List of Aspen PIMS-AO Customers
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Since 2010, our global team of researchers has been studying Aspen PIMS-AO 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 PIMS-AO for Advanced Planning and Scheduling 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 PIMS-AO for Advanced Planning and Scheduling include: Shell, a United Kingdom based Oil, Gas and Chemicals organisation with 96000 employees and revenues of $284.31 billion, Petronas, a Malaysia based Oil, Gas and Chemicals organisation with 52157 employees and revenues of $78.90 billion, Tupras, a Turkey based Oil, Gas and Chemicals organisation with 6208 employees and revenues of $19.30 billion, Dangote Industries, a Nigeria based Communications organisation with 21000 employees and revenues of $1.30 billion and many others.
Contact us if you need a completed and verified list of companies using Aspen PIMS-AO, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Dangote Industries | Communications | 21000 | $1.3B | Nigeria | AspenTech | Aspen PIMS-AO | Advanced Planning and Scheduling | 2017 | n/a |
In 2017 Dangote Industries selected Aspen PIMS-AO to support economic and operational planning for the large Dangote Oil Refinery. The deployment targeted the Apps Category and was announced by the vendor in 2017 with Aspen PIMS-AO use planned to continue after refinery commissioning when the facility was expected online in 2019.
The implementation concentrated on refinery configuration, feedstock selection and product-slate optimization using Aspen PIMS-AO, applying steady-state planning and optimization workflows typical of refinery planning systems. Functional configuration included refinery flowsheet representation, crude assay and feedstock evaluation, product yield and slate optimization, and scenario-based economic planning to support decision making across planning horizons.
Operational scope centered on the Dangote Oil Refinery planning and operations teams, with the system intended for both pre-commissioning economic studies and ongoing operational planning after startup. Governance and process integration emphasized embedding Aspen PIMS-AO outputs into refinery planning processes for feedstock procurement and product-slate decisions, ensuring continuity of planning from commissioning into steady-state operations.
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Petronas | Oil, Gas and Chemicals | 52157 | $78.9B | Malaysia | AspenTech | Aspen PIMS-AO | Advanced Planning and Scheduling | 2018 | n/a |
In 2018 Petronas deployed Aspen PIMS-AO at the RAPID refinery and petrochemical complex in Pengerang, using Aspen PIMS-AO to optimize feedstock selection, product blends and daily scheduling for refinery planning, with the Apps Category . The selection was stated to support margin maximization for the RAPID facility and the site was expected to be commissioned in 2019.
The implementation focused on refinery planning and short term scheduling capabilities native to Aspen PIMS-AO, including feedstock valuation, blend specification management and daily optimization runs to support product slate decisions. Configuration work centered on modeling crude and intermediate feed cases, defining product quality constraints, and operationalizing scheduled optimization runs to inform planners and schedulers.
Operational integration concentrated on linking the Aspen PIMS-AO planning layer into RAPID operational workflows, feeding case outputs into production scheduling and plant operations decision processes. The deployment targeted refinery planning, process engineering and scheduling functions at the Pengerang complex, aligning PIMS-AO scenario outputs with plant data sources and production planning routines.
Governance and rollout were scoped to facility-level adoption at RAPID, with planners and schedulers in refinery operations designated as primary users and configuration stewardship retained by process engineering teams. The public statement noted the tool was intended to maximize margins and the facility commissioning was expected in 2019.
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Shell | Oil, Gas and Chemicals | 96000 | $284.3B | United Kingdom | AspenTech | Aspen PIMS-AO | Advanced Planning and Scheduling | 2021 | n/a |
In 2021, Shell's Manufacturing Margin Optimization team deployed Aspen PIMS-AO in the cloud to improve refinery and petrochemicals planning and increase margins across its portfolio in the Apps Category. The deployment was executed as a global cloud rollout led by the internal margin optimization team and targeted integrated planning across Shell's refinery and petrochemical sites. Aspen PIMS-AO was configured as the central planning engine for scenario modeling and margin driven scheduling.
Implementation focused on standard Aspen PIMS-AO planning and optimization capabilities including scenario based margin optimization, crude blending and multi feedstock scheduling, and inventory and flowsheet planning to support short term and medium term planning horizons. The global cloud deployment delivered margin uplift, reduced IT overhead and improved planner work life balance according to the AspenTech case study, and governance was centralized under the Manufacturing Margin Optimization team to oversee model configuration, data stewardship and planner workflows. Operational coverage spanned Shell's refinery and petrochemicals planning functions, aligning planning, commercial and operations workflows on a single cloud platform.
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Tupras | Oil, Gas and Chemicals | 6208 | $19.3B | Turkey | AspenTech | Aspen PIMS-AO | Advanced Planning and Scheduling | 2015 | n/a |
In 2015, Tupras implemented Aspen PIMS-AO for Advanced Planning and Scheduling to centralize and standardize refinery planning models across its production planning organization. The implementation positioned Aspen PIMS-AO as the core system for updating planning models used in margin estimation and production scheduling, aligning planning workflows with the simulation unit’s outputs.
The deployment integrated conventional Aspen HYSYS reactor model updates with a subsequent adoption of Aspen Hybrid Models, extending Aspen PIMS-AO capability to generate and consume far broader scenario sets. Teams used Aspen HYSYS reactor models to populate planning inputs in the conventional approach, while Aspen Hybrid Models enabled rapid generation of thousands of alternative operating conditions, moving from a previous practical maximum of about 10 alternatives to roughly 1,000 to 2,000 alternatives in relatively quick time. This combination supported automated scenario analysis, reduced manual spreadsheet workflows, and simplified planning model refresh cycles.
Operational integration spanned the Simulation Unit and the Production Planning Department, with modeled scope including crude and vacuum distillation related processes and projects such as CDU optimization and preheat train fouling analysis. Aspen PIMS-AO was used alongside Aspen HYSYS and Aspen Hybrid Models to capture process nonlinearity in planning models, creating a direct data flow from process simulation into advanced planning and scheduling workflows and enabling tighter simulation to planning alignment.
Governance and rollout were driven by the Simulation Superintendent and the simulation team, with an explicit agreement between simulation and planning functions to accelerate update cadence and reduce the frequency of major model revisions. Adoption was aided by AspenTech support for configuration and result analysis, and reported outcomes included faster planning model updates, broader scenario coverage that yields more realistic margin estimations, fewer model revisions over the year, and improved planning accuracy that supports higher profitability as stated by Tupras.
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Buyer Intent: Companies Evaluating Aspen PIMS-AO
- Team Web Indonesia, a Indonesia based Professional Services organization with 10 Employees
- Chevron Phillips, a United States based Oil, Gas and Chemicals company with 5000 Employees
- Fuelseurope, a Belgium based Non Profit organization with 25 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| Team Web Indonesia | Professional Services | 10 | $1M | Indonesia | 2026-03-12 | |
| Chevron Phillips | Oil, Gas and Chemicals | 5000 | $14.2B | United States | 2025-08-12 | |
| Fuelseurope | Non Profit | 25 | $4M | Belgium | 2025-08-04 | |
| Oil, Gas and Chemicals | 8500 | $1.6B | Oman | 2025-01-23 |