Case Study

规范性维护软件帮助Saras 提升经营绩效并推动卓越运营

Saras拥有地中海最复杂的炼油厂,每天的炼油产能为30万桶。作为数字化项目的一部分,他们正在评估如何提高资本和资产密集型炼油厂运营的可靠性。他们选择了AspenMtell,基于一个竞争性试点项目选择过程,最初的重点集中在关键炼油设备上,比如大型压缩机和水泵。 Aspen Mtell通过挖掘历史和实时操作以及维护数据来发现资产性能下降和故障发生之前的精确特征,预测未来故障并制定详细的行动以缓解或解决问题。

Press Release

Aspen Technology Announces Financial Results for the Second Quarter of Fiscal 2020

Aspen Technology Announces Financial Results for the Second Quarter of Fiscal 2020

Video

Process Manufacturing with Aspen ProMV™

Aspen ProMV provides insight into all the variability issues that plague process manufacturing, and guidance for process engineers, control engineers, and operators to make appropriate process adjustments. Watch this video to learn how to improve product quality, increase yield, and decrease production time when you unlock the full potential of your manufacturing process with Aspen ProMV.

Video

How Pharmaceutical Firms Can Use Data and AI with Confidence

Pharma and biotech companies face a pivotal next step in addressing the increased complexity of production while balancing mounting cost pressures with the need to ensure product quality, security of supply and regulatory compliance. Learn how Pharmaceutical and Biotech Companies can use Data and AI with confidence in this brief video about our research report.

Video

Aspen Mtell을 이용하여 공정 운전 문제로 인한 고장을 예방하는 방법

설비 이상을 조기 감지하여 처방적 유지보수를 가능하게 하는 Aspen Mtell은 액체 캐리오버와 같은 상황을 방지하도록 실시간으로 공정 운전 조건을 조정할 수 있도록 함으로써 원심압축기의 심각한 고장을 예방합니다. 이 비디오는 운전 담당자들이 어떻게 장치 손상을 야기하는 까다로운 공정 이상을 조기에 정확히 감지하고, 공정 운전 문제로 인한 설비성능 저하와 심각한 고장을 예방할 수 있는지를 보여줍니다.

Video

Preventing Process Breakdowns with Aspen Mtell

See how Aspen Mtell prescriptive maintenance prevents catastrophic failure of a centrifugal gas compressor by enabling real-time process adjustments to prevent liquid carryover. This video demonstrates how operators can detect process irregularities earlier and more accurately with Aspen Mtell, and get prescriptive advice to avoid the process degradation that leads to failures.

Video

Improve Asset Reliability with Aspen Mtell

Over the past 40 years, maintenance best practices have greatly improved, but equipment continues to break down. So how can asset reliability be improved? With Aspen Mtell prescriptive maintenance software, you can predict breakdowns weeks in advance and take action to protect your machines, business investments, the environment, and most importantly, people.

Executive Brief

스마트 엔터프라이즈를 위한 차세대 운영 기술

전세계적으로 시장 상황의 변동성과 불확실성, 복잡성과 모호함이 가중되고 있는 VUCA (Volatile, Uncertain, Complex and Ambiguous) 환경에서 기업들은 경쟁 우위를 확보하기 위해 Industry 4.0과 AI 등 새로운 기술들을 도입하고 있습니다. 이 백서에서 선도적인 기업들이 어떻게 디지털 엔터프라이즈를 뛰어 넘어, 진정한 의미의 미래형 스마트 엔터프라이즈로 거듭나고, 지속 가능한 운영 효율성을 달성할 수 있는지 확인해 보십시오.

Case Study

Aspen ProMV™ Saves Petrochemical Company Over $1 Million USD in Losses to Flare

A large petrochemical company was seeing incremental loss to flare of more than $1M USD annually. Read how Aspen ProMV was able resolve their issue within 2 days, save $1M per year and prevent future losses.

Case Study

Aspen Mtell® Machine Learning Finds Cause of Compressor Failures at LNG Facility

Read how this LNG facility used Aspen Mtell prescriptive maintenance to provide up to 61 days advance notice of catastrophic compressor failures, preventing an economic loss of more than $40M USD per occurrence. Quick to implement and readily scalable, the solution provided key insights into the root cause of the failures.

Page 154 of 328