Creating the system for choosing the solution from a series of alternatives

A major vertically-integrated company

Deadlines

2021 – today

Team

~20 persons

Technologies

  • Java: Spring
  • Vert.x
  • Python: Jango
  • Pandas
  • SkiPy
  • Apache NiFi
  • Dgraph
  • Postgres
  • JS React

Problem:

  • The managers need to choose an optimal solution from a series of alternatives when planning major projects*. The optimal option is the one leading to a stable growth of the Company’s profits. To assess the options based on many inter-connected parameters and uncertainties, a range of values for a series of parameters is used. Without automation the number of options for review is limited, which deteriorates the accuracy and quality of decision-making

Goal

  • Create the AI-based platform for decision-making — a system allowing for quick, cheap and reasonable assessment of a broad variety of strategic alternatives at the very early stage of a major project

Results

  • The decision-making support system was developed; it includes developing the math simulation scenarios, forming the analysis nodes for the dependency tree, building the calculation logic of low-code Python nodes, Y-trees, building a decision-making map using the uncertainties and cartographic data
  • The system’s modules include:
    • Multi-task operation. Defining the options for the efficient plan of the Company operation through different scenarios
    • Ontology-based graph database. Automatically and by way of using AI helps to form the calculation graphs from uncertainty nodes, formulae and target functions, decreasing the time for engineering by 70%
    • Calculation module. A set of adjusted math algorithms and a tool for defining the users’ algorithms used in the dependency tree nodes.
    • Visualization. Reflecting the results of Trade-Off calculations, Tornado diagram, benchmarking in the format of graphs, matrices and decision-making maps
  • by 30%

    The time for decision-making decreased. Quality of forecasts improved due to creating digital twins of projects
  • by 60%

    Time for preparation and approval of IP** program and optimal development concept decreased
  • 5

    Customer’s subsidiaries are using the system functionality
  • by 30%

    The efficiency of the asset development strategy selected at the early stage improved

* Major project is a targeted program, which is socially meaningful, requires high level of effort and long time for implementation

** IP means industrial pilots

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