
Plant Availability Modelling
with RAMP
Do you know what are the most critical items of equipment
on your plant? Do you know how often they fail and what the
consequences on production are when they do? The answers to
these questions can have a dramatic effect on your operations
and maintenance strategies and also on bottom line performance.
RAMP is a powerful availability modelling package developed
specifically for the analysis of process systems. RAMP models
the effects of scheduled and unscheduled downtime on process
throughput, establishing relationships between equipment reliability,
configuration, maintenance strategy, spares and resources.
RAMP is a simulation programme capable of modelling simple
or complex process systems of all types.
RAMP models are used to support critical decision making
such as redundant capacity, buffer storage, reduction of through-life
costs, equipment procurement specification, criticality and
cost-benefit analysis.
RAMP has a user friendly Windows interface. Block diagrams
representing the process can be easily built up on the screen,
and clicking on any item will open a screen form for the entry
of data defining reliability, capacity, repair time, spares
required, etc.
RAMP built-in features
include:
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Time varying delivery and demand / nomination profiles.
Finite spares and maintenance resources.
Preventive maintenance schedules.
Logistic delays.
Startup delays for standby items.
Equipment wear out (Weibull failure distribution).
Bulk and buffer stores.
Common mode failures.
Active and standby redundancy.
Queuing for repairs.
Simulation lifetime. |
RAMP measures availability in terms of volume of throughput
capacity over time. Thus unavailability and unreliability
are expressed in the units which really matter to the business
- production loss.
Benefits
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Identifying critical areas and "bottlenecks"
where redesign may increase throughput and profits.
Calculating the optimal reserve or buffer stock holding.
Assessing demand/throughput profiles and allowing design
comparison studies to find the most profitable option.
Proving the potential of the design to meet availability
and reliability requirements, especially at the tender
stage.
Quantifying the true benefits of redundancy, thereby avoiding
unnecessary capital expenditure.
Assessing the impact on availability of increases in production
demand, alterations to maintenance strategies, etc.
Demonstrating the effects of changes in spares holdings,
lead times, maintenance resources, etc. |
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User friendly interactive
building of model on screen |
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Entry of equipment reliability,
repair and maintenance data through dialogue boxes |
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Flexible control of the simulation
to provide the required information |
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Comprehensive facilities for
graphical presentation of results |
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Clear on-screen identification
of critical items |
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