在不确定性下的可持续葡萄种植供应链:集成数据包裹分析,人工神经网络和多目标优化模型
Zahra Seyedzadeh1, Mohammad Saeed Jabalameli1, Ehsan Dehghani1
1School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
The Science of the total environment
|March 4, 2025
概括
本研究介绍了一种可持续的葡萄种植供应链模型,以最大限度地降低成本,降低环境影响,并提高社会效益. 混合方法优化了葡萄园的选择,而强大的方法可以处理不确定性以提高效率.
科学领域:
- 农业经济学 农业经济学
- 运营研究 运营研究
- 环境科学 环境科学
背景情况:
- 葡萄种植供应链至关重要,但未经优化,影响经济,环境和社会因素.
- 现有的模型往往未能在供应链设计中解决可持续性的多目标性质.
- 供应链运营中的不确定性给效率和可持续性带来了重大挑战.
研究的目的:
- 开发一个多目标,可持续的葡萄种植供应链网络设计模型.
- 基于可持续性标准,整合一个混合战略,以优化葡萄园的选择.
- 增强供应链对抗不确定性的稳定性.
主要方法:
- 一种混合方法,将数据环境分析 (DEA) 和人工神经网络 (ANN) 结合起来,用于葡萄园选择.
- 一个强大的优化框架来管理供应链的不确定性.
- 增强的epsilon约束方法来解决多目标优化问题.
主要成果:
- 拟议的模式有效地将成本,环境影响降至最低,并在葡萄种植供应链中增强社会效益.
- 混合葡萄园选择策略根据可持续性指标确定了最佳位置.
- 强大的优化方法显示出优于确定性方法的优势,特别是在不确定性条件下.
结论:
- 开发的模型为设计可持续和高效的葡萄种植供应链提供了一个框架.
- 混合葡萄园选择方法对于确定最佳,可持续的地点是有效的.
- 该研究强调了强大的优化在管理不确定性的重要性,以实现弹性葡萄种植供应链.
相关概念视频
01:09Decision Making: P-value Method
5.2K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.2K
01:14Decision Making: Traditional Method
4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
36
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
36
01:16Response Surface Methodology
82
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:
The process of RSM involves several key steps:
82
01:22Multi-input and Multi-variable systems
93
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
93
00:59Uncertainty: Overview
496
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
496