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Updated: May 30, 2025

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
A shared value network model based on synergy theory in intelligent manufacturing.
Pingping Gu1, Jiahui Yu2, Xianzhong Zhou2
1School of Transportation and Civil Engineering, Nantong University, Nantong, China.
This study introduces a shared value network model to enhance resource utilization in intelligent manufacturing. The proposed model optimizes operations to meet market demands and maximize value gain in the manufacturing industry.
Area of Science:
- Manufacturing Engineering
- Operations Research
- Systems Theory
Background:
- Intelligent manufacturing is a growing trend driven by technological advancements.
- Traditional business models struggle with optimal resource utilization.
- There is a need for innovative models to address these limitations.
Purpose of the Study:
- To propose a novel shared value network model for intelligent manufacturing.
- To optimize resource allocation and value creation within the manufacturing sector.
- To enhance the efficiency of the manufacturing industry through a synergistic approach.
Main Methods:
- Development of a three-layered shared value network model: resource network layer, value connection layer, and resource coordination layer.
- Application of synergy theory as the foundational principle for the model.
- Utilization of coordination theory and priority strategies for operational mechanism design and optimization.
Main Results:
- The proposed shared value network model effectively integrates resources and value creation.
- The optimization scheme successfully addresses market demands and maximizes value gain.
- Verification through an industrial case study confirms the model's practical effectiveness.
Conclusions:
- The shared value network model offers a viable solution for resource maximization in intelligent manufacturing.
- Synergy theory provides a robust framework for designing efficient manufacturing operations.
- The model demonstrates significant potential for improving the performance of the manufacturing industry.
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