Relaxed Rank Order Centroid Weighting MCDM Method With Improved Grey Relational Analysis for Subcontractor Selection: Photothermal Power Station Construction

Abstract

This article addresses the problem of subcontractor selection in an uncertain decision-making environment by proposing a new hybrid method and improving a classical multicriteria decision-making (MCDM) method. First, the proposed hybrid method combines subjective and objective weighting methods to estimate the weights of criteria that are represented as grey numbers. The subjective weighting method is the PA weighting method. The objective weighting method is the rank order centroid with slacks (ROCS) weighting method used to compensate for the limitation of the rank order centroid weighting method. Second, grey relational analysis (GRA) is improved by introducing both positive and negative reference (PNR) alternatives instead of a single reference alternative as in the classical GRA. Subsequently, the proposed hybrid grey-point allocation-ROCS weighting method and the GRA-PNR evaluation method are applied to select the most suitable subcontractor for the supply of heliostats for photothermal power station construction. Sensitivity analysis is conducted to verify the robustness of the results. Finally, the technique for order preferences by similarity to an ideal solution with grey values, simple additive weighting with grey relations, and additive ratio assessment with grey criteria scores is applied to validate the participation of the selected subcontractor in the project.Index Terms-Grey relational analysis (GRA), grey system theory (GST), multicriteria decision-making (MCDM), photothermal power station, rank order centroid (ROC), subcontractor selection. I. INTRODUCTIONT HE seventh sustainable development goal is to ensure access to affordable, reliable, sustainable, and modern energy for all [1]. Although meeting the demand for energy is not an easy requirement, the People's Republic of China (PRC) is now Manuscript

Grey hybrid normalization with period based entropy weighting and relational analysis for cities rankings

“…GRA with positive and negative references (PNR) method was proposed by Esangbedo et al 9 and addresses the limitation of a single point of reference in comparing two grey numbers. After obtaining the weighted normalized matrix, the positive reference alternative (PRA) and negative references alternative (NRA) are obtained.…”

“…A similar study was conducted for west-African countries using cities as proxies in evaluating the countries based on the grey-WSM 59 . Furthermore, Esangbedo et al 9 proposed the ROC with slacks for Photothermal Power Station Construction; undoubtedly, upon completion of the station, among its numerous uses, it will be used for charging EVs. Esangbedo and Tang 60 applied the MEREC and multi-attribute ideal-real comparative analysis based on the grey system theory to evaluate heavy machinery company decolonization systems.…”

“…Since then, many MCDM approaches have been designed to improve efficacy through combination with other MCDM methods. Furthermore, in this study, we applied the GRA with positive and negative references proposed by Esangbedo et al 9 to rank the cities.…”

Research on the Key Influencing Goals for Visual Design Sustainability: A Dual Perspective

“…Afterwards, the degree of correlation between the two series is indicated by the degree of grey correlation [52]. Therefore, these features make GRA an effective method for solving MCDM problems with multiple attributes or with multiple scenarios [53][54][55][56].…”

Cost and Quality Optimization Taguchi Design with Grey Relational Analysis of Halloysite Nanotube Hybrid Composite: CNC Machine Manufacturing

“…The GRA is a multi-criteria decision-making method with wide applications in natural science, social science, and engineering technology [22][23][24]. Much research has been conducted on the production optimization of hybrid composite materials.…”