Tokyo, 103-6119,
Japan
Nissan Chemical Corporation Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Nissan Chemical Corporation and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2737 Nissan Chemical Corporation employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Nissan Chemical Corporation has purchased the following applications: Aspen Hybrid Models for Process Simulation in 2021, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Nissan Chemical Corporation is running and its propensity to invest more and deepen its relationship with AspenTech , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Nissan Chemical Corporation revenues, which have grown to $1.81 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Nissan Chemical Corporation intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| AspenTech | Legacy | Aspen Hybrid Models | Process Simulation | PLM and Engineering | Aspen Technology | 2021 | 2021 |
In 2021, Nissan Chemical Corporation deployed Aspen Hybrid Models embedded in Aspen Plus to improve steam-reformer modeling for its ammonia plant in Japan. The deployment used Aspen Hybrid Models in Apps Category "" to reproduce real plant data and produce a faster, more accurate steam-reformer model.
Aspen Hybrid Models were implemented as first principles driven hybrid models within Aspen Plus process simulation flowsheets, combining physics based reactor modeling with data driven calibration and parameter identification. Configuration emphasized steam-reformer specific model parameterization and dynamic calibration against field measurements to align simulation outputs with plant behavior.
The project was developed working with Aspen Technology as implementation partner, integrating Aspen Hybrid Models outputs into process engineering workflows and operator model libraries. Operational coverage targeted the ammonia plant site in Japan and impacted process engineering, operations, and plant performance modeling functions.
Governance and delivery were partner led, with model validation cycles against on site data and iterative calibration. The implementation reproduced real plant data at twice the execution speed of the conventional model and delivered measurable accuracy and speed improvements, identifying up to approximately 1% potential operating cost reduction through optimized steam input.
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2022 | 2022 |
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