Decision-Making Models and Applications in Manufacturing Environments (ePub)
Applies the multi-criteria decision-making theory to solving problems and challenges in manufacturing environments, using MCDM computational methods to evaluate and select the most optimal solution or method to real-world manufacturing engineering issues.
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Applies the multi-criteria decision-making theory to solving problems and challenges in manufacturing environments, using MCDM computational methods to evaluate and select the most optimal solution or method to real-world manufacturing engineering issues.
Kumar Abhishek, PhD, is an Assistant Professor in the Mechanical and Aero-Space Engineering Department at the National Institute of Infrastructure, Technology, Research and Management, Ahmedabad, India. His area of research mainly focuses on manufacturing and industrial engineering, modeling and optimization of production processes, and composite machining. He has many publications in reputed journals and international conference publications to his credit. He organizes a workshop every consecutive year titled MOOMESA-Multi Objective Optimization Methods for Engineering and Scientific Applications.
Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has over 100 research papers published in international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modelling. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing as well as a series editor for several book series. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to
- 2024, 528 Seiten, Englisch
- Herausgegeben: Pushpdant Jain, Kumar Abhishek, Prasenjit Chatterjee
- Verlag: Taylor & Francis
- ISBN-10: 1000882586
- ISBN-13: 9781000882582
- Erscheinungsdatum: 20.02.2024
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- Dateiformat: ePub
- Größe: 27 MB
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