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Selected Multi-criteria Decision-Making Methods and Their Applications to Product and System Design

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Optimization Methods for Product and System Design

Part of the book series: Engineering Optimization: Methods and Applications ((EOMA))

Abstract

Optimization problems in design and engineering often involve multiple conflicting objectives, and their solution requires multi-objective optimization (MOO). The solution of MOO problems is a set of equally good optimal solutions, known as Pareto-optimal solutions (front). One more critical step is therefore required to choose one solution from the Pareto-optimal front, for implementation; this step is known as multi-criteria decision-making (MCDM). In this chapter, MCDM procedure, 4 normalization methods, 4 weighting methods and 5 MCDM methods are described. Then, MS Excel program, developed by our group, for these chosen methods is presented. Finally, several MCDM applications involving product and system design are used to demonstrate the applicability and effectiveness of the MS Excel program and the selected MCDM methods.

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Author information

Authors and Affiliations

  1. Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117585, Singapore

    Zhiyuan Wang & Gade Pandu Rangaiah

  2. Department of Continuing Education, DigiPen Institute of Technology Singapore, Singapore, 139660, Singapore

    Zhiyuan Wang

  3. Department of Applied Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran

    Seyed Reza Nabavi

  4. School of Chemical Engineering, Vellore Institute of Technology, Vellore, 632014, India

    Gade Pandu Rangaiah

Authors
  1. Zhiyuan Wang
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  2. Seyed Reza Nabavi
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  3. Gade Pandu Rangaiah
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Corresponding author

Correspondence to Gade Pandu Rangaiah .

Editor information

Editors and Affiliations

  1. Institute of Artificial Intelligence, Dr. Vishwanath Karad MIT World Peace University, Pune, India

    Anand J. Kulkarni

Appendix

Appendix

See Tables 7.10, 7.11, 7.12 and 7.13.

Table 7.10 Fruit supply chain dataset
Full size table
Table 7.11 VOC recovery dataset
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Table 7.12 Machine tool selection dataset
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Table 7.13 Non-Traditional Machining (NTM) process selection dataset
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wang, Z., Nabavi, S.R., Rangaiah, G.P. (2023). Selected Multi-criteria Decision-Making Methods and Their Applications to Product and System Design. In: Kulkarni, A.J. (eds) Optimization Methods for Product and System Design. Engineering Optimization: Methods and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-1521-7_7

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  • DOI: https://doi.org/10.1007/978-981-99-1521-7_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1520-0

  • Online ISBN: 978-981-99-1521-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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