scholarly journals A Multinational Green Supply Chain Model Suffered to Import Tariff

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Mengyue Zhai ◽  
Mingwu Liu ◽  
Hong Fu ◽  
Qiaoling Fu

This paper considers a multinational green supply chain (MGSC), composed of a manufacturer and a foreign retailer affected by import tariff. The main theme of this paper is to explore supply chain decisions and coordination contract. Four decision models were investigated: (1) the centralized decision supply chain model (model CS), (2) the decentralized decision supply chain model (model DS), (3) the R&D cost sharing contract model (model RD) with the retailer sharing a portion of green R&D cost, and (4) the quantity discount-cost sharing contract model (model QD), which combined a quantity discount contract with a cost sharing contract. The equilibrium decisions of these models were derived. The R&D cost sharing contract was found to improve greenness and performance of the supply chain but cannot reach the optimal performance compared to the centralized decision model. While the quantity discount-cost sharing contract can achieve a perfect coordination of MGSC. Furthermore, import tariff has an adverse effect on the performance of MGSC. The increase in tariff shrinks the threshold of the highest wholesale price and quantity discount coefficient offered by the manufacturer, which will hamper the cooperation of supply chain. However, the enhancement of consumers’ green preference is conducive to encourage the retailer to participate in cooperation and smoothen the adverse effects of tariff fluctuation. In the same model, the adverse effect of tariff on product greenness and the retail price does not change with the increase in its value. However, the adverse effect on the green performance price ratio and the profits from all parties in the supply chain are slow.

2020 ◽  
Vol 15 (4) ◽  
pp. 1419-1450 ◽  
Author(s):  
Ata Allah Taleizadeh ◽  
Mahsa Noori-Daryan ◽  
Shib Sankar Sana

Purpose This paper aims to deal with optimal pricing and production tactics for a bi-echelon green supply chain, including a producer and a vendor in presence of three various scenarios. Demand depends on a price, refund and quality where the producer controls quality and the vendor proposes a refund policy to purchasers to encourage them to order more. Design/methodology/approach In the first scenario, the members seek to optimize their optimum decision variables under a centralized decision-making method while in the second scenario, a decentralized system is assumed where the members make a decision about variables and profits under a non-cooperative game. In the third scenario, a cost-sharing agreement is concluded between the members to provide a high-quality item to the purchasers. Findings The performance of the proposed model is investigated by illustrating a numerical example. A sensitivity analysis of some key parameters has been done to study the effect of the changes on the optimal values of the decision variables and profits. From sensitivity analysis, the real features are observed and mentioned in this section. Originality/value This research examines the behavior of partners in a green supply chain facing with a group of purchasers whose demand is the function of a price, greenery degree and refund rate. This proposed mathematical model is developed and analyzed which has an implication in supply chain model.


2011 ◽  
Vol 2 (3) ◽  
pp. 1-15
Author(s):  
A. H. Basiri ◽  
A. Shemshadi ◽  
M. J. Tarokh

Recently, with the environmental crisis, Green supply chain management (or GSCM), and in particular closed loop supply chain model, has received considerable attention by researchers. Closed loop supply chain model aims at reduction of waste and generating profit for enterprises through integrating forward and reverse logistics. Unfortunately, there is limited research on general models for closed loop supply chains in literature. In this paper, extending and enhancing previous models, a general model is proposed for closed loop supply chains using linear programming. The goal of this study is to minimize the leakage of a closed loop supply chain to avoid waste and reduce SCM costs.


2019 ◽  
Vol 20 (2) ◽  
pp. 24
Author(s):  
Muhammad Faisal Ibrahim ◽  
Maulin Masyito Putri

In practice, the policy of delaying payment periods is prevalent between players in a supply chain system. Generally, payments made at the end of the permitted period. Supply chain management is one of the keys to corporate sustainability that the activities have an impact on the environment.  This paper aims to develop an integrated green supply chain model with a permissible delay in payment consideration. In this research, the author develops a mathematical model to find the effect of delay in payment on emissions costs without ignoring the economic performance of a supply chain. The author develops four different scenarios model. Furthermore, numerical experiments and sensitivity analysis tests were conducted. Result of the study shows that delay in payment is integrated players into the supply chain system.  It has a positive impact on reducing supply chain emissions costs.


2020 ◽  
Vol 8 (2) ◽  
pp. 73-86
Author(s):  
S. M. Shahidul Islam ◽  
Risat Hossain ◽  
Mst. Jamila Yasmin

Green supply chain management coordinates environment issues into the supply chain business. It has been popular to both academicians and practitioners. Smooth supply of processed agricultural products is essential for human beings and pets. In some models, excess raw materials, byproducts and defected products are kept neglected in producing and marketing finished products. Here, we have presented a three-tier green supply chain model for an agricultural product where byproducts are used for some purposes. Solution procedure of the model is derived. We have demonstrated the model using two numerical example problems.


Author(s):  
A. H. Basiri ◽  
A. Shemshadi ◽  
M. J. Tarokh

Recently, with the environmental crisis, Green supply chain management (or GSCM), and in particular closed loop supply chain model, has received considerable attention by researchers. Closed loop supply chain model aims at reduction of waste and generating profit for enterprises through integrating forward and reverse logistics. Unfortunately, there is limited research on general models for closed loop supply chains in literature. In this paper, extending and enhancing previous models, a general model is proposed for closed loop supply chains using linear programming. The goal of this study is to minimize the leakage of a closed loop supply chain to avoid waste and reduce SCM costs.


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