A Comparative Analysis for a Novel Hybrid Methodology using Neutrosophic theory with MCDM for Manufacture Selection

The rapid growth of economic makes the process of manufacturing become a political, social, and community concerns. The manufacture selection is a complex multi-criteria decision making (MCDM) issue. The achievement of optimum alternative with respect to manufacture criteria have various diverse procedures. However, recognizing suitable MCDM methods to be adequate for manufacture process is critical for the success to achieve the ideal manufacture. The selection of ideal manufacture decisions is taken in conditions of uncertainty that difficult handled by the traditional methods. Therefore, a proposed hybrid methodology of neutrosophic theory with several MCDM techniques of Analytic Hierarchy Process (AHP), Multi-Objective Optimization based on Ratio Analysis (MULTIMOORA), Multi-Attributive Border Approximation Area Comparison (MABAC), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to the purposes of manufacture selection. The assessment factors of computational complexity, adequacy to changes of criteria, and agility are applied on the proposed MCDM methods to evaluate sufficiency of the decision process. An empirical study is presented to illustrate the suitability and applicability for suggested methodology. The outcomes demonstrated that proposed hybrid methodology is convenient for manufacture selection. A comparative study is applied, and the results showed, the agility in decision process, AHP technique executed well than MABAC, MULTIMOORA and TOPSIS. The computational complexity, the MABAC technique executed well than AHP, MULTIMOORA and TOPSIS. Additionally, MABAC, MULTIMOORA and TOPSIS techniques are recommended to be the choice of the manufacture selection for adequacy to changes of criteria.