Integrating fuzzy Kano model and fuzzy analytic hierarchy process to evaluate requirements of smart manufacturing systems

Qu, Yuanju; Ming, Xinguo; Qiu, Siqi; Liu, Zhiwen; Zhang, Xianyu; Hou, Zhufeng

doi:10.1177/1063293x19845137

Cited by 12 publications

(9 citation statements)

References 37 publications

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“…The interval number has efficient and straightforward description characteristics, and its operation rules are generally similar to those of sets. The interval number can be used to calculate the superiority degree of service to meet the task more accurately (Qu et al, 2019). The basic concept is as follows (Ðurić et al, 2019; Fan et al, 2020):…”

Section: Related Conceptsmentioning

confidence: 99%

A discrete manufacturing SCOS framework based on functional interval parameters and fuzzy QoS attributes using moving window FPA

Gao

Yan

Guo

2021

Concurrent Engineering

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Manufacturing service composition and optimal selection (SCOS) is a key technology that improves resource utilization and reduces the cost in discrete manufacturing. However, the lack of evaluation of the service composition function and the unconformity of the actual composition vague characteristics, resulting in the incomplete evaluation of the service composition. Additionally, various optimization and selection algorithms have defects of premature convergence and low efficiency. At the same time, the fitness value distribution of the service composition has a non-linear characteristic. In this article, a framework called discrete manufacturing SCOS (DMSCOS) is proposed to overcome these issues. DMSCOS uses the functional interval parameter and fuzzy QoS attribute aware evaluation model (FIPFQA) to achieve composition evaluation and introduces a moving window flower pollination algorithm (MWFPA) to achieve optimization and selection for the non-linear characteristic population. Experiments show that DMSCOS has good performance for optimization and selection. The FIPFQA has a good effect on service composition evaluation. Furthermore, compared with two other extended algorithms, the proposed MWFPA performs better when addressing the optimal and selection problem.

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Section: Related Conceptsmentioning

confidence: 99%

A discrete manufacturing SCOS framework based on functional interval parameters and fuzzy QoS attributes using moving window FPA

Gao

Yan

Guo

2021

Concurrent Engineering

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“…Rojas and Rauch (2019) develop a conceptual basis of application of digital tools for intellectual management of production. Qu et al (2019a,b) offer integrating the model of fuzzy sets and the process of fuzzy analytical hierarchy for evaluating the requirements of the system of intellectual production.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Rossit et al (2019) offer a new approach to planning of intellectual production based on big data management. Qu et al (2019a,b) determine the integrated structure of corporate information systems in intellectual production systems and offer implementing it through reengineering of business processes. Hsiao and Chen (2019) provide recommendations for the network analysis of joint cyber-physical multi-agent intellectual production systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Competition between human and artificial intellectual capital in production and distribution in Industry 4.0

Gashenko

Khakhonova

Orobinskaya

et al. 2020

JIC

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PurposeThe purpose of the research is to study the consequences of total (comprehensive) automatization of entrepreneurship for interested parties through the prism of competition human and artificial intellectual capital in production and distribution in Industry 4.0.Design/methodology/approachThe research is conducted with application of scenario analysis, regression analysis, imitation modeling, forecasting and non-linear multi-parametric optimization with the simplex method.FindingsThe authors perform scenario modeling of competition between human and artificial intellectual capital in production and distribution in Industry 4.0 and offer recommendations for pro-active management of competition between human and artificial intellectual capital in production and distribution in Industry 4.0.Originality/valueContrary to the existing approach to studying competition between human and artificial intellectual capital in Industry 4.0, automatization of distribution, not production, is most preferable. This shows increase of the value of human intellectual capital in distribution during its automatization based on AI. This is an unprecedented and breakthrough conclusion for the modern economic science. It allows creating a completely new direction of research of competition between human and artificial intellectual capital in production and distribution in Industry 4.0, in which optimization of social consequences is achieved not by means of restraint of automatization but by means of its stimulation. The key condition is stimulation of automatization of distribution with limited automatization of production. Based on this conclusion, it is recommended to continue research in continuation of the presented work.

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“…There exist various types of membership functions in a fuzzy logic system. In this study, triangular membership function is chosen because it is simple to calculate, and can adequately express multiple linguistic variables (Qu et al, 2019). The rule base comprising a set of ifthen fuzzy rules is formulated to describe the inference relationship between the inputs and the output.…”

Section: Grey-fuzzy-based Analysismentioning

confidence: 99%

Multi-objective optimisation of user experience in mobile application design via a grey-fuzzy-based Taguchi approach

Zhu

2020

Concurrent Engineering

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User experience is a key quality of mobile application design. It involves all aspects of human–computer interactions, and thus the optimisation of user experience is a multi-objective optimisation problem. User experience is subjective and uncertain; however, very little attention has been directed toward this issue when optimising user experience. In this article, a grey-fuzzy-based Taguchi approach is proposed to optimise user experience in mobile application design. Design analysis is first conducted to determine mobile design patterns and user experience characteristics. Next, a Taguchi experiment is executed, and then the signal-to-noise ratios are computed. After that, the signal-to-noise ratios are transformed into a multi-response performance index via a grey-fuzzy-based analysis. Finally, based on the multi-response performance index, the optimal design is achieved by using statistical analysis. A mobile health application design was employed to illustrate the proposed approach. The results indicate that this approach can effectively manage the subjectivity and uncertainty concerning user experience characteristics, and can be used as a general robust design approach for optimising user experience of mobile application design.

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Integrating fuzzy Kano model and fuzzy analytic hierarchy process to evaluate requirements of smart manufacturing systems

Cited by 12 publications

References 37 publications

A discrete manufacturing SCOS framework based on functional interval parameters and fuzzy QoS attributes using moving window FPA

A discrete manufacturing SCOS framework based on functional interval parameters and fuzzy QoS attributes using moving window FPA

Competition between human and artificial intellectual capital in production and distribution in Industry 4.0

Multi-objective optimisation of user experience in mobile application design via a grey-fuzzy-based Taguchi approach

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