Industrial manufacturers face challenges including asset downtime, high service costs, and stringent regulations that reduce revenues and margins. Unscheduled downtime results in lost productivity and revenue, while limited analytics of operational data leads to inefficient maintenance and higher costs. Equipment operation data is sensitive, requiring security measures, and lack of operational insights causes suboptimal contract negotiations and higher agreed costs. Increasing regulations in areas like the environment and operations also need to be addressed.

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Industrial manufacturing operators face revenue and margin
pressures due to asset downtime, servicing costs and
stringent regulations
Industrial asset optimization ► Industry challenges ► Operators
Asset downtime
Unscheduled asset downtime results in overall productivity loss (e.g. oil &
gas, wind energy) and revenues (e.g. healthcare, transportation)
Higher service
costs
Limited analytics of remotely monitored operational data results in non-
coordinated preventive maintenance activities, non-availability of spare
parts in inventory and higher than desirable operational disruption
Data security
and compliance
issues
Equipment operation data is regarded “sensitive” by end-customer/ operators
and requires adequate data security measures
Suboptimal
contract
negotiation
Absence of operational data insights and SLA violations, results in higher
costs getting agreed and paid
Increasing
regulatory
oversight
Operators need to overcome increasing number of environment (e.g. for oil &
gas) and operational (e.g. NERC* for energy equipment) regulations
*North American Electric Reliability Corporation