黄金城集团

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SIE iMOM

Digital Manufacturing Operation Management System SIE iMOM
iMOM digital manufacturing operation management is a new generation of MOM industry product solution jointly developed by SIE and Huawei. Based on the business template components accumulated under Huawei Cloud Industrial Digital Model Driving Engine (iDME) and the digital manufacturing cloud platform MBM Space, it builds a scenario-based toolchain system in the "platform + industry application" mode. With a unified data model and componentized design, it supports flexible application assembly and connection. It adopts a Center-Site architecture that represents the unified management and business collaboration among group companies, chain leaders, and industrial clusters. It supports elastic deployment across "cloud, edge, and device", addressing the high concurrency and high availability requirements of automated factories through various deployment methods such as HC cloud, CloudPond intelligent edge stations, and HCS private clouds
Core business scenario
Advanced Planning and Scheduling

By using APS as the core to horizontally connect business chains and vertically break down information barriers, a dynamic balance system of sales, supply, production, and inventory is constructed, forming a closed-loop collaborative operation mechanism of demand side production end supply chain. A lean driven planning system is established to connect end-to-end value streams and achieve real-time linkage and closed-loop control of the entire value chain.

Advanced Planning and Scheduling Advanced Planning and Scheduling
In plant logistics and driving

Based on supply chain collaboration and lean management, we aim to build a smart logistics platform that integrates supply logistics, production logistics, and sales and service logistics. Comprehensively enhance the ability of enterprise groups to manage multiple factories and warehouses in different locations, and to manage global inventory in a unified and precise manner throughout the supply chain. Realize end-to-end visual and intelligent scheduling of the entire business process from planning, procurement, delivery, production, distribution, fulfillment, and delivery, reduce the overall inventory and logistics costs of the supply chain, and improve supply chain efficiency.

In plant logistics and driving In plant logistics and driving
Manufacturing Execution Control

Building an integrated intelligent manufacturing center with "planning, execution, monitoring, and optimization" centered on the control of the entire production process, comprehensively enhancing the production efficiency and quality control capabilities of enterprises. To achieve full process coverage from demand management, production scheduling, production execution, abnormal response, and data analysis, providing enterprises with a closed-loop production management system from work order issuance to product delivery, helping enterprises achieve transparent production, agile response, and continuous improvement.

Manufacturing Execution Control Manufacturing Execution Control
Quality and Process Control

Building an integrated quality management platform of "prevention, control, governance, and retention" with PDCA closed-loop management as the core, comprehensively enhancing the enterprise's product quality assurance capabilities. Focus on five core competencies: quality prevention, data integration, management visualization, real-time anomaly warning, and improved closed-loop tracking. By covering the entire scenario of "process management, risk prevention, anomaly control, and knowledge retention", we provide enterprises with a closed-loop quality governance system from risk warning to continuous improvement.

Quality and Process Control Quality and Process Control
Comprehensive equipment management

With "preventive maintenance" as the core, we have established a full lifecycle management system encompassing "ledger-spot inspection-maintenance-repair", creating a digital equipment operation and maintenance platform to comprehensively enhance overall equipment effectiveness (OEE) and reliability. Through the full-process coverage of "standardized basic management, intelligent spot inspection and maintenance, rapid repair response, and lean spare parts management", we provide enterprises with a closed-loop management system from equipment ledger establishment to disposal.

Comprehensive equipment management Comprehensive equipment management
Solution Architecture

Create a scenario based toolchain system using the "platform+industry application" model to achieve data-driven and information collaboration. Based on model driven component-based design, support flexible app selection, and adopt the Center Site architecture to help enterprises achieve "group consistent control, cost reduction and efficiency improvement" in intelligent manufacturing transformation and upgrading


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Application Value
1+N "full manufacturing chain

Targeting the three major industries of electronics, auto parts, and equipment, covering business such as machining, sheet metal, packaging and testing, assembly, whole machine, and complex assembly

Full business coverage

Business scope: master data, process, planning, logistics, manufacturing, quality, equipment, data acquisition, operation and maintenance, environmental safety, manufacturing operations

Design and Manufacturing Integration

Integrating process planning and design, process simulation, and utilizing public manufacturing engineering management to facilitate rapid information flow and change response between design and manufacturing horizontally

Integration of IT and OT

Manage engineering data collection, recipe management, interface mapping with external IOT or SCADA, form status monitoring, message warning and other businesses

Group KPI system

Group based unified management indicator system, collecting data from various bases to form a data lake, predicting development trends, root cause analysis, and constructing digital twins

Meta model driven

Targeting business objects, modeling first and then instance, forming a comprehensive data value network throughout the entire lifecycle, providing data from the same source, and achieving a seamless process

Center Site architecture

Unified data model, unified application platform, support for COE central governance, on-demand cloud edge elastic deployment, support for disaster recovery, archiving, high availability and other solutions

More efficient development

The system adopts a microservice architecture, component-based design, and is based on TinyEngine's low code foundation. It accesses services through API based methods, with minimal customization and easy dual opening

3PR standard support

The data model complies with the ISA-95 standard and the DISA 3PR standard, providing standard structure, upstream and downstream of the industry chain, and global data interconnection

Xinchuang is independent and controllable

Based on domestic technology and open-source component construction, it has passed the independent usability review of the Electronic Fifth Institute (in progress), meets the requirements of information and innovation, and is compatible with ecological products

Customer cases in the electronics industry
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