在供应链优化模型中,成本和水足迹的权衡
Dennis E Cruz1, Raymond R Tan2
1Department of Industrial & Systems Engineering, De La Salle University, 2401 Taft Ave, Manila, Philippines.
概括
本研究介绍了一种双目标优化模型,以最大限度地降低供应链成本和水足迹 (WF). 该模型帮助工业系统通过优化供应商选择和管理供应短缺来适应气候变化.
科学领域:
- 环境科学与环境管理
- 运营研究 运营研究
- 工业生态学 工业生态学
背景情况:
- 水足迹 (WF) 量化了工业系统中淡水的使用情况.
- 现有的文献主要关注产品WF评估,而不是供应链决策.
- 气候变化需要为水密集型行业制定适应性战略.
研究的目的:
- 开发供应链供应商选择的双目标优化模型.
- 同时最大限度地降低经济成本和水足迹 (WF).
- 为了确定最优的行动供应短缺考虑到WF.
主要方法:
- 开发供应商选择的双目标优化模型.
- 将水足迹 (WF) 纳入成本最小化目标.
- 通过三个案例研究进行演示,包括一个随机变体.
主要成果:
- 该模型有效地将供应链成本和水足迹 (WF) 降到最低.
- 原材料的水足迹对供应短缺的决定产生重大影响.
- 当WF被赋予至少20-50%的权重时,WF成为优化中的关键因素,这取决于具体情况.
- 增加WF重量对WF显著性达到时的总成本产生反向影响.
结论:
- 开发的模型为优化供应链提供了一个强大的工具,其目标是双重成本和水足迹.
- 将WF整合到供应商选择和短缺管理中,对于可持续的工业实践至关重要.
- 该模型的发现强调了考虑嵌入WF在原材料中的重要性,以有效适应气候变化.
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