List of Aspen ProMV Customers
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Since 2010, our global team of researchers has been studying Aspen ProMV customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Aspen ProMV for Asset Performance Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Aspen ProMV for Asset Performance Management include: Mitsubishi Chemicals, a Japan based Oil, Gas and Chemicals organisation with 69784 employees and revenues of $26.83 billion, Mitsubishi Chemical Japan, a Japan based Oil, Gas and Chemicals organisation with 13249 employees and revenues of $25.66 billion, China National Bluestar, a China based OIl, Gas and Chemicals organisation with 10000 employees and revenues of $7.00 billion, FMC Corporation, a United States based Manufacturing organisation with 6400 employees and revenues of $5.05 billion and many others.
Contact us if you need a completed and verified list of companies using Aspen ProMV, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Aspen ProMV customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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China National Bluestar | OIl, Gas and Chemicals | 10000 | $7.0B | China | AspenTech | Aspen ProMV | Asset Performance Management | 2017 | n/a |
In 2017, China National Bluestar implemented Aspen ProMV as part of an asset performance management initiative. The deployment paired Aspen ProMV with Aspen Mtell and positioned Aspen ProMV within an Asset Performance Management workflow to support process monitoring and predictive maintenance across more than ten manufacturing sites.
The implementation emphasized multivariate statistical monitoring and model driven event detection, using Aspen ProMV for process variable pattern modelling, alarm management, and root cause analysis, while Aspen Mtell provided machine level predictive signals. Configuration work included building process models for critical units, establishing alarm logic and visualization dashboards, and operationalizing procedures for model retraining and validation to preserve detection fidelity.
Operational coverage targeted reliability and operations functions across chemical manufacturing sites in China, with outputs ingested into shift operations and maintenance planning. Governance centered on staged rollouts with centralized model governance and local operator adoption, and the stated business aim was to accelerate digital transformation through Asset Performance Management.
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FMC Corporation | Manufacturing | 6400 | $5.0B | United States | AspenTech | Aspen ProMV | Asset Performance Management | 2017 | n/a |
In 2017, FMC Corporation deployed Aspen ProMV in the category to analyze process data across chemical production lines and support operational decision making. The implementation targeted plant operations where continuous distillation trains and batch herbicide processes were producing off-spec output, aligning analytics with day-to-day process control and quality workflows.
Aspen ProMV was configured to deliver multivariate statistical analysis, model-driven monitoring, and root cause detection capabilities that correlate process variables to product quality. The deployment emphasized analytics that linked temperature profiles, tray-level control behavior, batch size, and heat input rate to identify actionable corrective actions in sequential unit operations.
Operational coverage included at least one plant with a train of twelve continuous distillation columns and a separate batch herbicide process, impacting plant operations, process engineering, and quality control functions. The Aspen ProMV analysis pinpointed a specific tray control deficiency in a distillation column and isolated batch parameter patterns responsible for out-of-spec herbicide production.
Governance focused on converting analytic findings into control changes and procedural updates, specifically adding a temperature controller on the identified tray and revising standard operating procedures to adjust batch size and heat input rate. Documented outcomes from the Aspen ProMV implementation include moving monomer recovery from 75 percent to 91 percent after the controller change, eliminating approximately $100,000 per week in wasted monomer during the incident, and rescuing close to 50 percent of previously out-of-spec batch herbicide production, representing millions of dollars per year.
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Mitsubishi Chemical Japan | Oil, Gas and Chemicals | 13249 | $25.7B | Japan | AspenTech | Aspen ProMV | Asset Performance Management | 2017 | n/a |
In 2017 Mitsubishi Chemical Group Corporation implemented Aspen ProMV to address polymer quality detection issues in its manufacturing operations in Japan. The deployment targeted the Apps Category , focusing on predictive monitoring to detect and avoid product quality deviations before they impacted production.
The Aspen ProMV implementation leveraged Aspen Hybrid Models integrated with Aspen Plus to create a robust, performant predictive model for polymer quality. Functional capabilities implemented included hybrid model-based quality prediction, model-driven alarms and alerts, and support for preventive action workflows that reduced reliance on manual sampling.
Integration work explicitly tied Aspen ProMV to Aspen Plus to enable real-time hybrid model scoring against process and simulation outputs. Operational coverage concentrated on polymer manufacturing processes and the quality and operations functions, with model results surfaced to operators to accelerate time to value.
Governance emphasized operationalizing model outputs into preventive actions, changing sampling practices to reduce on-site sampling work significantly, and embedding model-based decision triggers into operator workflows. Outcomes called out in the implementation included detecting and avoiding potential quality issues, reducing on-site sampling, and accelerating operator time to value, all achieved through the Aspen ProMV and Aspen Plus hybrid model approach.
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Oil, Gas and Chemicals | 69784 | $26.8B | Japan | AspenTech | Aspen ProMV | Asset Performance Management | 2017 | n/a |
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Buyer Intent: Companies Evaluating Aspen ProMV
- Moscow State University, a Russia based Education organization with 650 Employees
- Portwest, a Ireland based Manufacturing company with 5100 Employees
- Sibur Holding, a Russia based Oil, Gas and Chemicals organization with 22000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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