2022-02-01-埃森哲-How_digital_twins_enable_autonomous_operations_15页_2mb

Summary of "Next Generation Manufacturing Systems Architecture"

Introduction

The report discusses the evolution of manufacturing systems toward Industry 4.0, emphasizing the need for flexibility, scalability, and intelligence to support data-driven adaptive operations. Based on Accenture research, manufacturers face challenges with traditional siloed architectures as they move toward end-to-end adaptive operations.

Key Challenges

Traditional manufacturing systems are limited by:

• Siloed architectures that hinder high-value use cases requiring integrated data beyond individual assets or functions.
• Inability to handle vast data volumes, exceeding existing system capacities.
• Functional silos (e.g., MES, LIMS, EAM) that obstruct progress toward autonomous operations.

Digital Twins as a Solution

Digital twins are a key innovation enabling:

• Unification of data from multiple sources with context, allowing for progressive learning and optimization.
• Support for simulation, predictive analytics, and adaptive intelligence at scale, accelerating the journey to autonomous operations by providing contextualized data for various use cases.

Integration and Investment Maximization

Existing systems can integrate with digital twins to leverage investments without full replacement:

• Digital twins act as an open platform to connect data from sources like ERP, PLCs, and supply chains, delivering benefits within 3-6 months through use-case-based implementation.
• Streamlining legacy architectures is recommended to simplify data flow, standardize processes, and enhance integration.

Role of MES Vendors

MES vendors are adapting to competition:

• Evolving solutions to include cloud flexibility, expanded portfolios (e.g., data historians, analytics), and partnerships with cloud platforms.
• Utilizing flexible commercial models to shift from capex to subscriptions, making deployments easier and faster.

Conclusion

Embracing a flexible, scalable, and intelligent manufacturing architecture, particularly with digital twins, enables manufacturers to improve efficiency, reduce costs, and outperform peers, ultimately supporting the transition to adaptive operations.