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%.

As part of an effort to drive reliability in its refinery operations, Saras turned to Aspen Mtell® prescriptive maintenance to improve equipment uptime and decrease maintenance costs.

Descargue este caso de estudio para conocer cómo uno de los complejos más grandes y completamente integrados de fundición y refinería de zinc y plomo deseaba mejorar sus operaciones metalúrgicas. Queriendo hacer un mejor uso de los datos que su sistema de gestión de mantenimiento registraba, la compañía realizó un piloto de Aspen Mtell para evaluar la efectividad del mantenimiento basado en monitoreo de condiciones de equipos.

See how Aspen Petroleum Scheduler and Aspen Refinery Multi-Blend Optimizer™ work together to help solve a refinery scheduling problem to realize a $0.10/bbl USD improvement in crude processed.

Learn how PEMEX achieved less than 15% estimating variance over a five-year period with 30 major refining projects.

Learn why PEMEX chose an aspenONE solution to help build a Center of Excellence to drive operational performance.

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.

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.

Pan Pacific Technologies was seeking a rigorous approach to validate the technical and economic feasibility of its proprietary algal conversion concepts. Through innovative use of Aspen Plus and Aspen Process Economic Analyzer, they developed successful technical and economic models with applications in both academia and industry.

A major transportation company responsible for delivering customer goods on time, safely and reliably, was plagued by catastrophic failures of locomotives that had gone undetected by its current reliability techniques. Using Aspen Mtell to examine data from engine lube oil samples, a leading U.S. railway was able to save millions of dollars.