一个双目标强大的模糊编程模型来配置基于微电网的水泥供应链
Erfan Babaee Tirkolaee1,2,3, Hêriş Golpîra4, Salah Bahramara5
1Department of Industrial Engineering, Istinye University, Istanbul, 34396, Turkey.
Scientific reports
|November 12, 2025
概括
本研究介绍了一种强大的模糊优化模型,用于可持续的水泥供应链,集成微电网和可再生能源. 它平衡环境目标与经济可行性,为管理人员提供实用工具.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 环境工程 环境工程
背景情况:
- 水泥供应链面临着高能耗,排放和不确定性的挑战.
- 整合可再生能源和排放控制对于可持续性至关重要.
- 现有的模型往往难以在不确定性下解决多目标优化问题.
研究的目的:
- 开发一种新的双目标强大的模糊混合整数线性编程 (MILP) 模型.
- 配置基于微电网的水泥供应链,优化环境和经济因素.
- 为了管理需求的不确定性,能源成本和排放参数.
主要方法:
- 制定了一个双目标强大的模糊的MILP模型.
- 集成了微电网,以利用当地可再生能源.
- 权重总和方法 (WSM) 应用于帕雷托最佳解决方案.
- 强大的模糊编程处理了参数不确定性.
主要成果:
- 该模型成功地配置了一个可持续的水泥供应链.
- 敏感性分析确定了关键的管理杆,如收入比率和满意度等.
- 该模型展示了计算效率,在不到两秒的时间内找到解决方案.
结论:
- 这项研究为水泥供应链提供了一个全面的,不确定性意识的优化框架.
- 拟议的模型为减少环境影响和确保经济可行性提供了实际的决策支持.
- 该框架解决了可持续供应链设计中的一个关键差距.
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