Technical Integrity / Collaboration / Exceptional Results

Decision Support Tools

Complex problems with many inputs and uncertainties, such as how to reuse a surplus property or how to handle environmental liabilities in property transactions, require a quantitative process for evaluation. Integral is a leader in applying quantitative methods to improve decision making in environmental projects. We help clients make informed business decisions by framing the problem, gathering input variables and uncertainties, developing and running the model, and helping clients select the best alternative based on known technical issues, stakeholder preferences, regulatory constraints, and inherent uncertainties.

Cost Schedule Risk AssessmentCost Schedule Risk Analysis

Cost schedule risk analysis is a method for evaluating potential cost and schedule variances by incorporating risks and uncertainties into an integrated framework. The results can be used for a variety of purposes, including budgeting, prioritizing risk mitigation and management techniques, and modifying contract terms and conditions to improve project planning and execution.

Multi-Criteria Decision AnalysisMulti-Criteria Decision Analysis

Similar to QDA, the multi-criteria decision analysis (MCDA) process incorporates a powerful set of analytical tools that support a structured evaluation of alternatives. The difference is that MCDA goes beyond financial and risk considerations to include other stakeholder objectives and preferences, helping to identify the strategy that best meets overall objectives.

Portfolio ModelingPortfolio Modeling

Integral’s modeling tools have allowed clients to obtain a more complete picture of expected cost over a defined time period, promoting a clear understanding of primary cost/uncertainty drivers, which supports focused long-range planning.

Portfolio PrioritizationPortfolio Prioritization Tools

Our custom-built prioritization tools help evaluate uncertainties and key site parameters such as cost, risk, and the potential to influence outcomes. Using Monte Carlo simulation and probabilities, we have assessed liabilities for portfolios in multibillion-dollar transactions.

Process Simulation and OptimizationProcess Simulation and Optimization

Used to evaluate the interactions of elaborate logistical and environmental systems, process simulation tests feasibility and expected outcomes. This approach also identifies methods for improving overall performance. Optimization techniques assist clients in maximizing revenue, minimizing cost, and time.

Quantitative Decision AnalysisQuantitative Decision Analysis

Quantitative decision analysis (QDA) is a structured approach for evaluating decisions with complex alternatives, uncertain outcomes, and competing objectives. QDA provides a systematic and transparent decision-making process that organizes client intuition and leverages subject matter expertise, revealing insights about cost and other risk drivers to assist decision making and add substantial business value.