Saiba como um grande produtor químico europeu implementou o aspenONE Supply Chain Management, integrado ao sistema SAP ERP, e conseguiu reduzir os inventários em 20%, alcançar 97% nas entregas “on-time” e reduzir o número de transições de campanha em 20%.

Conozca cómo una importante fábrica química europea implementó aspenONE Supply Chain Management y la integró con su sistema ERP de SAP pudiendo así reducir sus inventarios en un 20%, alcanzar un 97% de precisión para entregas a tiempo y reducir el número de transiciones de campaña en un 20%.

Linde Engineering reduced estimating variability from 60% to 15% by adopting ACCE. They reduced their total number of estimating tools from 25 to 6.  They have integrated ACCE with 3D modeling to track project costs through detailed design and construction effectively.

Learn how Maturus Optimi leveraged the aspenONE Engineering Desktop to manage business risk in a small company through affordable, scalable access to software. Maturus Optimi helped clients achieve better capital estimates during the feasibility study and early conceptual designs solved difficult process problems with access to a complete suite of best-in-class modeling tools.

Phillips66 improves estimating productivity by 85% and reduces estimating variability to +/-15% with a five year before and after analysis of estimates vs. completed projects. Download the case study to learn more.

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.

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

In this case study learn how a global oil and gas company was able to detect and predict a variety of pending equipment failures. Download today to uncover how Aspen Mtell enabled the company to correctly identify all reported events – as well as unknown problems.

Alors que nous nous adaptons à la "nouvelle norme" de volatilité extrême, d'incertitude, de complexité et d'ambiguïté, les entreprises du monde entier reconnaissent la nécessité d'exploiter leurs actifs et leurs chaînes de distribution avec une plus grande résilience, flexibilité et agilité afin de pouvoir répondre aux conditions changeantes du marché.

This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.