A SWARA-CoCoSo-Based Approach for Spray Painting Robot Selection

Kumar, Vidyapati; Kalita, Kanak; Chatterjee, Prasenjit; Zavadskas, Edmundas Kazimieras; Chakraborty, Shankar

doi:10.15388/21-infor466

Cited by 57 publications

(24 citation statements)

References 36 publications

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“…These situation shows that the CoCoSo method is a robust method, which has advantages in reliability of the obtaining results (Peng et al, 2019;Lai et al, 2020;Torkayesh et al, 2021). As explained in Appendix A.6, CoCoSo solves multi-criteria problems reliable and easily (Yazdani et al, 2019;Ecer et al, 2019;Kumar et al, 2022).…”

Section: Cocoso (Combined Compromise Solution)mentioning

confidence: 96%

Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries

Ecer¹,

Ayçın²

2022

Informatica

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Innovation can be the greatest hope of overcoming economic challenges. This paper aims to evaluate countries concerning their innovation performances. We introduce an innovation performance evaluation methodology by considering objective factors and applying seven reliable MCDM methods: MEREC, CODAS, MABAC, MARCOS, CoCoSo, WASPAS, and MAIRCA. MEREC calculates the relative weights of indicators considered, while the other techniques decide the ranking order of G7 countries. The Borda rule is then employed to gain an aggregated ranking order. “Business sophistication” is the most critical indicator, whereas the US has the best position regarding the overall ranking. Sensitivity control is as well conducted.

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Section: Cocoso (Combined Compromise Solution)mentioning

confidence: 96%

Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries

Ecer¹,

Ayçın²

2022

Informatica

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“…The best option is the one that simultaneously guarantees the smallest repeatability and the largest four other criteria (including load capacity, maximum tip speed, memory capacity, and manipulator reach). In [6], two methods WARA (Weighted Average Return on Assets) and COCOSO (COmbined COmpromise SOlution) were used to rank twelve different robots. Both of these methods together determine the best solution.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Selection of welding robot by multi-criteria decision-making method

Sơn

Hieu

2023

EEJET

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Welding is a method to join parts together by a stable connection. Welding is used in many different fields. The limitations of manual welding methods are gradually eliminated when using welding robots. The selection of a welding robot has a great influence on the efficiency of the welding process. Choosers (customers) often encounter problems when choosing among many products that are available in the market. During this study, seven types of robots were given to make a choice including AR700, AR900, AR1440, AR1730, AR2010, MA3120, VA1400 II. These seven options are commonly used in welding processes. There are a variety of different parameters (criteria) used to evaluate each of these robots. However, the value of the criteria in the robots is very different. The selection of a robot that is considered the best should be based on all those criteria. At this point, the selection of robots is called MCDM (Multi-Criteria Decision-Making). In this research, two MCDM methods were used to rank the types of robots: MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) and PSI (Preference Selection Index). The determination of important quantities for the criteria has been carried out by various methods, including the MEREC (MEthod based on the Removal Effects of Criteria), EQUAL, ROC (Rank Order Centroid) and RS (Rank Sum) methods. The MARCOS method was used four times corresponding to four different sets of weights. Meanwhile, when using the PSI method, we do not need to calculate the weights for the criteria. All five ranking results indicate the same best alternative. The results indicate that MA3120 is the best one. The two methods MARCOS and PSI are reliable enough to be used when multi-criteria decision-making is required, firstly, in the selection of welding robots.

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“…This method is user-friendly, less complicated and less time consuming. It also gives decision makers the opportunity to choose and assess the criteria and set their weights, while enabling experts to use their knowledge and experience in the research area (Hashemkhani Zolfani et al, 2018;Kumar et al, 2022). The initial version of this method was not efficient in the face of situations where decision makers' information is unreliable and incomplete.…”

Section: Swara-ivtfnmentioning

confidence: 99%

Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data

Estiri¹,

Dahooie²,

Zavadskas³

2023

Informatica

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Due to the increasing importance of evaluating the quality of health care services using the patient-centred approach, this study aimed to propose a novel framework by combining the SERVQUAL model and multi-attribute decision-making (MADM) methods using interval-valued triangular fuzzy numbers (IVTFN). In this study, after an initial overview of related work and expert opinions, a list of the most important dimensions and indicators for measuring the quality of health care services was extracted and localized. Then, to determine the importance of each of the identified factors, one of MADM’s acceptable methods called step-wise weight assessment ratio analysis (SWARA) was used. Then, in order to use the developed framework for comparing different health centres and ranking them, after collecting evaluation data in the form of linguistic variables, another practical method in the field of MADM has been used, namely, Additive Ratio Assessment (ARAS) method. The dimensions and sub-dimensions identified are, on the one hand, appropriate to the conditions of the case study and, on the other hand, the findings from the implementation show that among the dimensions of health service quality, responsiveness and then reliability has the highest rank in this case. Also, the use of IVTFN, on the one hand, eliminates the problems related to the use of Likert scale in other quality assessment methods and, on the other hand, reduces the possibility of facing imperfect knowledge of data which is a common problem in the field of qualitative evaluations. Utilizing the results of this study can significantly help decision makers in their choice of strategies to improve service quality. Furthermore, improving the quality of services can play an important role in promoting the competitiveness and performance of health care providers by increasing patient satisfaction with the services received. Also, as a side effect, the developed framework can be used to compare the performance of different hospitals and health centres, as well as their ranking.

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A SWARA-CoCoSo-Based Approach for Spray Painting Robot Selection

Cited by 57 publications

References 36 publications

Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries

Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries

Selection of welding robot by multi-criteria decision-making method

Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data

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