IDEAS home Printed from https://ideas.repec.org/a/cys/ecocyb/v50y2017i1p59-74.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: ftp://www.eadr.ro/RePEc/cys/ecocyb_pdf/ecocyb1_2017p59-74.pdf
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marwa Hannouf & Getachew Assefa, 2018. "A Life Cycle Sustainability Assessment-Based Decision-Analysis Framework," Sustainability, MDPI, vol. 10(11), pages 1-22, October.
    2. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore, 2014. "The SMAA-PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 239(2), pages 514-522.
    3. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    4. Kokaraki, Nikoleta & Hopfe, Christina J. & Robinson, Elaine & Nikolaidou, Elli, 2019. "Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 991-1007.
    5. Nuwan Munasinghe & Thomas Romeijn & Gavin Paul, 2023. "Voxel-based sensor placement for additive manufacturing applications," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 739-751, February.
    6. María Pilar de la Cruz López & Juan José Cartelle Barros & Alfredo del Caño Gochi & Manuel Lara Coira, 2021. "New Approach for Managing Sustainability in Projects," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
    7. Adam Stecyk, 2023. "Enhancing Sustainable Development in ASEAN: An Integrated Assessment of Education and Health Factors," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 209-220.
    8. Clara Moreira Senne & Josiane Palma Lima & Fábio Favaretto, 2021. "An Index for the Sustainability of Integrated Urban Transport and Logistics: The Case Study of São Paulo," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    9. Mahsa Ghandi & Abbas Roozbahani, 2020. "Risk Management of Drinking Water Supply in Critical Conditions Using Fuzzy PROMETHEE V Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 595-615, January.
    10. Manuel Casal-Guisande & Alberto Comesaña-Campos & Alejandro Pereira & José-Benito Bouza-Rodríguez & Jorge Cerqueiro-Pequeño, 2022. "A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring," Mathematics, MDPI, vol. 10(3), pages 1-30, February.
    11. Francis Marleau Donais & Irène Abi-Zeid & E. Owen D. Waygood & Roxane Lavoie, 2021. "A Framework for Post-Project Evaluation of Multicriteria Decision Aiding Processes from the Stakeholders’ Perspective: Design and Application," Group Decision and Negotiation, Springer, vol. 30(5), pages 1161-1191, October.
    12. Ute Weißfloch & Jutta Geldermann, 2016. "Assessment of product-service systems for increasing the energy efficiency of compressed air systems," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(3), pages 341-366.
    13. Miller, Michael & Mattes, Katharina, 2014. "Demonstration of a multi-criteria based decision support framework for selecting PSS to increase resource efficiency," Working Papers "Sustainability and Innovation" S11/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
    14. Sebastian Schär & Jutta Geldermann, 2021. "Adopting Multiactor Multicriteria Analysis for the Evaluation of Energy Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    15. Mohamed Gouraizim & Abdelhadi Makan & Hossain Ouarghi, 2023. "A CAR-PROMETHEE-based multi-criteria decision-making framework for sustainability assessment of renewable energy technologies in Morocco," Operations Management Research, Springer, vol. 16(3), pages 1343-1358, September.
    16. Weam Tunsi & Hisham Alidrisi, 2023. "The Innovation-Based Human Development Index Using PROMETHEE II: The Context of G8 Countries," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    17. Anane, Makram & Bouziri, Lamia & Limam, Atef & Jellali, Salah, 2012. "Ranking suitable sites for irrigation with reclaimed water in the Nabeul-Hammamet region (Tunisia) using GIS and AHP-multicriteria decision analysis," Resources, Conservation & Recycling, Elsevier, vol. 65(C), pages 36-46.
    18. Ronyastra, I Made & Saw, Lip Huat & Low, Foon Siang, 2023. "A review of methods for integrating risk management and multicriteria decision analysis in financial feasibility for post-coal-mining land usage selection," Resources Policy, Elsevier, vol. 86(PB).
    19. Minhui Ren & Yu Fan & Jindong Chen & Jian Zhang, 2023. "A Multi-Stage Model for Perceived Quality Evaluation of Clothing Brands," Mathematics, MDPI, vol. 11(18), pages 1-16, September.
    20. Merad, Myriam & Dechy, Nicolas & Serir, Lisa & Grabisch, Michel & Marcel, Frédéric, 2013. "Using a multi-criteria decision aid methodology to implement sustainable development principles within an organization," European Journal of Operational Research, Elsevier, vol. 224(3), pages 603-613.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cys:ecocyb:v:50:y:2017:i:1:p:59-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/feasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.