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面向智能制造的生产运作管理:挑战、科学问题、关键研究及部分新进展OACHSSCDCSTPCD

Production and Operation Management for Intelligent Manufacturing:Challenges,Scientific Issues,Key Research,and Latest Development

中文摘要英文摘要

简要介绍智能制造的互联、集成、服务、定制、时变等管理特征;分析了这些特征对生产运作管理提出的挑战,包括面向数字供应网络的多维度集成、柔性与网络化的生产、自组织优化配置制造资源、去中心化的自主决策与协同控制、学习型运作管理、强大的自优化与适应能力、前瞻性决策等.从价值创造机理、资源组织与重构机理以及生产计划调度体系 3个方面提炼亟待解决的科学问题;进一步从融合机理、资源重构方法、生产计划与调度方法以及物流运行管理方法提出关键研究内容.最后介绍了若干智能制造生产运作管理研究新进展,为生产管理研究和实践提供新思路.

This paper briefly introduces management characteristics of interconnection,integration,services,customization,and time-varying in intelligent manufacturing.The challenges these characteristics pose to production and operation management is analyzed,including multi-dimensional integration for digital supply networks,flexible and networked production,self-organizing optimization of manufacturing resources,decentralized autonomous decision-making and collaborative control,learning operation management,powerful self optimization and adaptability,forward-looking decision-making,etc.Subsequently,three aspects are identified as scientific issues that need to be addressed:value creation mechanism,resource organization and reconfiguration mechanism,and production planning and scheduling systems.Additionally,four key research directions are proposed:integration mechanism,resource reconfiguration methods,production planning and scheduling methods,and logistics operation and management methods.Finally,this paper highlights latest development in intelligent manufacturing production and operation management,providing new ideas for production management theories and practice.

江志斌;周利平

上海交通大学 安泰经济与管理学院,上海 200030||上海交通大学 中美物流研究院,上海 200030上海交通大学 中美物流研究院,上海 200030

经济学

智能制造生产运作管理挑战科学问题关键研究

intelligent manufacturingproduction and operation managementchallengesscientific issueskey research directions

《工业工程》 2024 (001)

1-9 / 9

国家自然科学基金重点资助项目(71931007)

10.3969/j.issn.1007-7375.230254

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