在印度织供应链中采用循环化的风险减轻策略
Ashutosh Mishra1, Gunjan Soni1, Bharti Ramtiyal2
1Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan India.
概括
这项研究为印度织行业采用循环供应链 (CSC) 引入了一个新的框架. 它将情境演员过程和学习行动表现 (SAP-LAP) 技术与解释性排名过程 (IRP) 和贝叶斯网络 (BN) 结合起来,以更好地管理风险.
科学领域:
- 环境科学 环境科学
- 工业工程 工业工程 工业工程
- 供应链管理 供应链管理
背景情况:
- 织行业严重污染,迫切需要可持续的做法和循环经济的整合.
- 在印度织行业采用循环供应链 (CSC) 对减轻环境影响至关重要.
- 现有的CSC采用的决策框架缺乏全面的风险分析.
研究的目的:
- 为分析印度织行业中CSC采用风险缓解策略制定决策框架.
- 加强情境演员流程和学习行动表现 (SAP-LAP) 技术,以改善决策.
- 为可持续的织品供应链确定和优先考虑风险和减轻风险的行动.
主要方法:
- 使用了情境演员过程和学习行动表演 (SAP-LAP) 技术.
- 整合了解释性排名过程 (IRP) 来解决SAP-LAP中的决策限制.
- 采用贝叶斯网络 (BN) 来建模风险,因素和缓解行动之间的因果关系.
主要成果:
- 建立了一个结合SAP-LAP和IRP的新型决策框架,用于CSC采用风险分析.
- 贝叶斯网络可视化了风险,因素和缓解策略之间的条件依赖关系.
- 该研究为印度织行业提供了风险和缓解策略的优先级等级.
结论:
- 提出的基于SAP-LAP和IRP的模型有效地帮助减轻织行业中CSC采用的风险.
- 综合框架为管理环境影响和促进可持续性提供了一个结构化的方法.
- 这项研究为印度织企业提供了可操作的见解,旨在实现循环经济的整合.
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