Given growing competition from world market, an ever-present drive to reduce cost and increase profits, businesses are being forced to seek more effective methods in managing their assets. PT WIDE & PIN places great importance in ensuring that our clients are fully aware of the true quantitative benefits that come from the adoption of new technology.
To achieve this DNV-JARDINE use a Risk Management approach. It incorporates independent technical specialist’s experience and advanced reliability techniques and software tools. This allows us to rapidly identify areas of potential improvement in a client’s business and to investigate and demonstrate the merits of alternative business solutions. Our clients therefore have the opportunity to:

• Optimize their business strategy and mitigate potential risks in advance of any significant investment.
• Qualification of new technology.

The nature of RAM analysis will vary according to the purpose of study and the scope of work. However, in most cases, the RAM analysis will predict and identify ways to improve system availability. Solutions can be investigated on the basis of quantitative benefits. Improved system availability can increase the overall business performance if the additional cost associated with the improvements is lower than the increased revenues. Therefore, the RAM analysis can be used to optimize a production system from a cost/benefit point of view.

Production Availability and its influence on Cash-Flow
• Component failures reduce revenues and increase operating expenditures (OPEX). The RAM analysis is a tool to assess the financial consequences of component failures, and also to identify ways to improve profit (increased revenues and/or reduced costs). System availability performance has an influence on all major cash-flow elements:
  • Optimization of Revenue stream
  • Operations and maintenance expenditures (OPEX)
  • Capital expenditures (CAPEX)

Work Process
• The main elements of a RAM analysis are:
  • Establish what is critical to the assets (baseline model)
  • Benchmark to historical performance
  • Optimize through evaluation of alternative design, maintenance, logistics, operations and sales strategies
  • Develop new Key Performance Indicators (KPI) for continuous improvement

Software
• TARO
  TARO simulator was developed specifically for the modeling of refinery in petrochemical plants. The production (gasoline and derivatives) efficiency is a complex interaction between reliability, blending and yield rules, flow routing, and intermediate storage options.
  MAROS
  MAROS predicts system effectiveness in terms of reliability, availability, productivity, and also profitability. MAROS is a well tried and tested package, first used in 1984, and subject to continuous improvement and development.