A decision analysis model for material selection using simple ranking process
Shervin Zakeri1, Prasenjit Chatterjee2, Dimitri Konstantas3
1Geneva School of Economics and Management, University of Geneva, 1211, Geneva, Switzerland. Shervin.zakeri@etu.unige.ch.
Scientific Reports
|May 27, 2023
Summary
This study introduces the Simple Ranking Process (SRP), a new method for complex material selection problems. SRP eliminates normalization and relies on criteria ranks, proving effective for challenging multi-criteria decision-making scenarios.
Area of Science:
- Materials Science
- Decision Science
- Operations Research
Background:
- Material selection is often a complex multi-criteria decision-making (MCDM) problem due to numerous materials and criteria.
- Existing MCDM methods may introduce errors through normalization steps, impacting the accuracy of material selection outcomes.
Purpose of the Study:
- To introduce a novel decision-making method, the Simple Ranking Process (SRP), designed to address complex material selection challenges.
- To evaluate the reliability and performance of SRP compared to existing MCDM techniques.
Main Methods:
- The proposed Simple Ranking Process (SRP) method, which omits the normalization step and focuses on the ranks of alternatives for each criterion.
- Utilizing the Vital-Immaterial Mediocre Method (VIMM) to derive criteria weights from expert assessments.
- Introducing two new statistical measures: Compromise Decision Index (CDI) for evaluating MCDM outputs and Dependency Analysis for assessing method reliability on criteria weights.
Main Results:
- SRP effectively handles complex material selection by considering only the ranks of alternatives, avoiding potential normalization-induced errors.
- The Compromise Decision Index (CDI) suggests that theoretical outputs of many MCDM methods require practical validation.
- Dependency Analysis reveals SRP's high reliance on criteria weights, with reliability increasing with the number of criteria.
Conclusions:
- The Simple Ranking Process (SRP) is a robust and reliable method for complex material selection and multi-criteria decision-making (MCDM) problems.
- SRP's performance and reliability are enhanced in scenarios with a greater number of decision criteria.
- The proposed statistical measures (CDI and Dependency Analysis) offer valuable tools for evaluating and validating MCDM methods in practical applications.
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