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Reliability,
Availability, and Maintainability Engineering
Today, plant managers responsible for refineries, petrochemical
plants, power plants, and other process facilities are looking
for innovative ways to maintain high plant availability, reduce
operating costs, and optimize capital expenditures. ARINC, a world
leader in reliability and system engineering, helps these managers
achieve their goals by performing reliability, availability, and
maintainability (RAM) engineering evaluations and consulting.
Our RAM services include:
Plant Availability StudiesWe perform detailed RAM assessments
and benchmarking that includes creation of plant/system
availability models, identification of potential RAM
improvement areas, performance of failure modes and
effects analyses, and identification of component failure
root causes. We then identify modifications that eliminate
the root causes of failure, assess the impact of these
modifications on unit availability, and compare results
with industry best-practice metrics.
- Assessment of Alternative ProcessesWe conduct detailed
assessments of alternative process technologies submitted by
prospective vendors, survey current users of similar prospectives
for component problem and failure data, assess the expected
availability of the competing technologies, and provide realistic,
expected RAM metrics for each alternative.
- Human Reliability AssessmentsARINC assesses human interaction
with systems, equipment, and devices to identify potential areas
affecting equipment reliability, plant availability, and personnel
safety. We conduct task analyses, perform event tree analyses,
assess procedures and training, and review root causes of failures
to determine the potential for human error. Our assessments
provide cost-effective recommendations, which can contribute
to improved on-stream factor, reduced maintenance costs, and
increased safety in the workplace.
- Probability Risk AssessmentsARINC uses probability risk
analysis to determine the frequency of occurrence of process
plant flare relief scenarios. Fault tree analysis is used in
combination with event tree analysis to determine the frequency
of occurrence of event combinations that will lead to relieving
scenarios. We focus on the most probable scenarios and then
utilize plant safety criteria to reduce design effort and optimize
capital expenditure.
- Capital Improvement ProjectsARINC prepares availability
models for new or revamped units based on the design package
and interviews with plant process, operations, and maintenance
personnel. We evaluate the benefits of design alternatives that
affect capital investmentsuch as pump sparing, equipment
bypasses, and modifications. We then develop measures, such
as procurement requirements and maintainability guidelines for
critical components, and make recommendations for the final
design that optimizes capital investment.
- Independent Engineering Design AuditsBy performing mechanical
engineering, process, and safety audits of manufacturer and
contractor designs, we verify compliance with owner and industry
standards and uncover potential problems while designs are still
on paper.
- TrainingARINC provides training in RAM techniques and
applications for plant personnel. We tailor customer-specific
courses, including reliability-centered maintenance, root cause
analysis, fault tree and event tree analysis, and availability
assessments techniques. This way our customers learn to build
these techniques into their own processes.
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Quick Facts |
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Increases on-stream factor, reduces unplanned
downtime |
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Identifies design problems while they're still
on paper |
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Targets components that contribute the most to
downtime |
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Did You Know |
| By developing an availability model of an ethylene plant for a major U.S. Gulf Coast chemical company, ARINC increased their annual revenue by $1 million. The model identified areas of improvement to increase the plant's on-stream factor in a cost-effective manner. Recommendations included upgrading cracking furnace tube metallurgy, improving reliability of electric power distribution system, and revising and updating operations and maintenance procedures to reduce the potential for human error. |
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