INTERNET OF THINGS AND PREDICTIVE PLANNING: SYNERGY OF TECHNOLOGIES FOR SMART SUPPLY CHAINS IN THE OIL AND GAS INDUSTRY

This paper explores how sensor-based data from IoT devices, integrated with machine learning and AI-driven planning platforms, enables companies—particularly in capital-intensive sectors such as oil and gas—to transition from reactive to proactive supply chain management.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.15565419
Primary Topic
Oil and Gas Production Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

INTERNET OF THINGS AND PREDICTIVE PLANNING: SYNERGY OF TECHNOLOGIES FOR SMART SUPPLY CHAINS IN THE OIL AND GAS INDUSTRY

Zenodo (CERN European Organization for Nuclear Research)
Oil and Gas Production Techniques
article

INTERNET OF THINGS AND PREDICTIVE PLANNING: SYNERGY OF TECHNOLOGIES FOR SMART SUPPLY CHAINS IN THE OIL AND GAS INDUSTRY

article en

Abstract

This paper explores how sensor-based data from IoT devices, integrated with machine learning and AI-driven planning platforms, enables companies—particularly in capital-intensive sectors such as oil and gas—to transition from reactive to proactive supply chain management.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Oil and Gas Production Techniques
DOIOpen Access PDFOpenAlex
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INTERNET OF THINGS AND PREDICTIVE PLANNING: SYNERGY OF TECHNOLOGIES FOR SMART SUPPLY CHAINS IN THE OIL AND GAS INDUSTRY · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS