Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section

Chaghooshi, Ahmad Jafarnejad; Fathi, Mohammad Rezā; Kashef, Mojtaba

doi:10.3926/jiem.397

Cited by 11 publications

(4 citation statements)

References 16 publications

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“…The fuzzy values are expressed as intervals using α -level sets. Jafarnejad Chaghooshi et al (2012) found 0.3 alpha as an appropriate value for the Likert scale (see Table 2). The weighted barriers obtained by fuzzy Shannon's entropy provided in Table 6.…”

Section: Resultsmentioning

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: Resultsmentioning

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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“…TOPSIS was first proposed in a crisp version as a linear weighting technique, and after that, it is commonly used to solve the Multi-Criteria decision problems in various engineering and management fields. It works on the principle of geometric distance for selected alternatives; the shortest distance is the positive ideal solution, and the largest is the negative ideal solution [31]. Geometric distances are calculated and summed, and alternatives are chosen based on maximum similarity.…”

Section: Multicriteria Optimizationmentioning

confidence: 99%

A Review on Design of Sustainable Advanced Materials by Using Artificial Intelligence

Zeng

2024

Advanced Materials &Amp; Sustainable Manufacturing

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This paper gives a comprehensive review of scientific interests and current methodologies of artificial intelligence applied to advanced material design and discovery by taking into account multiple sustainable design criteria such as functionalities, costs, environmental impacts, and recyclability. The main research activities include predicting material properties, compositions, and structures with data mining, new material discovery, hybrid modeling approaches combining AI techniques and classical computational formulations based on physical and chemical laws, and multicriteria optimization of materials. Based on this review, a short analysis is provided on the perspectives of this research area in the future, aiming at creating an everything connected material life cycle with real-time traceability systems.

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“…Among the prominent objective weight approach includes; Standard Deviation weight method (Baruah & K, 1999), Shannon's entropy weight method (Chaghooshi, et al, 2012) which are some referred to as a subjective and objective method, and finally the objective and subjective weight method (Ma, Fan, & Huang, 1999). In this study, we aimed to presents a reliable, easy and straightforward approach for determining criteria weight by using both subjective and objective factors in forming a fuzzy-based AHP model for solving selection, prioritization, and decision-making problems.…”

Section: Criteria Weight Assessment Methodsmentioning

confidence: 99%

A subjective and objective fuzzy-based analytical hierarchy process model for prioritization of lean product development practices

Aikhuele¹,

Turan²

2017

10.5267/j.msl

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In this paper, a subjective and objective fuzzy-based Analytical Hierarchy Process (AHP) model is proposed. The model which is based on a newly defined evaluation matrix replaces the fuzzy comparison matrix (FCM) in the traditional fuzzy AHP model, which has been found ineffective and time-consuming when criteria/alternatives are increased. The main advantage of the new model is that it is straightforward and completely eliminates the repetitive adjustment of data that is common with the FCM in traditional AHP model. The model reduces the complete dependency on human judgment in prioritization assessment since the weights values are solved automatically using the evaluation matrix and the modified priority weight formula in the proposed model. By virtue of a numerical case study, the model is successfully applied in the determination of the implementation priorities of lean practices for a product development environment and compared with similar computational methods in the literature.

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Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section

Cited by 11 publications

References 16 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

A Review on Design of Sustainable Advanced Materials by Using Artificial Intelligence

A subjective and objective fuzzy-based analytical hierarchy process model for prioritization of lean product development practices

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