commerce platform and the cold chain logistics network are combined, and the physical real-time emergency management mode of the cold chain of agricultural products is divided into the sub-mode of “production warehouse+cold chain”, the sub-mode of “e-commerce+cold chain express+smart cabinet” and the sub-mode of “cold chain storage+chain new retail”; through the circulation efficiency improvement algorithm of cold logistics supply chain, the circulation loss between nodes is reduced, to improve the circulation efficiency of the supply chain; The evaluation method of real-time emergency management mode for cold chain logistics, the entropy weight method and the analytic hierarchy process are selected to jointly determine the weight, and the fuzzy comprehensive evaluation method is used to comprehensively evaluate the emergency management effect of cold chain logistics for agricultural product. Results: The final score of the performance evaluation in enterprise SX’s fresh agricultural product supply chain using the emergency management mode is 69.52 points, and the efficiency value of cold product logistics management in the enterprise C is 0.536. Conclusion: The real-time emergency management mode of cold chain logistics of agricultural products studied has certain feasibility, which can accurately analyze the advantages and disadvantages of cold chain logistics management of different enterprises.