Case Study

Global Supermajor Deploys Aspen PIMS-AO™ Globally

This case study details the methodical approach a global supermajor took, utilizing best-in-class technology, to improve production planning in global refineries and chemical plants with Aspen PIMS-AO technology. Based on side-by-side testing of different technologies, Aspen PIMS-AO led to new insights, increased confidence in results and enhanced conversations with traders.

Case Study

Owens Corning Standardizes on Aspen Plant Scheduler and Receives Rapid Deployment Results

Find out how Owens Corning went live concurrently across 14 manufacturing locations with Aspen Plant Scheduler in less than 12 weeks, and enabled schedulers to make decisions that were impossible to make just a few years earlier.

Case Study

European Refinery Tackles Heat Exchange Issues and Saves Millions in the Process

Learn how a European refinery saved $4M per year by implementing an automated fouling monitoring application utilizing Aspen HYSYS, Aspen EDR and MS Excel.

Case Study

Multivariate Statistical Analysis Finds the Bad Actors in Out-of-Spec Batches

Learn how a large producer of synthetic rubber used Aspen ProMV to identify the cause of ongoing quality issues with its batch products. Download the case study to read how Aspen ProMV uncovered the variables that correlated most with batch quality, resolving production problems faster to limit losses.

Case Study

Multivariate Statistical Analysis Finds Cause of Quench Oil High-Viscosity Issue

One of the world's largest chemical, plastic and refining companies used Aspen ProMV to understand and resolve production problems caused by an ongoing quench oil high-viscosity issue. In this case study, learn how Aspen ProMV enabled the company to highlight the top process variables highly correlated with viscosity issues, and quickly guided process engineers to the underlying issue to limit losses.

Case Study

European Engineering Company Saves $400,000 USD on CAPEX Using Performance Engineering

Discover how PETROLTERV saved significant CAPEX on a revamp project due to greater design accuracy enabled by the integrated aspenONE Engineering suite of products. Due to efficiencies gained from using this integrated software suite, PETROLTERV no longer needed to outsource a large number of engineering projects, such as air cooler design, pressure safety valve sizing and more. By increasing their ability to complete more projects in-house, PETROLTERV has reduced project costs, as well as delivered those projects on time and on budget.

Case Study

European Refinery Tackles Heat Exchange Issues and Saves Millions in the Process

Learn how a European refinery saved $4 MM per year by implementing an automated fouling monitoring application utilizing Aspen HYSYS, Aspen EDR and MS Excel.

Case Study

Fluor Achieves Significant Time Savings in SRU Simulation

Learn how Fluor created a digital twin of their entire sulfur recovery unit, including recycle streams, in a single file using Aspen HYSYS® with Sulsim. Read this case study to find out how AspenTech’s solution for SRU optimization allows users to increase production, reduce OPEX and meet emissions regulations by modeling the complexities of the SRU and the full gas plant.

Case Study

エフピコ:デジタルサプライチェーンを 活用して排出と廃棄物を削減し、 持続可能性目標を達成

エフピコは、日本最大の食品容器メーカーであると同時に、流通サービスプロバイダーとして食品流通関連の店舗(スーパーマーケットなど)に各種製品を納入しています。また、使用済み食品容器やペット ボトルのリサイクルを行う環境先進企業でもあります。

Case Study

GlaxoSmithKline Speeds up Batch Release Time: A Study in Digital Transformation

GlaxoSmithKline (GSK) wanted to review the structure of its batch production record and associated workflows as part of a continuous improvement process. Reducing batch review time usually results in faster batch cycle time, meaning higher throughput at the production facility and faster cash-to-cash cycle time. AspenTech was selected for this process due to integration with other solutions, such as Aspen InfoPlus.21® and GSK’s existing plant automation software (DCS). The pilot project was a resounding success, reducing order preparation time by 95% and record review time by over 50%.

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