制造业系统的重新配置,以实现可持续生产:一种新的混合优化方法
Reda Nujoom1,2, Ahmed Mohammed3,4, Ali Diabat5,6
1School of Engineering, University of Portsmouth, Portsmouth, UK.
Environmental science and pollution research international
|October 3, 2023
概括
本研究提出了一个混合框架,将模糊优化和离散事件模拟结合起来,以设计可持续的制造系统. 它尽量减少能源消耗和二氧化碳排放,同时考虑生态友好型生产的经济因素.
科学领域:
- 工业工程 工业工程 工业工程
- 运营研究 运营研究
- 环境科学 环境科学
背景情况:
- 越来越严格的环境法规需要可持续的制造实践.
- 传统的制造设计往往忽视生态影响,主要关注经济因素.
- 需要综合方法来评估和优化制造系统的经济和环境性能.
研究的目的:
- 开发一个混合框架,整合模糊的多目标优化和离散事件模拟,用于可持续的制造系统设计.
- 同时最大限度地降低经济成本和生态影响 (能源消耗,二氧化碳排放).
- 为优化资源配置提供决策工具,包括机械,照明和冷却,以及材料流.
主要方法:
- 开发了一个新的混合框架,结合了模糊的多目标优化和离散事件模拟.
- 生态 (能源,二氧化碳) 和经济数据被整合到模糊优化模型中.
- 采用决策试验和评估实验室 (DEMATEL) -epsilon约束方法来实现多目标优化.
- 离散事件模拟用于生产系统的综合性性能评估.
主要成果:
- 混合框架成功地整合了早期制造系统设计的经济和生态目标.
- 这种方法有助于确定可持续生产的最佳机器数量,照明和冷却设备.
- 一个现实生活中的应用验证了框架的有效性,作为一个决策工具,以平衡经济约束和环境目标.
结论:
- 提出的混合框架是设计可持续制造系统的有价值的决策工具.
- 它可以确定最佳解决方案,平衡经济可行性与减少能源使用和二氧化碳排放.
- 该研究表明,通过先进的模拟和优化技术,将生态方面纳入制造系统设计的可行性.
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