多功能并行网络 DEA 的拥堵
Sarvar Sadat Kassaei1, Farhad Hosseinzadeh Lotfi1, Alireza Amirteimoori2
1Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
PloS one
|October 2, 2023
概括
本研究引入了一种新的数据环境分析 (DEA) 模型,用于检测多功能并行系统中的经济拥堵. 拟议的方法有效地识别复杂的生产单位的拥堵,与现有的方法不同.
科学领域:
- 运营研究 运营研究
- 工业工程 工业工程 工业工程
- 经济分析 经济分析
背景情况:
- 拥堵的特点是投入过多而减少产出,增加成本并降低效率.
- 现有的数据包裹分析 (DEA) 方法主要针对没有网络结构的决策单元 (DMU).
- 现实世界的应用通常涉及具有独立生产子单位的复杂单元,需要专门的拥堵检测.
研究的目的:
- 提出一种新的DEA模型,用于识别和评估多功能并行系统中的拥堵.
- 解决现有的DEA模型在处理网络结构的DMU方面的局限性.
- 为复杂的生产系统中的拥堵分析提供一种高效的计算方法.
主要方法:
- 为多功能并行系统量身定制的新DEA模型的开发.
- 考虑每个DMU内各个子单位的运营方面.
- 对计算经济与现有的"黑子"方法进行比较分析.
主要成果:
- 拟议的DEA模型有效地识别和评估多功能并行系统中的拥堵.
- 这种新方法比传统方法具有显著的计算优势.
- 通过数值示例和现实世界案例研究进行验证.
结论:
- 开发的DEA模型为复杂的生产系统中的拥堵分析提供了更有效和计算经济的解决方案.
- 这项研究将DEA应用扩展到网络结构的DMU,特别是多功能并行系统.
- 这些发现为决策者提供了宝贵的见解,旨在在复杂的操作环境中优化效率和降低成本.
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