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What is aspenONE Supply Chain Management?

Decision support tools specifically designed for the process industries effectively connect self-optimizing plants to the entire value chain across all operational tiers, which includes execution, tactical planning, and even strategic business planning. By incorporating sophisticated modeling methods, economic analysis, strong optimization strategies, and thorough what-if scenario evaluations, organizations can significantly enhance their strategic business planning efforts. The creation of robust and optimized plans provides a detailed representation of the supply chain, production capabilities, constraints, and financial considerations. Furthermore, improved scheduling optimization fosters better alignment between supply chain management and operational processes, leading to more fluid operations. AspenTech emerges as a leading provider in this field, offering a range of solutions for enterprise asset performance management, asset performance monitoring, and optimization. Their extensive portfolio of asset management software equips organizations to improve their engineering and maintenance processes, which in turn reduces downtime and boosts operational efficiency. This capability plays a crucial role for businesses aiming to stay ahead in a competitive and ever-evolving market landscape, enabling them to adapt and thrive amidst challenges. As industries continue to advance, the importance of such tools will only grow, making them indispensable for future success.

What is Seeq?

Seeq stands out as the pioneering application dedicated to the analysis of process data. It allows users to search their datasets, enrich them with context, model and cleanse the information, identify patterns, set boundaries, and work together in real-time with time series data. Regardless of your operational data system or process historian—be it OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation, or Inductive Automation's Ignition—Seeq can seamlessly connect and begin functioning within minutes. While the current discussions around predictive analytics, machine learning, and data science are prevalent, they often overlook the pressing issues that analytics-focused organizations encounter. Moreover, leveraging the expertise of your existing workforce is essential. Promoting collaboration and capturing knowledge are vital components for enhancing the sharing and effective reuse of analytical efforts. Furthermore, the capability to swiftly disseminate insights to those who need them can significantly drive improvements in outcomes and decision-making processes.

Media

Media

Integrations Supported

APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Timestream
Aspen InfoPlus
Azure Marketplace
Emerson DeltaV
Emerson Ovation
Honeywell Uniformance
Ignition SCADA
PARCview
Proficy Smart Factory MES
Telegraf
Visual KPI
dataPARC Historian

Integrations Supported

APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Timestream
Aspen InfoPlus
Azure Marketplace
Emerson DeltaV
Emerson Ovation
Honeywell Uniformance
Ignition SCADA
PARCview
Proficy Smart Factory MES
Telegraf
Visual KPI
dataPARC Historian

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1000.00/year/user
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

AspenTech

Date Founded

1981

Company Location

United States

Company Website

www.aspentech.com/en/products/msc/aspenone-supply-chain-management

Company Facts

Organization Name

Seeq Corporation

Date Founded

2013

Company Location

United States

Company Website

www.seeq.com

Categories and Features

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

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