通过应用多标准决策的概念来设计具有环境可持续性的绿色机器人
V Sathiya1, S Mahalakshmi2, S Ramabalan3
1Department of Computer Science and Engineering, Selvam College of Technology, Namakkal, Tamil Nadu, 637003, India. sathiyav2105@gmail.com.
Scientific reports
|July 2, 2025
概括
本研究探讨了绿色机器人 (GR) 在实时应用中的性能,分析了它与绿色供应链管理 (GSCM) 和绿色计算的联系. 研究促进环保材料和资源效率,以提高可持续性.
科学领域:
- 机器人与环境科学 机器人与环境科学
- 可持续工程 可持续工程
背景情况:
- 越来越多地强调环境可持续性,推动了技术中的环保创新.
- 绿色机器人 (GR) 仍然是一个尚未探索的领域,需要进一步研究可持续发展.
研究的目的:
- 评估绿色机器人 (GR) 在实际应用中的性能.
- 分析GR,绿色供应链管理 (GSCM) 和绿色计算之间的相互联系.
- 为了研究在整个机器人生命周期中提高可持续性的方法.
主要方法:
- 开发两种教育型移动机器人 (MR),使用混合多标准决策 (MCDM) 技术.
- 分析网络流程 (ANP) 和解释结构建模 (ISM) 的整合用于研究问题解决.
- 评估绿色计算,材料选择,能源和降低成本的措施.
主要成果:
- 对拟议的混合方法的有效性进行实证验证.
- 在实时应用中证明了GR的性能.
- 成功整合绿色原则,从机器人设计到部署.
结论:
- 绿色机器人通过倡导环保材料和减少能源消耗,为可持续发展做出了重大贡献.
- 该研究强调了GR在提高资源效率,减少浪费和减少生态影响方面的作用.
- 促进可持续制造和机器人领域的协作环保方法.
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