Product Design Method Research Articles

Application of quality function deployment (QFD) and axiomatic design method for product design: study case compost waste product

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Cultural Creative Product Design Methods under the Path of User Empathy

Abstract As consumption upgrades, China’s cultural and creative industry is experiencing rapid growth. However, user empathy remains lacking in some products. This paper explores a design method for these products based on empathy theory. It employs the TF-IDF algorithm to extract semantic features from product texts and uses the SVM algorithm for classification. Post-classification, the LDA theme model analyzes sentiment, integrating both visual and semantic models to enhance product design. An analysis of cultural and creative products using data analysis software reveals that approximately 79.5% of user comments exhibit positive sentiment, with an average sentiment score of 2.9218 and a peak score of 39.1363. This suggests strong positive emotional responses from nearly 80% of users. The proposed method effectively enhances user-product interaction and empathy.

Traditional Cultural and Creative Product Design Methods Combining Digital Art Elements

Abstract As a mode of perpetuating and revitalizing traditional culture, cultural and creative products have garnered widespread affection and recognition from the public. In the context of evolving societal trends and advancements in science and technology, the digitization of traditional cultural and creative products has emerged as a prominent trend. This study undertakes the digital design of these products, primarily focusing on the innovative application of a style transfer algorithm to traditional motifs, supplemented by their visualization through digital platforms such as augmented reality (AR) and virtual reality (VR). Furthermore, it facilitates intelligent consumer interaction via gesture recognition algorithms, thereby enhancing user engagement and experience. During the implementation phase, this research conducts comparative analyses of style transfer and gesture recognition within digital cultural and creative products. It also employs the Kano questionnaire to categorize and analyze user needs effectively. Notably, while the recall rate of the style transfer algorithm documented in this study remains below 0.9, it consistently achieves high precision, significantly enhances feature extraction capabilities, and improves the quality of the style transfer effects produced. Moreover, the static gesture recognition algorithm achieves an impressive average recognition rate of 98.2%. The dynamic gesture recognition algorithm, meanwhile, maintains an average recognition rate of 94% with a processing time of 3.2 seconds, balancing the demands of real-time interaction and accuracy effectively. This study systematically analyzes the significance of each requirement element across six dimensions, classifying customer needs for digital cultural and creative products into four distinct categories. Additionally, it delineates a viable pathway for the integration of digital art elements into the design of artistic and innovative products, setting a foundation for future innovations in this field.

RETRACTION: Cultural and Creative Product Design Method Based on the Fusion of 5G Technology and Traditional Metal Craftsmanship

RETRACTION: Cultural and Creative Product Design Method Based on the Fusion of 5G Technology and Traditional Metal Craftsmanship

Application and Optimization of Multimodal Information Communication in Cultural and Creative Products in the New Media Era

Abstract As one of the most important parts of today’s cultural industry products, the design and presentation form of cultural and creative products have been optimized with the development of new media technology. Based on the multimodal theory, the study constructs a system of cultural and creative products using graph neural networks, attention mechanisms, knowledge maps, and other cultural and creative product design methods. The cultural representation evaluation system of cultural and creative products is constructed using the hierarchical analysis method, and the cultural and creative products designed by the model of this paper are evaluated. Analyze the color of cultural and creative products to examine the performance of this paper’s model on color. By analyzing the user experience score of cultural and creative products, the design effect of this paper’s model is explored. In the evaluation index system of cultural representation of cultural and creative products, the largest proportion of the weight of the criterion layer is the external level (54.68%), and the evaluation index with the largest comprehensive weight is the pattern (27.08%). The cultural and creative products designed by the model of this paper have the largest weight proportion of the value to be modified in pattern and material, which are 36.63% and 24.15%, respectively. The mean value of each of the chromaticity analyses is less than 2, and the mean value of the total color difference is less than 3, indicating that the color performance of the cultural and creative products designed by the model of this paper is excellent. The overall scores of the four types of cultural and creative products designed by the model of this paper are between 3.92 and 4.04 in terms of user experience, and the user experience is better.

Personalized tourism product design focused on tourist expectations and online reviews: An integrated MCDM method

The key to the success of tourism product design is meeting the personalized demand of consumers. This study aims to develop a personalized travel product design method that considers tourist expectations and online reviews. The method has three stages: (1) Obtaining tourist expectations of different tourism product attributes. A multi-objective optimization model is constructed to maximize tourist expectation, minimize non-traveling time, and minimize monetary cost. The non-dominated sorting genetic algorithm with an elite strategy (NSGA-II) is used to solve the model, and the obtained Pareto optimality is regarded as the set of alternative tourism products. (2) Extracting similar tourism products and their online reviews from multiple tourism websites. Tourists’ perceived value of similar tourism products is calculated through the Convolutional Neural Network (CNN). (3) Calculating customer’s expected perceived value of each alternative tourism product based on the Case-Based Decision Theory (CBDT). The optimal personalized tourism product is selected based on the customer’s expected perceived value. Finally, a case study of personalized tourism product design for a company’s group travel is given. The result indicates that the proposed method can provide a new approach for tourism companies to design personalized tourism products that meet customer demands.

