Solution proposal for completed preference structure in ORESTE method

Area of Science:

• Operations Research
• Decision Science
• Logistics Management

Background:

• Multi-criteria decision making (MCDM) methods like ORESTE (Organisation, Rangement Et Synthèse De Données Relationnelles) face inconsistency issues due to conflicting alternative rankings.
• The ORESTE method's limitation lies in its sole focus on ordering alternatives and criteria, potentially leading to conflicts when alternatives rank differently across criteria.

Purpose of the Study:

• To propose a novel integrated MCDM method, C-ORESTE III, that resolves inconsistencies inherent in the ORESTE method.
• To enhance the ORESTE method by incorporating CRITIC (Criteria Importance Through Inter-Criteria Correlation) weights to address conflicts in alternative evaluation.

Main Methods:

• Integration of the CRITIC method for determining criteria weights, considering inter-criteria correlations.
• Development of a preference density matrix using CRITIC weights to resolve conflicts in the ORESTE method's second step.
• Calculation of net flow values referencing the PROMETHEE II (Preference Ranking Organization Method for Enrichment Evaluations II) method within the C-ORESTE III framework.

Main Results:

• The proposed C-ORESTE III method effectively addresses and resolves the inconsistency problem found in the standard ORESTE method.
• Demonstrated applicability and validity of the C-ORESTE III method through a case study on green logistics center location selection.

Conclusions:

• The C-ORESTE III method offers a robust solution for multi-criteria decision-making problems where ORESTE's inconsistencies arise.
• The integration of CRITIC and PROMETHEE II principles enhances the reliability of ORESTE for complex decision-making scenarios like green logistics.