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相关概念视频

Supercritical Fluid Chromatography01:18

Supercritical Fluid Chromatography

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Supercritical fluid chromatography (SFC) provides a beneficial substitute for gas chromatography (GC) and liquid chromatography (LC) for certain samples because it merges the top attributes of both techniques. SFC allows the separation and analysis of compounds that GC or LC does not easily manage. These compounds are traditionally nonvolatile or thermally unstable, making GC unsuitable and lacking functional groups required for HPLC analysis.
SFC utilizes a supercritical fluid mobile phase,...
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Control Systems01:10

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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相关实验视频

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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将生命周期评估整合到供应链优化中

Selin Hülagü1, Wout Dullaert1, A Sena Eruguz1

  • 1Department of Operations Analytics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

PloS one
|January 15, 2025
PubMed
概括

本研究介绍了供应链生命周期优化 (SCLCO) 模型,将供应链优化 (SCO) 和生命周期评估 (LCA) 整合起来. 通过SCLCO,可以同时优化经济,环境和社会可持续性,提高供应链效率和影响评估.

科学领域:

  • 运营研究 运营研究
  • 环境科学 环境科学
  • 可持续性科学 可持续性科学

背景情况:

  • 供应链优化 (SCO) 和生命周期评估 (LCA) 对可持续和高效的供应链至关重要.
  • 目前的方法通常将SCO和LCA单独处理,导致数据不一致和范围限制.
  • 需要一个统一的框架来弥合SCO和LCA方法之间的差距.

研究的目的:

  • 开发一个新的供应链生命周期优化 (SCLCO) 模型,集成SCO和LCA.
  • 为SCO和LCA社区创建一个统一的公式,协调原则,术语和符号.
  • 允许同时考虑环境,经济和社会可持续性支柱.

主要方法:

  • 开发了一个基于LCA数据结构的SCLCO模型.
  • 纳入多个时间段,闭环SCO决策,包括反向物流和库存管理.
  • 利用现有SCO模型的计算实验来验证SCLCO方法.

主要成果:

  • 该SCLCO模型有效地整合了SCO和LCA,解决了顺序方法的局限性.
  • 计算实验证明了该模型能够为从业者和研究人员提供有价值的见解.
  • 在SCLCO内部同时执行可以最大限度地减少被忽视的决策影响,并增强从LCA数据库的数据传输.

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结论:

  • SCLCO模型提供了一种统一的方法来优化供应链的经济,环境和社会绩效.
  • 这种综合方法促进了供应链管理中更强大,更一致的决策.
  • SCLCO弥合了SCO和LCA之间的差距,促进了整体供应链的可持续性.