Sensitivity Analysis and Life-Cycle Cost Analysis

In order to establish confidence in model validity, it is necessary to determine that reasonable changes in model parameters or contract operating conditions do not lead to unreasonable changes in model performance. 

Measuring the performance of any "environmental enforcement program and emergency management prevention" is difficult. One approach to testing this aspect of model behavior is by the use of sensitivity analysis. 

Sensitivity analysis views the model as an input-output process. Many random effects occur in environmental systems, For example, the effect of business contracts on the growth rates of the people and the species on top of the food chain inside the boundary of a specific natural resource management in relation with the business needs to be evaluated using a technique to vary an input to the model, by using incremental changes, and observe the incremental changes in an output variable. The ratio of these changes is referred to as the "sensitivity of the output to the specified input" 

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The acceptance and widespread use of Life-Cycle Cost Analysis (LCCA) for asset management projects is on the increase and will continue to expand in the years ahead. More agencies are turning to life-cycle cost analysis because it identifies the most cost-effective long term alternative investment options.

Pan-Iranist Progressive warns about the consequence of not setting and measuring early governmental/organizational LCCA goals and recommends:

- Government disclosure of environmental liabilities*

- Creating enthusiasm, excitement and ownership among the political parties and define a roadmap to meet the strategic LCCA needs and expectations of all Iranian political party advocates and stakeholders

- Future Wise Environmental Assessment with implications for provincial, municipal, industrial, commercial and institutional sectors within the:

Renewable Energy Projects
Toxic Reduction Acts
Energy Benchmarking
Environmental Normalization
Industry-Wide Benchmarking Programs 
Smoke Management in Diverse Environments
Plug-in hybrid Technologies
Extended-range Electric Vehicles 
Licenses and Approvals (Water, Soil, Air and Noise)
Environmental Spills Management

* The usage of unstructured data analytics and the AI produced balanced scorecard can provide for environmental breakthrough thinking, planning and action.