Modeling of the oil transportation process through pipelines and its optimization according to the cost criterion

\nThis article considers the problem of optimizing the process of oil transportation through oil pipelines from fields to oil collection and delivery points. The aim of the study is to build an effective logistics system for product transportation, which ensures the sustainable functioning of industrial production. The paper presents a mathematical model of the problem that takes into account the productivity of oil-producing enterprises and the needs of oil refineries, and represents a balanced transport problem. The optimization problem is solved on in the Python programming language, using imported libraries and modified program code. As a result of the software solution, the minimum cost of transportation and the optimal oil supply plan are determined, which allows providing all consumers with this energy resource with minimal costs. The proposed software product has a user-friendly and intuitive interface, which makes it accessible to a wide range of users when solving linear programming problems.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-20
DOI
https://doi.org/10.1051/e3sconf/202459204008/pdf
Primary Topic
Education Methods and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of the oil transportation process through pipelines and its optimization according to the cost criterion

Springer Link (Chiba Institute of Technology)
Education Methods and Technologies
article

Modeling of the oil transportation process through pipelines and its optimization according to the cost criterion

article en

Abstract

\nThis article considers the problem of optimizing the process of oil transportation through oil pipelines from fields to oil collection and delivery points. The aim of the study is to build an effective logistics system for product transportation, which ensures the sustainable functioning of industrial production. The paper presents a mathematical model of the problem that takes into account the productivity of oil-producing enterprises and the needs of oil refineries, and represents a balanced transport problem. The optimization problem is solved on in the Python programming language, using imported libraries and modified program code. As a result of the software solution, the minimum cost of transportation and the optimal oil supply plan are determined, which allows providing all consumers with this energy resource with minimal costs. The proposed software product has a user-friendly and intuitive interface, which makes it accessible to a wide range of users when solving linear programming problems.\n

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Education Methods and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.