scholarly journals The Evaluation of SMEs Credit Risk Supply Chain Finance Based on the Third-party B2B E-commerce Platform

Author(s):  
Shu-yuan XIAO ◽  
Mei-gui TAN
Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Limin Wang ◽  
Qiankun Song ◽  
Zhenjiang Zhao

The optimal pricing of dual-channel supply chain with the third party product recovery and sales effort is considered in this paper. The optimal selling pricing of direct channel and retail channel in the forward supply chain and the optimal collection pricing of retail channel and the third party in the backward supply chain are given for the general case under the centralized and decentralized model. Then, the effect of sales effort of the retailer and the optimal pricing strategy with sales effort under the centralized and decentralized model are provided and analyzed. Finally, the comparative analysis of four situations is carried out by numerical results.


2013 ◽  
Vol 409-410 ◽  
pp. 1089-1092
Author(s):  
Wei Yang Zhao ◽  
Bin Zhang

The paper establishes an inventory routing integrated model to economize the supply chain cost based on a supply chain composed of a single supplier, a third party logistics enterprise and multiple retailers. First of all, the paper acquires the optimal path arrangement for the third party logistics vehicles and the initial fixed partition through ant colony algorithm. Secondly, the paper calculates the total cost of the supply chain through the integral multiple sampling period and the fixed partition policies. Finally, the paper adjusts the third party logistics replenishment period for different partitions until the cost of supply chain comes to the minimum.


2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Wenbin Wang ◽  
Jia Lv ◽  
Ni An ◽  
Jie Guan ◽  
Shiyuan Quan

This paper investigates the reward-penalty mechanism (RPM) implemented by the government in a closed-loop supply chain (CLSC) with asymmetric information. The manufacturer produces and sells products to consumers, while the collection of waste electrical and electronic equipment (WEEE) is delegated to the third-party collector, the one who has private information about the collection effort level. An information screening contract for the manufacturer is put forward to obtain the private information from the third-party collector, which is composed of buy-back price and franchise fee. By utilizing principal-agent theory, two cases are mainly examined including the CLSC without the RPM and the CLSC with the RPM. The results demonstrate that (i) the information screening contract is effective in capturing the collector’s collection effort level, (ii) raising the buy-back price to motivate the third-party collector is confirmed to perform well on enhancing the collection quantity from consumers, (iii) H-type collector collects more WEEEs and earns more profits than L-type collector, and (iv) the RPM improves the collection quantity of the enterprise and reaps more environmental benefits. The numerical results verify the validity of the contract and the feasibility of the RPM.


Author(s):  
A. Chakraborty ◽  
Tarun Maiti ◽  
B. C. Giri

The main feature of sustainable supply Chain Management is reuse of End of Life (EOL) products to reduce the environmental pollution. This paper considers the Consignment Stock (CS) policy for a Closed-Loop Supply Chain (CLSC). To achieve the economic goal, this study presents a multi-echelon supply chain with a single manufacturer, a single retailer and a third-party service provider. The objective is to optimize this three-level CLSC under a Stackelberg game scenario. The other objective is to identify the environmental impact of remanufacturing EOL products. In this CLSC, the manufacturer acts as the Stackelberg leader and the retailer, the third party are the followers. Under manufacturer's leadership, the retailer and the third party acquire three different decision strategies - I, II, and III. In decision strategy I, the retailer acts as the leader and the third party acts as a follower, whereas in decision strategy II, they obtain a Nash game strategy. In the decision strategy III, they act as one unit and decide their decisions centrally. Numerical example and sensitivity analysis are used to illustrate optimal results of different decision strategies and also check the behaviour of key model-parameters. The best outcomes are found in decision strategy I. The main findings of our study show that when upper level player has more power then the supply chain gives best outcomes.


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