EMan Mold Intelligent Manufacturing Management System
Digitalized Full-process Management of Mold Manufacturing
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About
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Products
- Digitalization of Production Management
- Advanced Scheduling System
- Flexible Manufacturing System
- Intelligent In-Plant Warehousing and Logistics
- Digital Supply Chain Collaboration
- Intelligent Design
- Full Plant Digitalization Planning
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EMom Mass Production Manufacturing Operation Management System
Achieving Flexible Manufacturing for Small Batch, High Variety Production in Injection Molding and Stamping Industries
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EMes Equipment Manufacturing Management System
Creating an Intelligent Operations Platform for Equipment Manufacturing Production Management
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EMdc Equipment Data Collection System
Unrestricted by Time and Space, Facilitating Comprehensive Data Collection for All Factory Operations
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EAtm Flexible Automation Processing System
Continuous 7x24 Production with Unmanned Night Shifts
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EAct Semi-Automated Intelligent Processing System
Human-Machine Collaboration to Reduce Intensity and Free Up Labor
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EXB In-Machine Inspection
Real-Time Monitoring and Prompt Feedback for Automated Inspection
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EAsRs Automated Storage and Retrieval System
Reducing Warehousing Space, Labor Costs, and Reliance on Experience
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EAgv Intelligent Handling System
Enhancing Production Flexibility and Warehouse Intelligence
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EWms Intelligent Warehouse Management System
Create a transparent, real-time, and visualized warehouse management experience.
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BangcaiTong - Mould Full Lifecycle Management Platform
Building a collaborative information platform for mould assets for enterprises.
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BangcaiTong - Mould Supply Chain Collaborative Management Cloud Platform
Achieve visualization of procurement supply chain data and transparency of procurement processes.
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Industries
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Successful Cases
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Equipment Industry
Equipment manufacturing for non-standard orders involves machining and multi-level assembly, characterized by varied customer needs, long R&D cycles, frequent changes, single-item delivery, low process repeatability, and challenges in mass production. The production process is complex, with high variability in design, production, and delivery, making management difficult. Traditional methods struggle to enhance market competitiveness.
Challenges
Low Assembly Efficiency and Long Cycles
Assembly tasks require thousands of material varieties, making it difficult to know the assembly completion progress in advance. Shortages of assembly materials and misallocation of general materials lead to assembly line stoppages, resulting in low assembly efficiency, long cycles, and frequent delays.
Low Executability of Production Plans
Equipment manufacturing involves numerous complex devices, orders, and processes. Scheduling relies heavily on data support from various stages, including production plans, equipment status, and inventory levels. Many companies rely on experience for plan management, leading to low executability of production plans.
Difficulty in Sustaining Production Quality Traceability
The production process involves complex processes and various testing equipment, which may lead to different anomalies during production. These issues are difficult to track, making it hard to sustain production quality traceability.
Challenges in Cost Accounting
Workshop production involves multiple risks and challenges, such as complete assembly material allocation, equipment status, and personnel changes, which impact progress. The production process involves equipment, manpower, materials, and other aspects, with differences in cost methods and bases between stages, thus complicating cost accounting.
EMAN's Comprehensive Solution for the Equipment Manufacturing Industry
This solution addresses the custom order-driven design process involving machining and multi-stage group assembly, characterized by diverse customer demands, long development cycles, frequent production changes, single-piece production delivery, low repeatability of processes, and challenges in mass production. The production organization process is complex, requiring management across stages where variations are abundant. Relying on traditional management and production models, it is difficult to enhance the competitiveness of the enterprise in the market.
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EMes Equipment Manufacturing Management System
Creating an Intelligent Operations Platform for Equipment Manufacturing Production Management
The EMAN Equipment Manufacturing System (EMes) targets ETO-style diverse, small-batch, non-standard manufacturing. It offers production scheduling, visualization, assembly tracking, and cost analysis to manage the entire lifecycle. This reduces costs, boosts efficiency, shortens delivery times, and enhances operations, creating a digital and transparent factory. -
APS Intelligent Planning and Scheduling System
Industry Model, Intelligent Algorithm, Human-Machine Interaction, Scientific Scheduling
The APS (Advanced Planning and Scheduling System) considers constraints like resources, shifts, product processes, materials, and inventory. It creates detailed schedules based on limited capacity, aligning demand with planning and execution with materials. Utilizing TOC-DBR theory, it maximizes bottleneck capacity and optimizes output. -
EMdc Equipment Data Collection System
Unrestricted by Time and Space, Facilitating Comprehensive Data Collection for All Factory Operations
The EMAN Equipment Connectivity System enables real-time data collection and analysis for predictive maintenance, fault prediction, and quality control. It integrates with production management and automated processing systems, providing a platform for improved efficiency and equipment interconnectivity. -
EMan Mold Intelligent Manufacturing Management System
Digitalized Full-process Management of Mold Manufacturing
The EMAN Mold Intelligent Manufacturing System is designed for manufacturing companies that deal with custom, small-batch, and diverse product lines such as molds. It manages the entire process from order receipt to delivery, addressing the "5W" issues in mold production: when, where, who, what was done, and who handles the next process.
Blueprint
Centered on Advanced Planning and Scheduling (APS), the system includes in-depth management of the five core departments: orders, processes, planning and scheduling, production manufacturing, and quality management. By integrating software and hardware business processes, it achieves comprehensive coverage from production manufacturing, data collection, management, to business operations.
Advantages
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7*24H Rolling Planning Scheduling
A comprehensive scheduling system enables 7*24H rolling planning scheduling, using limited production resources in conjunction with constraints such as personnel, machines, and materials. This ensures the rationality and executability of production scheduling plans, making the production process more orderly and efficient. Resource load analysis summary ensures effective collaboration across departments and timely delivery of orders. -
Assembly Completeness Management
The tracking and management of assembly component completeness ensure that enterprises can avoid material shortages during production, thus improving assembly efficiency. -
End-to-end Quality Management
Establish end-to-end anomaly rectification processes for production quality issue data, improve data collection and monitoring systems, and ensure real-time, accurate data so that all personnel can effectively use the MES system and participate in quality management activities. -
Progress and Cost Management
Achieve visual management to make processing progress transparent, easily and quickly monitor the actual processing progress of tasks, locate task information in real-time, and perform multi-dimensional refined statistical analyses of various costs. Compare planned and actual costs to identify and resolve deviations promptly, ensuring that project progress and costs remain under control. -
Multi-system Data Integration
Business-driven information interconnectivity across multiple systems allows data transfer between systems, reducing the need for manual system switching operations and eliminating information silos within the enterprise.
