Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution

Biswas, Sumana; Ali, Ismail; Chakrabortty, Ripon K.; Turan, Hasan Hüseyin; Elsawah, Sondoss; Ryan, Michael J.

doi:10.1016/j.techfore.2022.121549

Cited by 12 publications

(6 citation statements)

References 67 publications

(91 reference statements)

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“…As shown in Figure 4 , assessors must promote the development of teaching quality examination in universities and colleges to improve the accuracy of results, evaluate the teaching quality according to the teaching requirements, and take appropriate safeguards to improve the effectiveness of college English teaching evaluation [ 16 ].…”

Section: Basic Concepts Of Fuzzy Nn and The Study Of English Evaluati...mentioning

confidence: 99%

A Study of College Teachers’ English Teaching Quality Based on Fuzzy Neural Network

Chen

2022

Computational Intelligence and Neuroscience

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In many universities and colleges, the government is now paying more attention to the quality of teaching assessment, and research on English teaching quality evaluation is becoming increasingly significant. The goal of this paper is to investigate how to use a fuzzy neural network to assess the quality of English education. The research of the model NN and the evaluation of the quality of English teaching is detailed first. A fuzzy NN is an algorithm that examines the quality of English instruction evaluation using fuzzy criteria. In the case results, the data show that the previous evaluation of quality teaching is between the intermediate and the intermediate level, while the research on the evaluation quality of English teaching based on fuzzy NN shows that the evaluation quality is between the intermediate and the advanced level. Therefore, the combination of Fuzzy Rules (FR) and NN methods can effectively improve the quality of college teachers’ English teaching evaluation. In college English teaching, FRs can simplify the analysis steps of evaluation of quality teaching, accurately judge the quality of college English teaching evaluation, and provide support for the improvement of evaluation of quality teaching.

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Section: Basic Concepts Of Fuzzy Nn and The Study Of English Evaluati...mentioning

confidence: 99%

A Study of College Teachers’ English Teaching Quality Based on Fuzzy Neural Network

Chen

2022

Computational Intelligence and Neuroscience

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“…Cultural experiences in products are entertaining, educational, aesthetic, and creative. Entertainment refers to the relaxation of the consumer during the experience, which is an enjoyable experience; education refers to the knowledge gained during the experience, such as understanding the shape and meaning of pottery, and the production process of pottery; aesthetics refers to the pleasure of the consumer immersed in the environment of something; creativity refers to the ability to create a product that is unique and based on a personal experience [ 9 – 13 ]. In this paper, an interactive color scheme design method for cultural creative products based on triangular fuzzy number is proposed.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic-Based Machine Learning Algorithm for Cultural and Creative Product Design

Lan

2022

Computational Intelligence and Neuroscience

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In order to effectively assist industrial designers in the color scheme design of cultural and creative products and output color schemes that meet users’ image preferences, an interactive color scheme design method for cultural and creative products based on triangular fuzzy number is proposed. Through the group consistency decision based on triangular fuzzy number, an interactive genetic evolution of the color scheme population of cultural and creative products is performed to generate color schemes that satisfy the group consistency imagery preference and satisfaction, and the final selection scheme is calculated by color beauty. This paper verifies that the method can effectively integrate the imagery preferences of group users and help industrial designers to better design color schemes for cultural and creative products through the results of multiuser decision consistency.

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“…In this case study, all existing iPhone models at the time this study was conducted (Feb 22-Aug 22) were analysed (15 generations and 34 variants). To structure the case study, the existing evolutionary graph of Biswas et al (2022) was extended to include the iPhone models 12, 13 and SE and divided into 15 product generations with associated variants. Second, a structural system model with eleven subsystems for a consistent analysis with the model of SGE was defined.…”

Section: Methodsmentioning

confidence: 99%

“…Multiple studies with different focuses have examined the iPhone. Biswas et al (2022) focused on realizing the pattern of product family evolution along with a proper estimation for future products. Li et al (2022) focused on uncovering the evolution characteristics of product structural properties and concluded that the complexity of a product is decreasing while core components (e.g.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Perspective on System Generation Engineering by the Example of the Iphone

Pfaff,

Götz,

Rapp

et al. 2023

Proc. Des. Soc.

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Industrial practice shows that products are developed in generations. Innovation success with complex technical systems can only be achieved economically by using existing solutions as references. These references come from predecessors, competitors, and even industry-external sources. The model of SGE – System Generation Engineering describes these relationships. The iPhone is often used as an example of an innovative product developed in generations. Multiple studies have examined the iPhone. However, none of these studies systematically considers the influence of the product context on references and variations. In this contribution, an evolutionary descriptive model based on the model of SGE is applied to 15 iPhone product generations. The central result is an overview of the variation shares over the generations and the relationships between context factors, reference-based variation activities, and innovation success and hypotheses for causalities. This is one of a series of case studies to investigate these causalities. The study showed how the iPhone remained successful in its context: not through a high new development share, but through strategically placed variations and the use of references from various sources.

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Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution

Cited by 12 publications

References 67 publications

A Study of College Teachers’ English Teaching Quality Based on Fuzzy Neural Network

A Study of College Teachers’ English Teaching Quality Based on Fuzzy Neural Network

Fuzzy Logic-Based Machine Learning Algorithm for Cultural and Creative Product Design

Evolutionary Perspective on System Generation Engineering by the Example of the Iphone

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