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features
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Description

In the rapidly evolving landscape of global business, depending solely on a few key performance indicators (KPIs) to drive significant decisions is insufficient. To navigate the ever-changing demands of customers and adhere to high-quality standards, it is essential to adopt a contemporary Manufacturing Execution System (MES) designed for Industry 4.0. The Industrial Internet of Things (IIoT) is transforming the manufacturing sector by enabling the use of smart, interconnected devices, which creates even greater potential for optimizing operations through enhanced data collection and improved process integration. Atachi Systems' NGIMES stands out as the leading MES tailored for the needs of today's manufacturing landscape. By harnessing the capabilities of the SAP HANA cloud platform, NGIMES provides a streamlined approach to transitioning to paperless operations, enabling efficient data collection, progress tracking, and document management while minimizing risks. Furthermore, its real-time quality monitoring and integrated statistical process control (SPC) features contribute significantly to defect reduction, ultimately leading to improved production yields. This innovative system not only meets current industry demands but also positions businesses to thrive in future market challenges.

Description

SPC stands for “Statistical Process Control,” a method that has gained significant traction since the mid-1980s, particularly within the American automotive sector. In French, this technique is referred to as “Contrôle Statistique des Processus” (SPM). The primary aim of SPC is to minimize scrap and rework rates through effective quality control of ongoing production, coupled with sampling methods, thereby anticipating issues related to non-quality. Utilizing SPC software allows for the real-time monitoring of processes and sends alerts if control limits are breached. © Infodream. Among the notifications generated are warnings about overruns of control limits, which are more stringent than tolerance limits, as well as indications of trends that suggest process degradation. This proactive approach enables manufacturers to address potential quality issues before producing defective parts. Importantly, this technique is versatile and can be applied to various manufacturing processes, whether producing in small batches or large volumes, and regardless of whether 100% inspection or sampling is employed. Ultimately, SPC contributes to maintaining high-quality standards in production.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

ATACHI Software Systems

Founded

2007

Country

United States

Website

atachisystems.com/Ngimes/

Vendor Details

Company Name

INFODREAM

Country

France

Website

www.infodreamgroup.fr/tag/spc-vision/

Product Features

Manufacturing Execution

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

Product Features

SPC

Corrective Actions (CAPA)
Data Entry
Data Linking
Data Management
Excel Loader
Job Management
OPC Data Collection
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection
Regulatory Compliance

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