DPL Enterprise

Additional features

Decision Tree Modeling

Construction and analysis of decision trees to visualize and evaluate decision alternatives under uncertainty. This includes nodes for decisions, chance events, and terminal values.

Influence Diagrams

Graphical representation of decision situations, showing the relationships between decisions, uncertainties, and outcomes.

Sensitivity Analysis

Examining how changes in input parameters (probabilities, values) affect the optimal decision.

Value of Information Analysis

Determining the potential value of obtaining additional information to reduce uncertainty.

Risk Profiles

Visualizing the probability distribution of potential outcomes for different decision alternatives.

Handles decision problems with more than one objective/utility/criteria

Allows for the evaluation of decisions based on multiple, potentially conflicting goals, such as cost, profit, time, or environmental impact.

Models problems with multiple, non-aligned decision-makers

Enables the analysis of situations where different stakeholders have different preferences and objectives, such as in joint ventures or negotiations.

Addresses adversarial problems (Game Theory Integration)

Supports the modeling of competitive or adversarial situations, where the outcome depends on the actions of multiple players with conflicting interests.

Uses decision trees to analyze problems with multiple objectives

Extends the use of decision trees to incorporate and analyze multiple objective functions.

Sequential Decision Modeling ("Allow Event Already Active")

Simplifies modeling of sequential decisions where the outcome of one decision affects subsequent choices

Streamlines the representation of multi-stage decisions, where the information gained at each stage influences the next decision.

"Allow event already active and halt with penalty value" setting prevents illogical paths in the decision tree

Prevents the model from considering impossible or illogical sequences of events, such as drilling the same well twice in oil exploration. The penalty value assigns a very negative outcome to these paths, effectively removing them from consideration.

Specifically mentioned as useful for oil and gas exploration problems

Enables efficient modeling of complex exploration scenarios involving multiple prospects and sequential drilling decisions.

Estimate Probabilities from External Data

Infers probabilities for chance nodes from datasets ("big data")

Automates the process of estimating probabilities for uncertain events based on historical data or other empirical evidence.

Infers probabilistic relationships (influence arcs in influence diagrams) from datasets

Determines the dependencies between uncertain events based on the data, representing these relationships as influence arcs in the diagram.

Combines data mining tools with DPL's modeling interface

Integrates data analysis techniques with DPL's graphical modeling environment for a more comprehensive and practical approach.

Database Links

Connects to corporate data repositories for project data, cost data, and other inputs

Allows for direct connection to databases to retrieve relevant information for the decision model.

Ensures data quality and consistency across projects

Promotes the use of consistent and up-to-date data across multiple analyses, improving the reliability and comparability of results.

DPL User Function Libraries

Allows users to create custom functions (Windows DLLs) to extend DPL's functionality

Enables advanced users to develop custom algorithms or calculations that can be incorporated into DPL models.

Enables interfacing with other programs for specialized calculations

Facilitates integration with other software tools for specific tasks, such as engineering simulations or financial modeling.

Automation API

Enables automation of DPL via an application programming interface

Allows other software applications to control and interact with DPL programmatically.

Allows embedding DPL in custom decision support systems

Enables the integration of DPL's decision analysis capabilities into larger applications or web-based systems with custom user interfaces.

Excel Macros from DPL

Allows running Excel macros when a spreadsheet is recalculated within value models

Enables the use of Excel's powerful spreadsheet functions and macros within DPL models, providing flexibility for complex calculations or data manipulation.

Parallel Endpoint Recording

Distributes a large model's calculations across multiple machines for faster processing

Significantly reduces computation time for complex models with many scenarios or iterations, especially valuable for sensitivity analysis or simulations.

Multiple Expert Aggregation

Provides tools to aggregate opinions and assessments from multiple experts in a mathematically sound way

Uses established methods, such as weighted averages or other aggregation techniques, to combine expert judgments and reduce biases.