Abduallah Gamal

Papers

Total Citations

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About

Dr. Abdullah Gamal is an emerging scholar in the fields of industrial engineering, multi-criteria decision-making (MCDM), and supply chain sustainability. His research focuses on developing hybrid decision-support frameworks that integrate advanced MCDM methods to solve complex industrial problems. Dr. Gamal’s most cited work, “A Hybrid MCDM Approach for Industrial Robots Selection for the Automotive Industry” (2023, 13 citations), presents a novel methodology for evaluating and selecting industrial robots—a critical need for modern manufacturing, especially in small and medium-sized enterprises. This contribution provides a systematic, quantitative tool for optimizing automation decisions, directly impacting production efficiency and competitiveness. He has also explored the intersection of disruptive technologies and sustainable supply chains, as seen in his work on α-discounting AHP–VIKOR (2023, 4 citations), though this paper has been retracted. Despite this, Dr. Gamal’s core research demonstrates a commitment to practical, data-driven solutions for industry 4.0 challenges. His work is particularly valuable for students and researchers interested in applied operations research, manufacturing technology selection, and sustainable industrial practices, offering a clear example of how theoretical MCDM models can be translated into actionable industrial tools.