The process discussed here is in generic term as with different facilities there may be some variations. However, the procedure discussed here is more appropriate for process industries such as chemical and oil and gas plant LC cost analysis for SIS.
Fig. APVI/3.1-1 gives a general overview of the process. As this is an iterative process, a feedback line from evaluation to problem definition has been shown. This is used to get best possible alternative by iteration.
There are the following seven main steps into which the whole system can be divided:
Each of these sub-steps has subdivisions also, which are shown by the ellipse associated with each step. Now, short discussions on each of them will be taken up in brief so that concepts about the same are well understood.
3.1.1. Problem Definition
There are three sub-steps in problem definitions. These are:
• Scope definition: As with any other issues, at the starting point it is necessary that the problem, scope, and boundary limit are well-defined so that there is no ambiguity in targeting the issue. Here the aspects, boundary limits of program phases, and the equipment and activities to be covered in modeling are defined to get a clear definition of the cost elements.
• Evaluation criteria: The criteria based on which evaluation is to be carried out are defined at the beginning as part of problem definition. The criteria normally cover the total cost, system performance, and effectiveness. The system performance characteristics (like availability, maintainability, and SIL of shutdown, etc.) and the effectiveness (like production capacity, product quality, etc.) shall be covered. In many cases regulation, codes, and standards specification play a great role at this point.
• Operational philosophy: This specifies modes and requirements of operation, maintenance strategies (predictive maintenance, proof test requirements, etc.). This is also important in case of problem definitions for LCC analysis. This is also somewhat dependent on an owner's prerogatives.
3.1.3. System Modeling
It is necessary to make a model taking in to consideration various factors such as:
• Maintenance and inspection
These are already shown in
Fig. APVI/3.1-1. These are influencing factors, so suitable care must be taken to model them to get realistic cost element.
• Availability: As already discussed in previous chapters, availability, maintainability, and human factor (depending on applicability) in SIS are very important and have tremendous impact on cost element.
• Maintenance and inspection: Two kinds of maintenance, viz. “corrective maintenance” and “preventive maintenance” have direct impact on cost element. The frequency of maintenance or inspection directly affect “availability” and the “operating cost” in terms of cost toward man-hours spent, spare part consumption, etc. Turnaround time, mean time to repair (MTTR), etc., are measures for maintenance costs for modeling.
• Logistics: Logistic support in the form of the following may be considered for modeling purposes:
• Training and training support
• Packing, handling, storage, and transportation
• Technical data and information systems
• Risk: The potential risk related to a system is not only useful information, but it also needs to be considered in modeling. In this connection, IEC-60300-3-3 may be referenced (it recommends considering liability costs from risk analysis to be considered LCC analysis). It is also recommends to include warranty costs in the CBS of the LCC analysis
[1].
• Production regularity is a term used to describe how a system is capable of meeting demand for deliveries or performance. It depends on system availability, production availability, and deliverability.
• Environmental: After the Convention on Climate Change, in the Kyoto Meeting in 1997, globally there is great concern over impact of production on the surrounding environment. Now almost all countries have their own laws or international laws and standards which need to be met by all concerned. Therefore, plant owners need to spend money toward pollution prevention, viz. SO2, CO2, and particulate emission from power plants; owners need to take necessary measures to limit such emissions within limits. Naturally, these will have impact on LCC.
• In the actual operation, the effect of human error cannot be overestimated. All such effects may have tremendous impact on hazardous situations, etc. So the contribution of the human error is not negligible in many cases, especially in cases where there are manual interventions frequently. There are broadly three categories of human error, viz.:
Similarly, there many techniques to face and combat human error such as technique for human error rate prediction (THERP), human error assessment and reduction (HEART), etc. already discussed in previous chapters.
3.1.5. Cost Profile Development
One factor of LCC analysis is an affordability analysis with due considerations for long-term financial planning. Therefore, it is necessary to draw a cost profile over entire life. It is obviously noticed that the cost profile of each design case should be compared on a common basis or reference point when making financial judgments
[1]. There are two aspects here:
• Model run: Cost profile is developed by running cost models developed in an LCC analysis with input data. Computer tools can be used to run a model or it could be manual calculations in a spreadsheet.
• Cost treatment: In this, various aspects like effect of inflation, interest rates, exchange rates and taxation, etc. are considered for financial judgment. Many times, the cost profiles are made on the basis of “constant prices.” This is adopted for those cases where it is difficult to accurately predict inflation and exchange rate, etc. In such cases, it is necessary to compare the alternatives on a common baseline.
3.1.6. Evaluation
It is the aim of this analysis is to find out the most desirable alternative configuration. In order to do the same, one needs to check if the baseline system meets the criteria defined in the problem definition. If not, the baseline system should be modified as an alternative system, and the LCC of the alternative system should be evaluated. There are several issues and checkpoints; major issues are listed as follows:
• Sensitivity analysis: The main task of sensitivity analysis is to find the impact of changes in input parameters on the result. This is done by making variations in the input parameters over a range to see if the impact on cost can help highlight the major factors affecting costs. There are several methods available for sensitivity analysis. Mainly “deterministic” and “stochastic” approach are used.
• Uncertainty analysis: Uncertainty analysis is done to consider possible ranges of the estimate and their effect on decisions. Three categories of uncertainties are:
This will give confidence to decision-makers to make financial decisions.
• Cost driver: Identification of cost drivers in LCC analysis is one of the major issues. Cost drivers have major impact on the total LCC. Once a cost driver is identified, it is important to establish cause-and-effect relationships so that system design may be modified to effectively reduce the causes of cost drivers, which in effect will reduce the total LCC.