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What is Mingo?

Address issues as they arise with immediate insights from the production floor. Mingo Smart Factory stands out as the most user-friendly and quickly deployable manufacturing analytics system that scales effortlessly with your needs. This productivity platform offers a plug-and-play solution that integrates smoothly with your existing hardware setup. Mingo acts as a powerful manufacturing productivity and analytics tool that delivers real-time insights into the factory environment, helping to minimize downtime, enhance timely deliveries, and boost profitability for manufacturers. Mingo empowers production facilities with analytics and software tailored for manufacturing productivity, allowing businesses to start with small steps, envision grand goals, and accelerate their progress. Beyond being mere software, Mingo incorporates sensors designed to modernize older machinery, bringing them up to date with current technology. This digital toolkit is essential for reducing downtime, providing real-time visibility, replacing outdated Excel systems, unlocking capacity, and enhancing Overall Equipment Effectiveness (OEE). By utilizing Mingo, companies can decrease waste, improve operational efficiency, and propel their next stage of growth. All of this is achievable through a single, comprehensive platform, making it hard to believe you ever managed your factory without its remarkable capabilities. The ease of use and efficiency of Mingo can transform how you operate, paving the way for future innovations.

What is AIMSCO?

AIMSCO eChecksheets™ (eCS) offer a cutting-edge cloud-based framework for real-time data collection related to production, quality, visual aspects, and processes right at the point of use, facilitating prompt oversight. These eCS can be rapidly created and deployed either within a single facility or across multiple manufacturing sites, with support for numerous languages to enhance accessibility. Featuring an extensive library of industrial eCheckitems™ (eCI), the system is managed by appointed users who aid in data collection initiatives and promote ongoing improvement strategies. In addition to manual data entry, eCI can also be automatically populated through equipment connections (IoT) or enterprise systems that utilize standardized web service protocols. Leveraging the power of Microsoft Azure Cloud, AIMSCO Power Plant™ services allow for the smooth integration of eCS data with Microsoft Power BI® through customized data models, which enables advanced analytics and process visualization. This forward-thinking approach not only improves data reliability but also cultivates a continuous improvement ethos across diverse operational settings. Furthermore, the adaptability of eCS to various industries showcases its potential to enhance efficiency and drive innovation wherever it is implemented.

Media

Media

Integrations Supported

Epicor Kinetic
Fiix
IBM Maximo Application Suite
Infor CloudSuite Industrial Enterprise
Microsoft Azure
Microsoft Dynamics 365
Microsoft Power BI
NetSuite
Oracle Fusion Cloud ERP
Plex Smart Manufacturing Platform
SAP Analytics Cloud
Sage X3
UpKeep

Integrations Supported

Epicor Kinetic
Fiix
IBM Maximo Application Suite
Infor CloudSuite Industrial Enterprise
Microsoft Azure
Microsoft Dynamics 365
Microsoft Power BI
NetSuite
Oracle Fusion Cloud ERP
Plex Smart Manufacturing Platform
SAP Analytics Cloud
Sage X3
UpKeep

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mingo Smart Factory

Date Founded

2015

Company Location

United States

Company Website

www.mingosmartfactory.com

Company Facts

Organization Name

AIMSCO

Date Founded

1997

Company Location

United States

Company Website

www.aimsco.com

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

Manufacturing Execution

Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Categories and Features

Manufacturing Execution

Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Quality Management

Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management

Work Instructions

Branding & Style Sheets
Content Management System
Drag and Drop
Dynamic Tags
Employee Feedback
Guide Approval Workflows
Media Editor
Multi-Brand Publishing
Rich Text Editor
SSO (SAML)
Translations
User Management
Version Control

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