scholarly journals Incentive Decision on Safety Investment of Supply Chain of Agricultural Products in “Agricultural Super-Docking”

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Weiqin Tang ◽  
Weimin Tang ◽  
Changsheng Jiang ◽  
Shan Lu

Since the “agriculture super-docking” mode was introduced in China in 2007, remarkable success has been made in reducing the transaction cost and improving the quality safety of agricultural products. However, the quality safety issues of agricultural products still occur frequently because both specialized farmers’ cooperatives and supermarkets have insufficient safety investment. In order to study the necessity, goal, and incentive decision schemes of safety investment in “agriculture super-docking” supply chain, three kinds of models, which include noncooperatives distributed decision-making model, centralized decision-making model, and incentive coordination models led by cooperatives and supermarkets, are, respectively, set up in this paper. Conclusions are drawn as follows: when making the uncooperative decentralized decision, both cooperatives and supermarkets have the moral risks to decrease the safety investment, but appropriate measures can achieve the coordination of the supply chain; when achieving the coordination of supply chain, the two contacts under the guidance of cooperatives and supermarkets are the same, and the schemes of distributing profits are also the same. Moreover, a practical case is given to improve the effectiveness and feasibility of the incentive decision schemes.

2014 ◽  
Vol 945-949 ◽  
pp. 3195-3198
Author(s):  
Hai Dong ◽  
Qing Sen Lv

Based on the analysis of the development of agriculture in our country, and the application of supply chain management in agriculture, the centralized decision-making model and the decentralized decision-making model without contract are established for a two-level supply chain made by a farmer and an enterprise processing agricultural products, figuring out that the decentralized decision-making model without contract cannot achieve the optimal decision for the sake of the whole supply chain. Then the order contract is set up, and through the analysis of the decentralized decision based on the order contract we can find that the order contract leads to the output of agricultural products to achieve the optimal supply chain system.


2006 ◽  
Vol 39 (2) ◽  
pp. 929-935
Author(s):  
B. Erik Ydstie ◽  
Kendell R. Jillson ◽  
Eduardo J. Dozal-Mejorada

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhaoying Ouyang

Virtual enterprise is a dynamic alliance of businesses, in which multiple members undertake joint research, development, manufacturing, operation, etc. The complexity of the relationship between business members, coupled with many new technologies or methods applied in the alliance operation, leads to more uncertain factors and difficulties in the operation and risk management of the virtual enterprise. The distributed decision-making model is a fast and effective decision-making model, in which dispersed intellectual resources and information resources are dynamically integrated through virtual organization forms and operating mechanisms, and the dynamic reorganization, result evaluation, and synthesis of the decision-making system are realized by certain control rules. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of the risk control of virtual enterprise; elaborated the development background, current status, and future challenges of distributed decision-making model; introduced the related works of decision-making variable calculation and constraint determination; constructed a risk control model for virtual enterprise based on distributed decision-making model; analyzed the multiobjective model and interval programming model of risk control; established a risk control approach for virtual enterprise based on distributed decision-making model; performed the optimal allocation of risk control funds and the selective optimization of backup allies; and finally conducted a case analysis. The study results show that, in view of the diversity of relationships between alliance businesses and the complexity of the distribution of cooperative areas, the distributed decision-making model can more reasonably describe the relationship between alliance members and accurately control the risks of virtual enterprise from multiple angles, which can effectively manage the risks of virtual enterprise. The study results of this paper provide a reference for further research on the risk control of virtual enterprise based on distributed decision-making model.


2014 ◽  
Vol 722 ◽  
pp. 409-412
Author(s):  
Shi Ying Jiang

The forward green supply chain consisting of the manufacturer and retailer is as the background. The Game Theory is used,and two kinds of green supply chain game models are set up: the Centralized decision-making model, and the Manufacturer-leading Stackelberg game model.Then we carry out numerical simulation.We find that (1)With the increase of green level of green products, the market price of green product is increasing, the profit the manufacturer and the retailer are also increasing;(2)The manufacturer and the retailer will benefit from that consumers have strong environment consciousness.So we suggest the manufacturer and the retailer should cooperate to produce higher green level of products.


Author(s):  
Aruna Dhamija

Under the assumptions of complete sharing of information between organizational departments and the presence of an independent decision making authority for the entire supply chain, previous supply chain research highlights centrally controlled models. Due to information privacy, most of the facilities in the supply chain are functionally centralized in exercise. Collaboration between these functional units is most important for responding to rapid changes in customer requirements and for resolving conflicts. Intelligent Agent Systems have been shown to be effective in achieving collaboration and effective communication in the environment of distributed decision making. In this paper, intelligent agents are proposed and validated Reducing cost of a decentralized distribution planning process for development for multiple echelons, multiple products and multiple intervals.


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