| Title | Minimizing carbon emissions of the rice supply chain considering the size of deep tillage lands |
|---|---|
| ID_Doc | 18091 |
| Authors | Li, J; Fang, Y; Yang, JM |
| Title | Minimizing carbon emissions of the rice supply chain considering the size of deep tillage lands |
| Year | 2022 |
| Published | |
| Abstract | The deep tillage of soil consumes fuel at higher costs, which creates a large amount of carbon emissions. For large-scale farming in particular, the threat to the environment cannot be ignored. Currently, very few studies have considered the impact of the size of the deep tillage area on carbon emissions. Effectively controlling the size of the deep tillage area can reduce the emission of carbon dioxide at a certain level and optimize profits, which is crucial to the sustainable development of agricultural supply chains. In this paper, we design a new contract-farming rice supply chain network based on "Cooperative + Storage Company", which considers tillage as the start point for the supply chain echelon. A multi-product, multi-period, bi-objective optimization model is proposed to maximize profit and minimize carbon emissions in the network. Moreover, we consider the grain rotation task of the storage company in the modeling. The 4-metrics method is used to solve the bi-objective model. Subsequently, an actual scenario is used to verify the effectiveness of the model. The results indicate that changes in the size of the deep tillage area have a significant impact on carbon emissions, and the size of the deep tillage area is negatively correlated with the total farm size, thereby affecting the carbon dioxide release. The results also indicate that carbon emissions can be minimized by increasing the number of cooperatives or expanding the size of farms. The proposed model can aid decision-makers in selecting an optimal set of solutions based on their preferences or policies. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. |
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