Hassan Soltan

Papers

Total Citations

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About

Hassan Soltan is a researcher specializing in multi-criteria decision-making (MCDM) and industrial systems optimization, with a particular focus on customer-oriented methodologies. His most cited work, "FAQT-2: A customer-oriented method for MCDM with statistical verification applied to industrial robot selection" (2023), introduces an innovative framework that integrates statistical verification into MCDM processes, enhancing the reliability and applicability of decision-making in complex industrial contexts. This paper, with 18 citations, demonstrates his ability to bridge theoretical advancements with practical engineering challenges, particularly in the selection of industrial robots—a critical area for manufacturing efficiency. Soltan’s contributions emphasize the importance of aligning technical solutions with user-centric criteria, offering a robust, verifiable approach that has been noted for its potential to improve decision accuracy in automation and production systems. His work stands out for its rigorous statistical grounding and clear application to real-world industrial problems, making it a valuable resource for researchers and practitioners in operations research, industrial engineering, and robotics. Soltan’s research continues to influence the development of transparent, data-driven decision tools in manufacturing.