Report ID: SQMIG40J2002
Report ID:
SQMIG40J2002 |
Region:
Global |
Published Date: August, 2024
Pages:
157
|
Tables:
88 |
Figures:
71
Drivers
Through asset performance management, businesses can move more quickly towards a digital business model. The companies can govern their asset choices by utilizing complete statistics that incorporate effects of operations, availability of resources, and real-time state reports. Through asset performance management, companies can prioritize assets that need repair to minimize the Total Cost of Ownership (TCO) and reduce hazards of unanticipated interruptions for vital assets.
In addition to facilitating decisions about when and how to maximize production while proactively avoiding asset and output hazards, predictive/prescriptive skills provide asset lifetime reliability. By guiding maintenance schedule and asset optimization, such real-time analytics remove uncertainty about potential production and asset problems down the road. C-level executives can make more confident risk assessments and performance estimates for the board level with this comprehensive view of plant or site performance.
Restraints
The surge in digitization has coincided with an increase in cyberattacks. Data security has therefore grown to be a top priority for businesses. Businesses using cutting-edge digital technology are exposing their data to dangers. The migration of data from the field to the cloud platform has resulted in a marked increase in cybersecurity concerns due to the possibility of server, network, and communication channel attacks by hostile actors.
Seamless integration is frequently expected. The truth is that complicated interfaces are needed due to the intricate data sequencing required by asset performance management, and since every company has a unique data structure, "out of the box" interfaces are nonexistent. Due to this, companies often use load sheets to transfer data between asset performance management and other technologies.
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Report ID: SQMIG40J2002