协同人工智能和运营研究,以促进生物制造的进步
Tugce Martagan1, Tinglong Dai2,3
1Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA.
Health care management science
|September 27, 2025
概括
人工智能 (AI) 和运营研究 (OR) 提高生物制造的效率和安全性. 这篇评论探讨了AI-OR集成,强调了大学与工业的合作伙伴关系,并提出了未来的路线图.
科学领域:
- 生物技术是生物技术.
- 工艺工程的过程工程.
- 数据科学数据科学数据科学
背景情况:
- 生物制造面临着复杂的运营挑战,影响效率和安全.
- 人工智能 (AI) 提供预测分析,而运营研究 (OR) 提供规范性解决方案.
- 整合AI和OR可以产生结构化,可解释和可验证的解决方案.
研究的目的:
- 探索人工智能和OR在生物制造中的协同潜力.
- 在AI-OR实施中突出成功的大学和行业合作.
- 为AI-OR集成提出战略路线图.
主要方法:
- 对生物制造当前人工智能和OR方法的审查.
- 分析来自大学与工业伙伴关系的案例研究.
- 开发一个AI-OR集成的概念框架.
主要成果:
- 人工智能和OR为优化生物制造工艺提供了互补的优势.
- 成功的合作伙伴关系在效率,安全和创新方面表现出有形的好处.
- 显然需要结构化整合策略.
结论:
- 人工智能和OR的协同作用对于推动生物制造至关重要.
- 战略路线图和合作努力对于实现AI-OR潜力至关重要.
- 未来的生物制造可能会利用集成的AI-OR框架来提高性能.
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