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

doi:10.3969/j.issn.1007-7375.230254

Abstract

Abstract: 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.

Key words: intelligent manufacturing, production and operation management, challenges, scientific issues, key research directions

CLC Number:

F407
C931

JIANG Zhibin, ZHOU Liping. Production and Operation Management for Intelligent Manufacturing: Challenges, Scientific Issues, Key Research, and Latest Development[J]. Industrial Engineering Journal, 2024, 27(1): 1-9.

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