Application of MEREC in Multi-Criteria Selection of Optimal Spray-Painting Robot

Abstract

Robots are being increasingly utilized for various operations in industrial and household applications. One such application is for spray painting, wherein atomized paint particles are sprayed on a surface to coat the surface with paint. As there are different models of robots available for the job, it becomes crucial to select the best among them. Multi-criteria decision-making (MCDM) techniques are widely used in various fields to tackle selection problems where there are many conflicting criteria and several alternatives. This work focuses on selecting the best robot among twelve alternatives based on seven criteria, among which payload, speed, and reach are beneficial criteria while mechanical weight, repeatability, cost, and power consumption are cost criteria. Five MCDM techniques, namely combination distance-based assessment (CODAS), complex proportional assessment (COPRAS), combined compromise solution (CoCoSo), multi-attributive border approximation area comparison (MABAC), and višekriterijumsko kompromisno rangiranje (VIKOR) were used for the selection while a weight calculation was performed using an objective weight calculation technique called MEREC. HY1010A-143 was found to be the most suitable robot for spray-painting applications by four of the five techniques used. Correlation studies showed a significant level of correlation among all the MCDM techniques.

Analysis of Trade Performance in Serbia Based on Integrated Methods of Multi-Criteria Decision-Making

“…Weighting methods can be objective, subjective, and integrated in nature. This paper discusses the method based on the removal effects of criteria (MEREC -Method based on the Removal Effects of Criteria) for determining their weights in decision problems with multiple criteria ( Ayçin et The MEREC method is in the category of objective criteria weighting methods, which uses the effect of removing each criterion on the performance of alternatives to determine the weight of the criteria ( Shanmugasundar et al, 2022 ). Higher weights are assigned to criteria that have greater effects on the performance of alternatives.…”

“…On a defined set of n criteria, 𝐶 = {𝐶 1 , 𝐶 2 , … , 𝐶 𝑛 }the criteria are ranked according to their importance as 𝐶 1 > 𝐶 2 > 𝐶 3 > ⋯ > 𝐶 𝑛 . (17) Ratios (14)(15)(16)(17) and values 𝜆 𝑛−1,𝑛 can be viewed as ratios of criteria to which the decision maker assigns total importance in the interval of 100% for the two observed criteria.…”

Cobot selection using hybrid AHP-TOPSIS based multi-criteria decision making technique for fuel filter assembly process

“… ENTROPY TOPSIS Industrial application [ 26 ] Payload, mechanical weight, speed, repeatability, reachability, cost and power and consumption. CoCoSo SWARA Manufacturing [ 27 ] Payloads, speed, reach, mechanical weight, repeatability, cost and power consumption. CODAS, COPRAS, MEREC Industrial application [ 28 ] Economic cost, load capacity, repeatability error, top speed, kinematic structure and vertical reach, horizontal reach, memory capacity, weight and power consumption.…”

Integrated Machine Learning Algorithms and MCDM Techniques in Optimal Ranking of Battery Electric Vehicles

“…The method of MEREC is developed by Keshavarz-Ghorabaee et al, [41] is one of the MCDM methods used to determine the criterion weights based on analysis of variances. The method of MEREC is applied by Raut et al, [42] in supplier selection, Shanmugasundar et al, [43] in selection of painting robot, Ivanović et al, [44] in truck selection, S. Ghosh and Bhattacharya, [45] in financial performances, Ulas et al, [46] in dealing with banking problems, Fattouch et al, [47] in IoT affairs. These criterion weight computation methods are extensively applied in various other fields in crisp forms, fuzzy and extended fuzzy forms of intuitionistic, Neutrosophic and Plithogenic.…”