对工艺选择和制造业绩效改进的决策工具进行系统审查
Ziyad Sherif1, Konstantinos Salonitis1
1Sustainable Manufacturing Systems Centre, Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield, MK43 0AL UK.
概括
选择制造过程优化工具是复杂的. 本次审查分析了多标准决策分析 (MCDA) 和生命周期评估 (LCA) 等方法,提出了更好的整合和可持续性的框架.
科学领域:
- 制造业 工程 制造工程
- 运营研究 运营研究
- 工业生态学 工业生态学
背景情况:
- 由于复杂的流程和多样化的决策工具,制造过程优化面临着挑战.
- 现有的工具往往是狭的重点,不一致的应用,或缺乏整合策略,限制其产业影响.
研究的目的:
- 在制造业的单元工艺层面进行比较评估的决策工具的系统审查.
- 分析工具的应用,好处和局限性,以选择制造路线和优化特定流程.
主要方法:
- 通过结构化数据库搜索识别的37篇期刊文章的系统文献审查.
- 分析常用的工具,包括多标准决策分析 (MCDA),生命周期评估 (LCA) 和直接比较.
- 评估先进的工具,如深度学习和计算模拟.
主要成果:
- 虽然MCDA提供了强大的多维评估,但它是复杂和数据密集的.
- 直接比较提供了可访问的见解,但范围有限;先进的工具面临可扩展性挑战.
- 可持续性指标在当前的过程级别决策中的有限整合.
结论:
- 为未来的研究提出了一个结构化的框架,重点是数据管理,人工智能集成和工具可扩展性.
- 需要结合不同工具的混合方法来平衡可持续性和运营效率的权衡.
- 加强决策框架对于现代制造系统至关重要.
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