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What is WIPtrac?

WIPtrac employs a structured series of procedures for overseeing lot-based manufacturing utilizing both traveler and router tracking methods, as demonstrated in the forthcoming example. By scanning the barcode for Lot 385NEX, users can effortlessly view the As Built Lot History along with the anticipated steps listed below the green line. When the operator clicks on the relevant operation number, WIPtrac provides detailed manufacturing specifications and instructions for the next task they are about to undertake. This interaction grants the operator instant access to a plethora of resources, which may include online documentation, technical drawings, multimedia files, and other digital assets that are accessible via a web browser. Additionally, this repository may feature audio and video content that delivers vital technical information regarding the component or the tasks to be accomplished. The graphic manufacturing instructions that follow exemplify what users can typically expect to encounter. Each element of WIPtrac is fully customizable through its menu interface, empowering users to adjust the system to meet their unique requirements and preferences. This level of adaptability not only enhances user experience but also enables operators to effectively configure the system for a variety of manufacturing contexts. Ultimately, the versatility of WIPtrac positions it as an invaluable tool in the realm of lot-based manufacturing management.

What is Process XE?

Sarjen’s Manufacturing Process Automation solution enables true digital transformation by embedding advanced AI capabilities directly into production environments. It goes far beyond basic automation or electronic batch records. At its core, AI continuously captures and interprets real-time data from machines, sensors, operators, and quality systems, converting operational signals into intelligent insights that drive measurable performance improvement.AI-powered analytics monitor critical process parameters in real time, instantly identifying deviations, anomalies, and compliance risks. Instead of reacting to issues after they occur, predictive algorithms forecast equipment failures, process drift, and quality deviations before they impact production. This proactive intelligence minimizes downtime, reduces batch rejections, and protects both timelines and margins. Machine learning models refine themselves with every cycle, enabling the system to become smarter and more accurate over time.The solution strengthens quality assurance through intelligent pattern recognition, detecting subtle inconsistencies that manual oversight may overlook. AI-driven workflow optimization improves resource allocation, balances production loads, and enhances yield performance. Automated decision support guides operators with contextual recommendations, reducing dependency on manual judgment while ensuring adherence to regulatory standards.By integrating AI across manufacturing execution, documentation, and compliance processes, organizations gain end-to-end visibility and control. Data flows seamlessly across systems, enabling faster batch release, improved traceability, and stronger audit readiness. This AI-led transformation empowers pharmaceutical and life sciences manufacturers to move from reactive operations to intelligent, self-optimizing production environments.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$300
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

Santa Barbara Analysis

Date Founded

1989

Company Location

United States

Company Website

www.sbainc.com/WIPtrac/index.html

Company Facts

Organization Name

Sarjen Systems Pvt Ltd

Date Founded

1998

Company Location

India

Company Website

www.sarjen.com

Categories and Features

Manufacturing Execution

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

Categories and Features

Manufacturing Execution

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

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