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.
Multivariate Statistical Analysis Finds the Bad Actors in Light Component Losses
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.
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.
Shell Adopts Global Supply Chain Process to Increase Profitability and Drive an “Enterprise First” Strategy
After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to standardize processes and technology across the organization. The key to driving this strategy — and meeting its objectives — is an integrated aspenONE® Supply Chain Management solution that helps Shell optimize refinery production, reduce costs and increase margin.
혁신을 위한 패스트 트랙: 신제품 개발 시간 및 비용 절감
Qenos 사가 Aspen Plus®의 회분식 모델링을 어떻게 자사의 공정에 적용하여 변화하는 고객의 요구에 맞춰 플랜트 검증 단계를 최소화하고, 고객 맞춤형 제품을 신속하게 시장에 공급할 수 있었는지 실제 사례를 소개합니다.
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