使用人工蜂鸟算法进行生产控制和废物减少的间隔变化方法
Subhajit Das1, Adel Fahad Alrasheedi2, Ali Akbar Shaikh3
1Department of Mathematics, Bhagalpur College of Engineering, Sabour, Bhagalpur, India, 813210.
Scientific reports
|December 20, 2024
概括
公司现在可以优化生产,并使用新的人工蜂鸟算法减少危险废物. 这种环保制造方法平衡了利与绿色产品标准,帮助管理决策.
科学领域:
- 运营研究 运营研究
- 环境管理环境管理
- 计算智能是一种计算智能.
背景情况:
- 越来越多的消费者对环保产品的需求需要可持续的制造实践.
- 传统的生产方法往往会产生大量的危险废物,给环境和经济带来挑战.
- 公司需要有效的策略来平衡利能力与环境责任.
研究的目的:
- 开发一个优化模型来管理生产流程,尽量减少浪费,并维护绿色产品标准.
- 引入和评估人工蜂鸟算法 (AHA) 在环保制造业中实现利最大化.
- 将AHA的性能与其他元启发式优化技术进行比较.
主要方法:
- 开发一种新的优化模型,将生产管理,废物减少和绿色标准整合起来.
- 实现和应用人工蜂鸟算法 (AHA) 来解决利最大化问题.
- 在多个案例研究中对AHA与各种已建立的优化算法进行比较分析.
主要成果:
- 在大多数案例研究中,人工蜂鸟算法在与其他优化技术相比显示出更高的性能.
- 优化模型有效地支持企业管理生产和减少危险废物.
- 敏感性分析为可持续制造业的明智管理决策提供了宝贵的见解.
结论:
- 人工蜂鸟算法是优化环保制造工艺的高效元启发式算法.
- 开发的模型为旨在提高利能力,同时遵守环境标准的公司提供了切实可行的解决方案.
- 这项研究有助于通过创新的计算方法推进可持续运营管理.
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