Application of Hybrid MCDM Approach for Selecting the Best Tyre Recycling Process

Vinodh, S.; Kandasamy, Jayakrishna

doi:10.1007/978-3-642-33792-5_5

Cited by 8 publications

(2 citation statements)

References 26 publications

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“…Sakthivel et al [51] developed two hybrid models combining FAHP with PROMETHEE and GRA to propose the best car alternative. Vinodh and Jayakrishna [52] and Khatwani et al [53] presented a hybrid MCDM approach, integrating FAHP with fuzzy-VIKOR and TOPSIS to select the best tire recycling process and an appropriate marketing channel, respectively, where, FAHP is used to identify the relative importance of the criteria. Adali and Isik [54] solved an air-conditioner selection problem using COPRAS and ARAS methods.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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Traditional Multi-Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision-making problems. The authors attempted to create two novel hybrid MCDM systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Complex PRoportional ASsessment (COPRAS). To demonstrate the ability and effectiveness of these two hybrid models i.e., TOPSIS-ARAS and COPRAS-ARAS were applied to solve a real-time robot selection problem with 12 alternative robots and five selection criteria, while evaluating the parametric importance using the CRiteria Importance Through Inter criteria Correlation (CRITIC) objective weighting estimation tool. The rankings of the robot alternatives gained from these two hybrid models were also compared to the obtained results from eight other solo MCDM tools. Although the rankings by the applied methods slightly differ from each other, the final outcomes from all of the adopted techniques are consistent enough to suggest that robot 12 is the best choice followed by robot 11, and robot 4 is the worst one among these 12 alternatives. Spearman Correlation Coefficient (SCC) also reveals that the proposed rankings derived from various methods have a strong ranking relationship with one another. Finally, sensitivity analysis was performed to investigate the effects of weight variation and to validate the robustness of the implemented MCDM approaches.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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“…Over the past years, a number of research works have been undertaken to solve various issues of the ELV management problem by using different multi-criteria decision making methods. Vinodh and Jayakrishna (2013) applied the analytic hierarchy process (AHP) for weighting criteria and VIKOR for selecting the best end-of-life product remanufacturing process for an Indian organization. Abdulrahman et al (2014) used the AHP method to assess remanufacturing practices in Chinese auto parts companies.…”

Section: Introductionmentioning

confidence: 99%

Development of a performance evaluation tool for end-of-life vehicle management system implementation using the analytic hierarchy process

et al. 2018

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The management of end-of-life vehicles (ELVs) conserves natural resources, provides economic benefits, and reduces water, air, and soil pollution. In an effort to adequately manage flow of ELVs, modern infrastructure is considered a prerequisite. Thus, development of an effective performance evaluation tool for monitoring and continuous improvement of ELV management systems is strongly desired. In this paper, a performance evaluation tool is proposed for ELV management system implementation, based on the analytic hierarchy process. A real-life case study in Malaysia was conducted in order to demonstrate the potential and applicability of the presented methodology. The scores of eight key success factors in establishing an ELV management system (i.e., management responsibility, performance management, capacity management, resource management, stakeholders' responsibility, education and awareness, improvement and enforcement, and cost management) are presented. The overall score of the ELV management system implementation in Malaysia is equal to 2.13. Therefore, its performance level is average. The presented multi-criteria decision analysis tool can be of assistance not only to stakeholders in the Malaysian ELV management system, but also to vehicle recycling managers from other countries in order to monitor and continuously improve their ELV management systems.

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Analyzing the drivers of end-of-life tire management using interpretive structural modeling (ISM)

Kannan

Diabat²,

Shankar

2014

Int J Adv Manuf Technol

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Application of Hybrid MCDM Approach for Selecting the Best Tyre Recycling Process

Cited by 8 publications

References 26 publications

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

Development of a performance evaluation tool for end-of-life vehicle management system implementation using the analytic hierarchy process

Analyzing the drivers of end-of-life tire management using interpretive structural modeling (ISM)

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