MOM Smart Manufacturing Platform
Delivers a complete smart manufacturing solution for enterprises, enabling intelligent, automated, and digital production. The platform includes 12 subsystems: APS (Advanced Planning & Scheduling), MES (Manufacturing Execution System), WMS (Warehouse Management System), LES (Logistics Execution System), QMS (Quality Management System with SPC), SCADA (Supervisory Control & Data Acquisition), TPM (Total Productive Maintenance), eSOP (Electronic Standard Operating Procedures), SRM (Supplier Relationship Management), MBI (Smart Manufacturing Business Intelligence), EHS (Environment, Health & Safety), and EMS (Energy Management System).
Product Details
SuperMOM Smart Manufacturing Platform
One-sentence positioningMOM (Manufacturing Operations Management) sits at Layer 3 of the ISA-95 standard. It bridges ERP's planning and orders above with SCADA/PLC execution and data below, serving as the operational hub for smart factories. ISA-95 divides Layer 3 into four business domains: Production Operations, Quality, Inventory, and Maintenance. The 12 modules you selected are the implementation vehicles for these domains.
I. Platform Advantages
Strategic Positioning and BoundariesMOM is not a stack of 12 systems, but a collaborative platform driven by data flows. Clearly define boundaries with ERP (L4) and equipment control layers (L2) to avoid functional overlap.
Master plan, phased implementationThe most common cause of MOM project failure is trying to be "comprehensive" from the start. Recommended approach: Phase 1 delivers core functionality, Phase 2 adds extensions, and Phase 3 deepens capabilities (see roadmap).
Master data firstInaccurate material data, BOMs, routing, operations, and equipment capacity lead to completely flawed APS scheduling. Fix your master data first before pursuing intelligence.
Integrated Architecture DesignEnd-to-end integration across ERP, MOM, and SCADA layers; multi-channel connectivity via APIs (REST), message queues (MQTT/Kafka), and file interfaces; seamless coordination with AGVs, AS/RS, and PLCs.
Standards & ComplianceUnified coding, data dictionaries, batch forward/backward traceability, barcode/RFID; aligned with industry standards IATF 16949, ISO 9001, and GMP (pharmaceutical companies require Computerized System Validation, CSV).
Technical ArchitectureMicroservices / Middle Platform + Industrial Time-Series Database + Edge Data Collection; for multi-factory groups, consider a hybrid architecture of "Group Cloud + Factory Edge" to balance centralized control with local stability.
Organization and Change ManagementEstablish a cross-functional task force comprising management, IT, production, quality, and warehousing. Personnel at the execution level must undergo multiple training sessions, provide feedback on outcomes, and complete performance assessments.
Selection StrategyAvoid getting locked into "MOM/MES" terminology; address the most critical pain points first. Verify native support for future scalability and be wary of over-customization that inflates maintenance costs. Prioritize integrated capabilities (API), reporting engines, and industry-specific adaptability.
Metrics SystemOEE, Plan Achievement Rate, Kit Completion Rate, First Pass Yield (FPY), Traceability Chain Integrity, Inventory Turnover, Energy Consumption per Unit
Risk ControlBiweekly Review of Requirement Changes and Data Migration Special Plan (Cleaning Rules + Mapping Table)
II. Platform Features (12 Subsystems)
Business Domain | Module | Core Construction Content |
|---|---|---|
Planning Domain | APS Intelligent Scheduling | Capacity model, finite capacity scheduling, multi-objective optimization (delivery date/cost/changeover), material/equipment/labor constraints, rolling rescheduling with MES execution loop |
Execute Domain | MES Production Execution | Work Order Dispatch, Task Assignment & Reporting, Error-Proofing (Poka-Yoke), SFC WIP Management, Forward/Backward Batch Traceability, Andon, Paperless Operations |
Process Domain | eSOP Work Instructions | Digital work instructions with version control, process binding, multimedia guidance (images/video), and error-proofing linkage for process parameters. |
Quality Domain | QMS (including SPC) | IQC/IPQC/OQC inspection, nonconformance handling (NCR), 8D/CAPA, SPC control charts and CPK analysis, quality traceability |
Logistics Domain | WMS Warehouse Logistics | Inbound/Outbound, Bin Management, Batch/Expiry, FIFO, Stocktaking, Integration with AS/RS and AGV |
Logistics Domain | LES Material Delivery | Pull-based distribution (Kanban / workstation call), kit verification, delivery tasks, line-side warehouse collaboration, and empty container return. |
Device Domain | SCADA Device Monitoring | OPC UA/Modbus/SECS data acquisition, real-time monitoring and alerts, production line visualization, and integration with PLC/DCS systems |
Device Domain | TPM Predictive Maintenance | Equipment Ledger, Inspection & Maintenance Plan, Fault Work Orders, Spare Parts Management, MTBF/MTTR, Vibration/Temperature Predictive Maintenance |
Supply Domain | SRM Supplier Collaboration | Supplier Onboarding & Profiles, RFQs, Order/Incoming Material/Quality Collaboration, Performance Evaluation |
Environment Domain | EHS Environmental Management | Hazard Management, Dangerous Work Permitting, Training & Certification, Emergency Response, Environmental Monitoring, Occupational Health |
Environment Domain | EMS Energy Management | Water, electricity, and gas metering; zone- or device-level consumption statistics; unit consumption analysis; energy usage alerts; and linked energy-saving measures. |
Data Domain | MBI Smart Manufacturing Dashboard | Metric Dictionary, Data Aggregation (Data Warehouse / Real-time), Workshop Dashboard, Multi-level Cockpit, Mobile Reports |
3. Implementation Roadmap
Stage | Cycle | Objectives and Key Actions | Outputs and Milestones |
|---|---|---|---|
P0 Blueprint and Selection | 4–8 weeks | Current assessment, process mapping, target architecture, phased planning, solution selection | Business Blueprint and Requirements List |
P1: Core Path Unlocked | 3–6 months | Master Data Governance; Core Launch of MES, WMS, and QMS; Implementation of Batch Traceability Chain | Core production line operational; inventory records match physical stock. |
P2 Extended Integration | 3–6 months | APS launched; LES/AGV delivery; SCADA data collection; TPM equipment management | Plan — Execute — Logistics — Equipment Closed Loop |
P3 Deepen Application | 3–6 months | eSOP, SRM, EHS, EMS, and MBI are now fully live. | Run all modules in 12 |
P4 Operations Optimization | Continue | Data-driven optimization, predictive maintenance enhancement, and continuous training iteration | Metrics continue to improve |
Our implementation methodology follows industry-standard practices:Pre-study → Blueprint Design → System Configuration / Development → Integration Testing → UAT Acceptance → Pilot Launch → Operational Optimization，Each phase has its own deliverables and decision gates.
IV. Implementation Strategy
Aim for big and complete, one step at a time → Launch in phases; get the system running first.
Inaccurate master data leads to flawed APS scheduling. Calibrate first, then enable intelligence.
Siloed modules and missing interfaces → Define the integration architecture before development.
Don't just look at demos → Evaluate industry-specific implementation cases
Skipping on-site training and change management → System goes live unused
No data governance → Distorted dashboards, broken traceability
