Analysis of the Role of Artificial Intelligence in Improving Resource Allocation in Engineering Projects

Ibrahim Elmagdob; Aboubaker Altiab Aboubaker

المؤلفون

Ibrahim Elmagdob Mechanical and Industrial Engineering Department, Libyan Academy Bani Walid, Bani Walid, Libya
Aboubaker Altiab Aboubaker Department of Mechanical & Industrial Engineering, Libyan Center for Engineering Research and Information Technology, Bani Walid, Libya

الكلمات المفتاحية:

Resource Allocation, Artificial Intelligence (AI), Engineering Projects, Machine Learning (ML), Risk Reduction

الملخص

This paper explores the transformative role of artificial intelligence (AI) in revolutionizing resource allocation within the scope of engineering projects. As engineering efforts increase in complexity and scale, the need for efficient use of resources becomes increasingly important. Traditional methods of resource allocation are often less adaptable to the dynamic nature of projects, leading to delays and inefficiencies. The integration of AI technologies promises to address these challenges by introducing intelligent and adaptive solutions. Through an extensive literature review, case study analyses, and insights from industry experts, this research aims to illustrate AI's potential in improving resource allocation processes. Key objectives include examining the existing literature on resource allocation, assessing the practical use of AI technologies, demonstrating successful case studies, and evaluating the challenges and ethical considerations associated with AI-based decision-making. By examining the complex dynamics of AI and engineering project management, this paper provides valuable insights for practitioners, researchers, and decision makers who want to harness the full potential of AI to enhance resource allocation strategies in various engineering projects.