Managing bioethanol supply chain resiliency: a risk-sharing model to mitigate yield uncertainty risk
Managing bioethanol supply chain resiliency: a risk-sharing model to mitigate yield uncertainty risk
复制标题
管理生物乙醇供应链弹性：减轻产量不确定性风险的风险分担模型
DOI：
10.1108/imds-09-2017-0429
复制
发表时间：
2018
影响因子：
5.5
通讯作者：
Fu Shaoling
中科院分区：
文献类型：
--
作者：
Ye Fei;Hou Gang;Li Yina;Fu Shaoling
目的
Purpose
The purpose of this paper is to propose a risk-sharing model to coordinate the decision-making behavior of players in a cassava-based bioethanol supply chain under random yield and demand environment, so as to mitigate the yield and demand uncertainty risk and improve the bioethanol supply chain resiliency and performance.
Design/methodology/approach
The decision-making behavior under three models, namely, centralized model, decentralized model and risk-sharing model, are analyzed. An empirical test of the advantages and feasibility of the proposed risk-sharing model, as well as the test of yield uncertainty risk, risk-sharing coefficients and randomly fluctuating cassava market price on the decision-making behavior and performances are provided.
Findings
Though the proposed risk-sharing model cannot achieve the supply chain performance in the centralized model, it does help to encourage the farmers and the company to increase the supply of cassava and achieve the Pareto improvement of both players compared to the decentralized model. In particular, these improvements will be enlarged as the yield uncertainty risk is higher.
Practical implications
The findings will help decision makers in the bioethanol supply chain to understand how to mitigate the yield uncertainty risk and improve the supply chain resiliency under yield and demand uncertainty environment. It will also be conducive to ensure the supply of feedstock and the development of the bioethanol industry.
Originality/value
The proposed risk-sharing model incorporates the yield uncertainty risk, the random market demand and the hierarchical decision-making behavior structure of the bioethanol supply chain in the model.