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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Many manufacturing teams rely heavily on spreadsheets, disconnected systems, and informal knowledge sharing. While traditional MES solutions claim to address these issues, they often require lengthy implementation periods of 12 to 18 months and still struggle with high-mix, low-volume production scenarios. In contrast, Mast MES offers a unique approach. Designed with AI capabilities from the outset, Mast integrates seamlessly with your current plant systems in just a few weeks and begins providing value immediately. Our AI-driven agent does more than just display data; it actively monitors production metrics, identifies potential bottlenecks before they become critical, and autonomously suggests scheduling adjustments — functioning like a tireless co-pilot for your plant manager. Key features include real-time Overall Equipment Effectiveness (OEE) tracking, AI-enhanced scheduling, digital twin simulations, continuous improvement resources, and a cohesive data layer that breaks down operational silos. Specifically tailored for environments that frequently undergo changeovers, such as food and beverage, consumer packaged goods, discrete manufacturing, and multi-site operations, Mast's phased implementation process lasts only eight weeks, allowing you to realize a return on investment even before the majority of legacy vendors complete their initial assessments. In this way, we position your manufacturing process toward continuous improvement and efficiency from the very start.

Description

For over three decades, the modular process control system known as Plant iT has been effectively utilized in production facilities within the process industry, focusing on automation, information, and control technology. It encompasses a wide range of capabilities, including the acquisition of operating data, process control technologies, liquid handling, and batch systems, alongside comprehensive functions for managing production remotely (MES) and integrating with ERP, LIMS, and maintenance systems, all of which can be continuously monitored and controlled through Plant iT. Each fundamental Plant iT system is equipped with a centralized engineering environment featuring a unified database and an integrated interface for parameterization. The various modules can be combined with the base systems as needed, allowing for flexible implementation and scalability tailored to specific industry requirements and production methods. Developed by ProLeiT GmbH, Plant iT is characterized as an object-oriented and PLC-based process control system that integrates MES functionalities, making it a robust solution for modern manufacturing challenges. Such versatility ensures that users can adapt their systems as technological advancements occur and as their operational needs evolve.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$2200 one-time payment
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mast MES

Country

Canada

Website

mastmes.com

Vendor Details

Company Name

ProLeiT

Founded

1986

Country

Germany

Website

www.proleit.com/plant-it/

Product Features

Manufacturing Execution

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

Product Features

Manufacturing Execution

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

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