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Optimization of gas supply logistics

Comprehensive automated solution of transport, financial and analytical tasks for gas delivery optimization

Client

Vertically integrated oil and gas company

Problem

The main problem

The customer needed a solution that would automate the process of determining optimal logistics routes and reduce manual work, eliminating the process of building routes in Excel tables.

Preconditions

Purpose of development

Automate the process of determining the most cost-effective gas supply route.

Tasks

Key objectives of the project

01.

Reduce transportation costs (direct and indirect)

02.

Increase the speed and accuracy of transportation option analysis

03.

Develop a tool for calculating the most optimal option for distributing gas among consumers

04.

Develop "what if" scenarios to assess potential risks and opportunities

05.

Establish procedures for reviewing and approving selected routes

Technologies

Client

HTML5, CSS3, Angular

Server

.NET Core

Data

PostgresPro, Machine Learning

Solution

As a solution, we proposed to automate the process of transporting raw materials from point A to point B by solving the “traveling salesman problem”, while analyzing all the options that will be economically beneficial for the organization. Users still have the ability to enter the necessary initial data for the calculation, other manual operations are excluded.

The solution improves the speed and quality of supply decisions

Project results

Result of implementation

The solution is applicable in production where there is:

Effects

by 5 times

reduced the gas delivery planning time

by 10%

reduced logistics costs

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