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Analysis in Material Selection: Influence of Normalization Tools on COPRAS-G

Author

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  • MORTEZA YAZDANI

    (Department of Business Management, Faculty of Social Sciences Universidad Europea de Madrid, Madrid, 28670, Spain)

  • ALI JAHAN

    (Department of Industrial Engineering, Semnan Branch Islamic Azad University, Semnan, Iran)

  • ED. KAZIMIERAS ZAVADSKAS

    (Department of Construction Technology and Management Vilnius Gediminas Technical University, Vilnius, Lithuania)

Abstract

Multi criteria decision making (MCDM) methods algorithms are influenced by many parameters and variables as orientation of attributes, aggregation attitude, weights and normalization tools. Various MCDM methods find solution for decision problems using different normalization methods. Normalization process has an important role in decision process and can modify the ranking and final decision. Due to uncertainty associated with data in decision making about materials and design, COPRAS method with interval numbers (COPRAS-G) was recognized as a promising approach in this regard. This paper intends to apply COPRAS-G method in several specific material evaluation studies. Normalization tools are positioned in COPRAS method to check the effect of each tool. Two examples of material and design selection projects are recognized suitable for this study. The results show depending on the number of criteria and number of alternatives material, ranking can be changed when a different normalization tools are considered. This help designers and engineers to achieve a compromise on design decision making process, especially when the material properties and design performance criteria are affected from stochastic nature of design and manufacturing parameters

Suggested Citation

  • Morteza Yazdani & Ali Jahan & Ed. Kazimieras Zavadskas, 2017. "Analysis in Material Selection: Influence of Normalization Tools on COPRAS-G," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(1), pages 59-74.
    • Handle: RePEc:cys:ecocyb:v:50:y:2017:i:1:p:59-74
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    References listed on IDEAS

    as
    1. Romualdas Ginevicius & Valentinas Podvezko, 2007. "Some problems of evaluating multicriteria decision methods," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 8(5/6), pages 527-539.
    2. Darius Migilinskas & Leonas Ustinovichius, 2007. "Normalisation in the selection of construction alternatives," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 8(5/6), pages 623-639.
    3. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
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    Cited by:

    1. Nazlı Ersoy, 2022. "The Influence of Statistical Normalization Techniques on Performance Ranking Results: The Application of MCDM Method Proposed by Biswas and Saha," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(5), pages 1-21, January.
    2. Xiao-Wen Qi & Jun-Ling Zhang & Shu-Ping Zhao & Chang-Yong Liang, 2017. "Tackling Complex Emergency Response Solutions Evaluation Problems in Sustainable Development by Fuzzy Group Decision Making Approaches with Considering Decision Hesitancy and Prioritization among Asse," IJERPH, MDPI, vol. 14(10), pages 1-35, October.
    3. Saikat Chatterjee & Shankar Chakraborty, 2022. "A multi-attributive ideal-real comparative analysis-based approach for piston material selection," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 207-228, March.
    4. Melkonyan, Ani & Gruchmann, Tim & Lohmar, Fabian & Kamath, Vasanth & Spinler, Stefan, 2020. "Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks," International Journal of Production Economics, Elsevier, vol. 228(C).

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    More about this item

    Keywords

    COPRAS-G; interval data; materials selection; MCDM; Normalization tools.;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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