WACE MES - Manufacturing Execution System

WACE Enterprise Solution

WACE MES - Manufacturing Execution System

Bridge the gap between ERP and shop floor with real-time visibility, AI-powered optimization, and complete traceability. Transform your manufacturing operations with Industry 4.0 capabilities.

Core Features

Real-time Production Monitoring & Control

Resource Allocation & Status Tracking

Detailed Production Scheduling & Optimization

Quality Management Integration

Digital Work Instructions & SOP Management

Material Genealogy & Traceability

OEE & KPI Analytics Dashboard

Predictive Maintenance Integration

Technical Specifications

Data Update Rate

< 100ms real-time

Concurrent Users

Unlimited scalable

Data Retention

7+ years configurable

API Response Time

< 200ms average

Uptime SLA

99.95% guaranteed

Protocol Support

OPC UA, MQTT, REST, GraphQL

Database

Time-series optimized

Deployment

Cloud, On-premise, Hybrid

System Integrations

SAP S/4HANA & ECC
Oracle Cloud SCM & EBS
Microsoft Dynamics 365
Salesforce Manufacturing Cloud
Siemens PLC/SCADA
Rockwell Automation
OPC UA Servers
IoT Platforms (AWS IoT, Azure IoT)
BI Tools (Tableau, Power BI)

Industry Use Cases

Automotive Manufacturing

Track every component through assembly lines with full genealogy

15% reduction in defect rates

Electronics Assembly

Real-time quality monitoring and automated SPC analysis

25% improvement in first-pass yield

Pharmaceutical Production

21 CFR Part 11 compliant batch records and electronic signatures

50% faster batch release times

MES Architecture Layers

Presentation Layer

Modern, responsive interfaces for all stakeholders with role-based dashboards and mobile-first design

Web Dashboard
Mobile Operator App
Touch HMI Panels
Executive Analytics
Real-time Alerts
Custom Reports

Application Layer

Core MES business logic with microservices architecture enabling scalable, modular functionality

Production Planning
Work Order Management
Quality Control
Inventory Tracking
Resource Scheduling
Performance Analytics

Integration Layer

Seamless connectivity with enterprise systems and shop floor equipment through industry standards

ERP Connectors
PLM Integration
SCADA/PLC Interface
IoT Gateway
API Management
Message Queue

Data Layer

High-performance data management with time-series optimization and real-time processing capabilities

Time-Series Database
Data Lake Storage
Real-time Stream Processing
Historical Data Archive
Master Data Management
Analytics Engine

Implementation Methodology

2-4 weeks

Phase 1: Assessment & Planning

Comprehensive analysis of current state, requirements gathering, and roadmap development

Key Activities:

  • Process mapping and gap analysis
  • System architecture design
  • Integration point identification
  • Risk assessment and mitigation planning
  • ROI analysis and KPI definition
4-8 weeks

Phase 2: Core Configuration

System setup, core module configuration, and integration with critical systems

Key Activities:

  • Base system installation and configuration
  • Master data setup and migration
  • ERP and PLM integration
  • User role and security configuration
  • Basic workflow implementation
4-6 weeks

Phase 3: Pilot Implementation

Controlled deployment in selected production areas with continuous refinement

Key Activities:

  • Pilot line equipment connectivity
  • Operator training and onboarding
  • Real-time data validation
  • Process optimization and tuning
  • Performance baseline establishment
8-12 weeks

Phase 4: Full Rollout

Phased expansion across all production areas with continuous improvement

Key Activities:

  • Sequential production line deployment
  • Advanced analytics implementation
  • Mobile application rollout
  • Integration with quality systems
  • Performance monitoring and optimization
Ongoing

Phase 5: Optimization & Support

Continuous improvement, advanced feature deployment, and 24/7 support

Key Activities:

  • AI/ML model deployment and tuning
  • Advanced reporting and analytics
  • Predictive maintenance integration
  • Continuous process improvement
  • Regular system health checks and updates

Customer Success Stories

Global Automotive Manufacturer

Automotive

Managing complex multi-variant production with 10,000+ SKUs across 5 plants, experiencing frequent line stoppages and quality issues

Solution:

Implemented WACE MES with real-time production monitoring, automated quality gates, and predictive analytics for proactive issue resolution

+28%

OEE Improvement

-45%

Quality Defects

-35%

Changeover Time

$8.5M

Annual Savings

Electronics Contract Manufacturer

Electronics

Lack of real-time visibility into production status, manual data collection causing delays, and inability to meet customer SLA requirements

Solution:

Deployed cloud-based WACE MES with IoT sensors, automated data collection, and customer portal for real-time order tracking

+40%

On-time Delivery

99.8%

Data Accuracy

+35%

Customer Satisfaction

+25%

Labor Productivity

Pharmaceutical Company

Life Sciences

Compliance with FDA 21 CFR Part 11, manual batch records causing delays, and lack of complete product genealogy

Solution:

Implemented validated WACE MES with electronic batch records, digital signatures, and complete audit trail functionality

-60%

Batch Release Time

Zero

Compliance Violations

-70%

Documentation Time

-80%

Audit Preparation

Technology Stack

Frontend Technologies

React 18 with TypeScript
Progressive Web App (PWA)
WebSocket for real-time updates
D3.js for data visualization
Material-UI components

Backend Services

Node.js microservices
GraphQL API layer
Apache Kafka streaming
Redis caching
Kubernetes orchestration

Data & Analytics

InfluxDB time-series
PostgreSQL relational
Apache Spark processing
TensorFlow ML models
Elasticsearch indexing

Integration & IoT

OPC UA server/client
MQTT broker
REST/SOAP adapters
Edge computing gateway
Protocol converters

Return on Investment

OEE Improvement

15-25%

Overall Equipment Effectiveness gains within 6 months

Labor Productivity

+20%

Through optimized scheduling and digital work instructions

Inventory Reduction

-30%

Via real-time visibility and JIT production

Quality Cost Savings

$2.5M/year

From reduced scrap, rework, and warranty claims

Cycle Time Reduction

-35%

Through bottleneck identification and optimization

Compliance Efficiency

+60%

Automated audit trails and documentation