In today's industrial landscape, the ability to leverage data for safety and reliable plant maintenance is critical. But with so much industrial data from disparate sources, it’s difficult to gain the insights you need to achieve your operational goals.

The design and debottleneck of plants often require multiple iterations of engineering and capital expenditure (CAPEX) analysis. No matter how well an asset is designed, once operational, new variables come into play allowing for further optimization opportunities to arise. The handoffs between design, construction and operations bring new wrinkles to the entire system. What may seem like an inconsequential decision in one area may have a significant impact in another.

Early returns from an ARC Advisory Group survey indicate that optimizing plant performance and eliminating process upsets are considered a critical component of asset performance management (APM) systems. Many leading companies are successfully using APM solutions—including machine learning or AI—for rotating equipment and static assets, with 27% of those also applying AI to optimize the process or production.

Today´s executives are faced with the complex challenge of maximizing profitability while meeting sustainability and corporate social responsibility (CSR) objectives. Using APM 4.0 to identify efficiencies across the organization can drive operational excellence, which in turn can lead to significant advancement of sustainability objectives.

ARC found that 17 percent of survey respondents cannot scale APM across different assets at the same plant, regardless of resources. And 53 percent of respondents also indicated that their APM deployment was scalable, but not without tremendous effort and resources. Learn more about the ARC Scalability Survey results in this report.

Unexpected disturbances and shutdowns severely impact the bottom line of any manufacturing facility. The AspenTech APM 4.0 portfolio uses agents that can be quickly and easily replicated across all plant assets to assure production and avoid unnecessary maintenance. Watch the video to learn how APM 4.0 delivers an all-inclusive approach to efficiency, productivity, and safety, to support operational excellence and manufacturers’ bottom line.

예기치 못한 고장과 가동중단은 제조공장의 수익에 심각한 영향을 초래합니다. AspenTech APM 4.0 포트폴리오는 공정 자산 전반에 걸쳐 빠르고 손쉽게 복제되는 에이전트들을 사용하여 생산목표를 달성하도록 지원하고, 불필요한 유지보수 작업이 이루어지지 않도록 합니다. 이 비디오는 APM 4.0이 어떻게 효율, 생산성 및 안전을 확보하는 포괄적인 방법을 제공하여 오퍼레이셔널 엑셀런스를 달성하고 수익을 담보할 수 있도록 하는지에 대해 설명합니다. https://www.aspentech.com/en/solutions/asset-performance-management에서 자세한 내용을 확인해 보십시오.

You and your organization know that contributions from maintenance are key to improving operations and helping your company stay competitive. However, many teams are not yet taking advantage of the latest advances in asset performance management, or APM, to help make the right decisions to drive an effective maintenance strategy.

Las empresas líderes en uso intensivo de activos están utilizando el mantenimiento prescriptivo, impulsado por inteligencia artificial y machine learning, para desbloquear el valor y la productividad que se encuentran sin utilizar en los activos. Al emplear una solución de mantenimiento prescriptivo escalable y fácil de implementar, las empresas pueden mejorar la precisión de la detección de fallas, aumentar el período de notificación anticipada de los paros de planta y reducir los costos de mantenimiento.

Neste estudo de caso, saiba como a MOL adicionou recentemente o software Aspen Mtell® da suíte de software AspenONE® Asset Performance Management (APM) ao seu portfólio de soluções AspenTech para aumentar a eficiência a eficiência operacional e aumentar a sustentabilidade. Isso contribuiu significativamente para as operadoras na aceleração dos planos de digitalização. A Aspen Mtell tornou-se parte integrante do plano estratégico de digitalização da MOL, que inclui iniciativas para extrair maior valor de seus ativos e aumentar a disponibilidade geral da planta para mais de 96%.