Papers
1
Total Citations
12
H-Index
1
About
Dr. Sudipto Chaki is a prominent researcher in the field of industrial engineering and multi-criteria decision-making (MCDM), with a particular focus on optimizing manufacturing environments. His most cited work, "Applications of Modified Simple Additive Weighting Method in Manufacturing Environment" (2022), has garnered 12 citations and introduces an innovative adaptation of the SAW method to solve complex ranking problems where conflicting criteria must be balanced. This contribution provides decision-makers with a refined tool for selecting optimal alternatives in industrial settings, enhancing efficiency and accuracy in production planning. Dr. Chaki’s research bridges theoretical MCDM frameworks with practical manufacturing challenges, offering actionable solutions for resource allocation and process improvement. His work is notable for its clarity and applicability, making it a valuable resource for students and practitioners seeking to implement robust decision-making techniques. With a growing citation record, Dr. Chaki continues to influence the evolution of decision science in manufacturing, demonstrating how modified methodologies can address real-world industrial complexities.
Research Focus
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Top Papers
- 1