Abstract:
Purpose: As supply chain management is a part of the most critical management systems that
affect energy firms' financial outcomes. Saudi Aramco has a major share in the world energy and
industrial marketplaces. During these recent years, oil and natural gas industry has developed
progressively complex, consequently, tight competition, high strict environmental rules, and low-margin profits.

These reasons and others imposed oil and natural gas firms for a more requirement in the strategic preparation and optimization to take decisions which satisfy conflicting multi-objective objectives of maximizing anticipated revenue although concurrently minimizing risk under doubts and restraints in influences such as the source and availability of raw-material, production and distribution costs and projected market-demand.

The study’s purpose is to investigate the role of artificial intelligence and digital transformation in supply chain management and the development of strategic planning of supply chain management
and to optimize models suitable for use within the oil and natural gas industry supply chain under various kinds of doubt. The network of activities shapes the base of the recommended
mathematical and simulation models of Saudi Aramco’s supply chain activities from the recovery
of raw materials to the final product distribution.

Design/Methodology/Approach: This study offers the application of Monte Carlo simulation
created optimization and sensitivity analysis of supply chains to switch modeling uncertainties and stochastic nature of the methods and to extract and visualize connection among the choice variables and the Key Performance Indicators as well as the qualitative research methodology “Document Analysis” was applied for present study.

Finding: The result shows that artificial intelligent and digital Transformation has a positive role
in supply chain management. Both have a highly significant impact in enhancing supply chain
management in the energy sector. Saudi Aramco’s operating costs became 127,661 USD in 2020
while it was 149,843 USD in 2019.

Originality/value: To date, this the first work related to artificial intelligent and digital
transformation in supply chain management in Saudi Arabia and GCC with empirical evidence
from Saudi Aramco.

Keywords: Supply chain Management (SCM), Artificial Intelligence, Digital Transformation,
Saudi Aramco, Green Supply chain Management.