Using fuzzy AHP and fuzzy TOPSIS in fuzzy QFD: a case study in ceramic and tile industry of Iran

Keshteli, Ramezan Nemati; Davoodvandi, Elahe

doi:10.1504/ijpqm.2017.081480

Cited by 6 publications

(4 citation statements)

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“…This method is mainly applied to rank the issues (Sirisawat and Kiatcharoenpol, 2018). The notion of the TOPSIS method is contingent upon the criterion that the selected alternative need to have the smallest distance from the “positive ideal solution” (PIS) and the greatest distance from the “negative ideal solution” (NIS) (Keshteli and Davoodvandi, 2017; Kutlu and Ekmekçioǧlu, 2012). In addition, the fuzzy TOPSIS method was introduced by Chen (2000) to untangle MCDM problems in a fuzzy setting to address indeterminacy in adjudication and assessments (Seyedmohammadi et al , 2018).…”

Section: Methodsmentioning

confidence: 99%

An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing

Tavana

Shaabani

Naser

2020

IJQRM

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PurposeDelivering premium services and quality products are critical strategies for success in manufacturing. Continuous improvement (CI), as an underlying foundation for quality management, is an ongoing effort allowing manufacturing companies to see beyond the present to create a bright future. We propose a novel integrated fuzzy framework for analyzing the barriers to the implementation of CI in manufacturing companies.Design/methodology/approachWe use the fuzzy failure mode and effect analysis (FMEA) and a fuzzy Shannon's entropy to identify and weigh the most significant barriers. We then use fuzzy multi-objective optimization based on ratio analysis (MOORA), the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) and fuzzy simple additive weighting (SAW) methods for prioritizing and ranking the barriers with each method. Finally, we aggregate these results with Copeland's method and extract the main CI implementation barriers in manufacturing.FindingsWe show “low cooperation and integration of the team in CI activities” is the most important barrier in CI implementation. Other important barriers are “limited management support in CI activities,” “low employee involvement in CI activities,” “weak communication system in the organization,” and “lack of knowledge in the organization to implement CI projects.”Originality/valueWe initially identify the barriers to the implementation of CI through rigorous literature review and then apply a unique integrated fuzzy approach to identify the most important barriers based on the opinions of industry experts and academics.

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Section: Methodsmentioning

confidence: 99%

An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing

Tavana

Shaabani

Naser

2020

IJQRM

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“…The correlation degree between robot users' demand and technical characteristics is determined by the relevant symbols. According to the strength of the correlation, the corresponding triangular fuzzy number is converted to construct the fuzzy judgment matrix of the House of Quality [24]. The triangular fuzzy number is a type of fuzzy number, and its basic form is A = (a 1 , b 1 , c 1 ).…”

Section: Demand Transformation Of the Disinfection And Epidemic Preve...mentioning

confidence: 99%

Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm

2022

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In the present era, against the background of normalized measures of epidemic prevention and control, a multi-function intelligent robot that can completely replace human beings in disinfection and epidemic prevention work needs to be designed in order to contain the spread of viruses at the source, to efficiently and conveniently serve the controlled regions, and to meet the needs of the current context. Existing disinfection robot designs only address the problem of disinfection; there is no disinfection robot that can achieve full-domain and full-space disinfection (including stairs), as well as having multiple epidemic prevention functions. The fuzzy QFD tool and the ARIZ algorithm were used here to solve the problems related to disinfection robots. By using fuzzy QFD as the research framework and combining it with fuzzy AHP to calculate the weight of demand for the disinfection and epidemic prevention robot, the authors further translated the demand into the technical and part characterization of the robot. The conflicts in the fuzzy QFD model were solved using the ARIZ algorithm. Finally, based on the solving principle of the ARIZ algorithm and the qualitative and quantitative conclusions of fuzzy QFD, a robot for disinfection and epidemic prevention was designed in a comprehensive manner. A robot that can completely replace human beings in the tasks of disinfection and epidemic prevention was designed in this work, solving the problems associated with the robot’s ability to climb stairs and realizing the innovation of the robot’s comprehensive disinfection, distribution of materials, real-time monitoring, temperature measurement, and other functions. This study provides a theoretical reference for the design of related products.

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“…Several researchers utilized MCDM approaches in various applications including design. Dang et al [ 22 ] integrated the fuzzy analytical hierarchy process (FAHP) and the fuzzy technique for order preference by similarity to the ideal solution (FTOPSIS) to evaluate and sort the susceptibility data. The findings of this study showed that education, healthcare, quality of life, and social democracy were the most important markers to measure progress.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

“…It is a method of multicriteria analysis based on additive weighting, where several relevant attributes are represented by their relative relevance. FAHP is employed in this research work due to its theoretical comprehension, usability, and robustness of outcomes that have been proved in practice [ 7 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 ]. This work is organized into the following sections: a brief explanation of multi-criteria decision making approach and the proposed design is included in Section 2 .…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Designing and Simulation Assessment of a Chair Attachment Air Blowing Methods to Enhance the Safety of Prolonged Sitting

2023

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Musculoskeletal disorders and the stagnation of sitting are among the side effects of excessive sitting in awkward sitting positions. In this study, a developed chair attachment cushion design with an optimal air blowing technique is proposed to eliminate the negative side effects of prolonged sitting. Instantaneously reducing the contact area between the chair and its occupant is the fundamental goal of the proposed design. The fuzzy multi-criteria decision-making approaches represented by FAHP and FTOPSIS were integrated to evaluate and select the optimal proposed design. An ergonomic and biomechanics assessment of the occupant’s seating position while employing the novel safety cushion design was validated using simulation software (CATIA). Sensitivity analysis was also used to confirm the design’s robustness. Results show that the manual blowing system using an accordion blower was the optimal design concept based on the selected evaluation criteria. In fact, the proposed design provides an acceptable RULA index value for the examined sitting postures and performed very safely in the biomechanics single action analysis.

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Using fuzzy AHP and fuzzy TOPSIS in fuzzy QFD: a case study in ceramic and tile industry of Iran

Cited by 6 publications

References 0 publications

An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing

An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing

Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm

Designing and Simulation Assessment of a Chair Attachment Air Blowing Methods to Enhance the Safety of Prolonged Sitting

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