PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 1, 2026Procedia Computer Science0 citationsOpen Access

Architecture Design of Manufacturing Supply Chain Management System Driven by Data Space

View Full Paper
HLHaoyu LiuJNJinxuan Nan

Key Points

  • This research aims to design an innovative architecture for manufacturing supply chain management to enhance agility, transparency, and risk resilience.
  • Developed a five-in-one system framework, including overall, technical, application, data, and security architectures.
  • Focused on application scenarios relevant to manufacturing enterprise management.
  • Framework aims to accelerate collaboration between supply chain operations and business processes like production and marketing.
  • Provides theoretical and practical references for improving efficiency and reducing costs in manufacturing enterprises.

Abstract

Against the backdrop of intensified global competition, rising production costs and volatile market demands, China’s manufacturing supply chain is confronted with challenges such as insufficient agility, low transparency and weak risk resistance. To address the common problems such as data silos, system rigidity and low collaborative efficiency in the manufacturing industry, our research starts from the application scenarios of manufacturing enterprise management and designs the architecture of the manufacturing supply chain management system, forming a five-in-one, collaborative and interactive system framework composed of the overall architecture, technical architecture, application architecture, data architecture and security architecture. It aims to accelerate the collaboration between the supply chain and business operations such as production, marketing, and services, and form data-driven intelligent decision-making capabilities, providing feasible theoretical references and practical paths for manufacturing enterprises to achieve cost reduction, efficiency improvement, and collaborative innovation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a1d228d02fbce913063852chttps://doi.org/10.1016/j.procs.2026.03.327
Ask AI
Helpful
Bookmark
Share
View Full Paper