A TOPSIS-based approach for the best match between manufacturing technologies and product specifications

Bertolini, Massimo; Esposito, Giovanni; Romagnoli, Giovanni

doi:10.1016/j.eswa.2020.113610

Cited by 28 publications

(5 citation statements)

References 49 publications

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“…TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) is one of decision making methods to help obtain optimal decisions (Technique For Order Preference by Similarity to Ideal Solution) (Kurnia, 2018;Rahman et al, 2022) Until 2023, TOPSIS was widely used, with more than 303,000 citations (Scholar, 2023b) for practical decision making because of its robust mathematical basis, simplicity, and ease of implementation (Yeh, 2003). OPSIS has been widely used in various fields such as purchasing decisions and outsourcing providers selection (Wei et al, 2019), manufacturing decision making (Bertolini et al, 2020), financial performance analysis (Roy & Patro, 2021;Liew et al, 2022), service Vol. 14 No.…”

Section: A the Teacher Performance Assessment In Indonesiamentioning

confidence: 99%

Need Analysis for Teacher Performance Evaluation: Systematic Literature Review

Usman,

Hakim Irwanto,

Zainiyati

et al. 2023

Tarbiyatuna

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One of recent educational problems is in the evaluation of teacher performance. It is revealed that the practices of teacher performance evaluation are manual, intuitive, and less objective. It causes the evaluation of teachers’ performance has not been maximum. This inability to carry out teacher performance evaluation must be analyzed in order to minimize evaluation practices that do not comply with procedures, so as to produce maximum assessments as material for sustainable evaluation. The aim of this research is to analyze the needs for teacher performance assessment practices in Indonesia. This research uses a qualitative approach of the systematic literature review (SLR) type. The tools used to compile literature are Publish and Perish and Google Scholar. The codification results find 25 articles about teacher performance evaluation. The codified articles are limited from 2018 -2022. The research results show that the most urgent need analysis is the requirement for teacher performance evaluation to determine the teacher's ability to do their responsibilities and to provide warnings and motivation to teachers. Good teachers are supported by the competence of good school principals as mentors, coaches, and developers in school progress.

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Section: A the Teacher Performance Assessment In Indonesiamentioning

confidence: 99%

Need Analysis for Teacher Performance Evaluation: Systematic Literature Review

Usman,

Hakim Irwanto,

Zainiyati

et al. 2023

Tarbiyatuna

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“…Furthermore, the premise of equal priorities for clusters when deriving the weighted supermatrix is not valid in the practical scenario where these scores may vary [43,44]. By comparison, TOPSIS is suggested to cope with the ranking of classifier alternatives [45] and the definition of improvement strategies in view of: (i) the resulting closeness coefficient that can be assumed as an index denoting the appropriateness of each classifier, (ii) the easy identification of suitable algorithms based on the index proposed in the previous point, and (iii) the calculation of Euclidean distances to both ideal and anti-ideal solutions [31,46,47], which permits the identification of lazy criteria/sub-criteria, thereby laying the groundwork for delineating strategies augmenting the suitability of each algorithm. The Simple Additive Weighting (SAW) method can be also applied to order the alternatives; however, its results are not always realistic and are only limited to maximizing criteria, which precludes its application in this context [48,49].…”

Section: Technology Adoption In Pwd From An Mcdm Perspectivementioning

confidence: 99%

A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia

Ortíz‐Barrios

García-Constantino

Nugent

et al. 2022

IJERPH

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The classifier selection problem in Assistive Technology Adoption refers to selecting the classification algorithms that have the best performance in predicting the adoption of technology, and is often addressed through measuring different single performance indicators. Satisfactory classifier selection can help in reducing time and costs involved in the technology adoption process. As there are multiple criteria from different domains and several candidate classification algorithms, the classifier selection process is now a problem that can be addressed using Multiple-Criteria Decision-Making (MCDM) methods. This paper proposes a novel approach to address the classifier selection problem by integrating Intuitionistic Fuzzy Sets (IFS), Decision Making Trial and Evaluation Laboratory (DEMATEL), and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The step-by-step procedure behind this application is as follows. First, IF-DEMATEL was used for estimating the criteria and sub-criteria weights considering uncertainty. This method was also employed to evaluate the interrelations among classifier selection criteria. Finally, a modified TOPSIS was applied to generate an overall suitability index per classifier so that the most effective ones can be selected. The proposed approach was validated using a real-world case study concerning the adoption of a mobile-based reminding solution by People with Dementia (PwD). The outputs allow public health managers to accurately identify whether PwD can adopt an assistive technology which results in (i) reduced cost overruns due to wrong classification, (ii) improved quality of life of adopters, and (iii) rapid deployment of intervention alternatives for non-adopters.

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“…The multi-criteria decision analysis TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) is based on calculating the Euclidean distance to evaluate the distance between the ideal positive and negative solutions (Bertolini et al, 2020;Kirubakaran & Ilangkumaran, 2016).…”

Section: Robust Tool For Determining Critical Components For Maintena...mentioning

confidence: 99%

Entropy-MAUT integrated approach supported by Fuzzy K-means: a robust tool for determining critical components for maintenance monitoring and a case study of Kaplan hydro generator unit

Bellinello,

Antomarioni,

Souza

et al. 2022

Prod.

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Paper aims: This paper aims to develop a proper maintenance policy directly related to defining critical components for ensuring a high level of safety and high-level in-service quality for all hydro generator units.Originality: An innovative integrated tool that contributes to ensuing assertiveness in decision-making to determine the critical components is presented in this study. Specifically, hydro-generator unit type Kaplan belonging to a Brazilian Hydroelectric power plant is used as an application case to highlight the choice of the most suitable maintenance policy in light of the proposed approach. The selection of the case study is based on the fact that hydroelectric power plants are the basis of the Brazilian energy matrix, accounting for 75% of the demand in the country. Therefore, the need to maintain hydroelectric plants' availability and operational reliability is clear not to compromise the continuity and conformity (quality) of the electrical energy supply.Research method: Seven multi-criteria decision-making methods were applied in addition to two methods for deciding weight (Critic Method and Entropy) have been compared to determine the critical components of the hydro-generator. To investigate the robustness of the classification of the applied Multi-Criteria Decision Making approaches, a sensitivity analysis was performed based on the weight change of each decision criterion. Main findings:As a main result, the Entropy-Multi-Attribute Utility Theory model is proposed as the best approach to guarantee the selection of critical components for the Brazilian hydroelectric power plant case study. The validation sensitivity analysis by critical Fuzzy K-means groups guarantees that it is a robust tool for decision-making.Implications for theory and practice: Ensuring the availability and reliability of hydroelectric plants can be achieved by employing appropriate maintenance policies that reduce the likelihood of failure or even eliminate its root causes, preventing failure from occurring. Consequently, a robust tool for decision-making regarding the Kaplan hydro generator's critical components' monitoring was developed.

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A TOPSIS-based approach for the best match between manufacturing technologies and product specifications

Cited by 28 publications

References 49 publications

Need Analysis for Teacher Performance Evaluation: Systematic Literature Review

Need Analysis for Teacher Performance Evaluation: Systematic Literature Review

A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia

Entropy-MAUT integrated approach supported by Fuzzy K-means: a robust tool for determining critical components for maintenance monitoring and a case study of Kaplan hydro generator unit

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