Retracted: Text Knowledge Acquisition Method of Collaborative Product Design Based on Genetic Algorithm

Retracted: Text Knowledge Acquisition Method of Collaborative Product Design Based on Genetic Algorithm

Barriers to sustainable and circular product design – A theoretical and empirical prioritisation in the European automotive industry

Despite the increasing availability of tools and methods for sustainable and circular product design (DfS), their uptake in practice is slow. This is also true in the automotive industry, where DfS is an important measure for addressing the industry's negative environmental and social impacts. To facilitate DfS implementation, this paper uses an analytic hierarchy process (AHP) and offers, for the first time, a classification and prioritisation of the barriers that need to be overcome when implementing DfS into vehicle development processes. Based on a systematic literature review and on an expert workshop, the top 15 DfS barrier factors were derived and divided equally into five groups, following a multi-level structure. These factors and groups formed the input for a survey-based analytic hierarchy process with 38 European industry experts. The results show that strategic issues are the most important barriers, followed by the group of operational, personal, external, and tool-related barriers. Among the 15 barrier factors identified, the top five were (1) an unclear link to profitability, (2) lack of top management support, (3) difficulties in handling trade-offs, (4) high operational costs, and (5) a lack of integration of DfS into corporate strategy. The results indicate that while external constraints already exert pressure on automotive companies, they still face particular challenges when attempting to integrate sustainability into corporate strategies and in transferring such strategies to DfS activities at the operational level. The study results may be used to inform managerial policy and further research.

Utilizing Craft Techniques in Zero Waste Fashion Design Clothing

The role of research in design is to develop the potential that drives the creation of novel value in design. In the research process for design, the majority of designer-students have difficulties in determining the starting point or initial idea of a design, so they have the potential not to have a train of thought regarding what needs to be done in realizing the design and do not know the next process. One aspect that can enrich design ideas and novelty in fashion products is the application of craft techniques. With the application of craft techniques, the data and facts obtained become increasingly massive. So that the series of ideas-research-design requires a clear mapping of the flow of thinking in the creative process. Today's student-designers cannot be limited to just one research method, knowing that conceptual ideas can start from anywhere, such as design concept ideas that start from craft techniques in a linear mapping flow. This can be a reference regarding the linear flow of ideas-research-design that is carried out in zero waste fashion design to find out its potential, especially in the application of craft techniques. This research was conducted qualitatively by reviewing literature data and looking at examples of case studies from the student-designer work process using the linear method. Observations are made periodically for students who have designed the application of craft techniques to zero waste fashion design, to become research subjects and find out their creative process. The result of this study is an analysis of fashion product design methods with the application of craft techniques that have been carried out in a linear way of thinking as a reference for designers in producing innovative works.

A circularity engineering focused empirical status quo analysis of automotive remanufacturing processes

Research on circular economy is mainly based on assumptions and secondary data. This lack of empiricism is also reflected in the theory of circular process design and design for remanufacturing. In this work engineering data on seven remanufacturing processes in the European automotive remanufacturing industry is systematically empirically collected and analyzed for the first time. The findings include manufacturing technology, the number of process steps, functions, machinery, retooling, customization, flexibility, automation, digitalization, and integration of every generic remanufacturing process step, as well as their work intensity. The in-depth empirical process data presented proves useful for the systematic identification of circularity engineering challenges, potentials, and solutions including design for remanufacturing. Larger datasets on value-retention processes can pave the way toward empirically backed-up methods for circular product design, process design, and material selection in the future.

Design of an Intelligent Algorithm for Rural Antique Ceramic Bottom Pattern

The style of ancient ceramics has always been one of the most important factors affecting the sales of antique ceramic products. Although it has certain rules, due to the complexity of current product design and the limitations of designers in the design process, intelligent algorithms are needed to assist in design. In response to the diversity of intelligent design solutions for antique ceramic products, this paper proposes a research method for antique ceramic product design based on AGCGAN. Combining with the universal links in the process of intelligent product design, a generative adversarial network is used to learn the rules of excellent product design samples, and the generator generation scheme is obtained. Then, through the constructed design scheme filter, the generation scheme is filtered according to the requirements, and a design scheme generation system with certain reference value is constructed.

Endotracheal Cuff System Performance Enhancement through Product Design and Development Methodologies

Rapid prototyping (RP) is a popular method for product development and design in medical industries. Endotracheal tube (ETT) incubation is a common problem when using medical equipment. Among the difficulties that surgeons face during surgical procedures are the misinsertion of an endotracheal tube into the oesophagus and extubation due to the patient's limited mobility. The aim of this work is to design an innovative endotracheal tube holding model. The survey was carried out in order to identify the most common ETT problems. As a result, quality functional deployment and product design and development methodologies were utilised to select the design for all of the ideas, which were designed based on the demands indicated by the consumers. The concept score matrix was used to evaluate the designs. As a result, concept A is selected as the final design. The overall score for each concept was calculated to discover which concept has the highest rating. Based on the results of the concept scoring and concept screening, concept A is the most likely to be produced. The concept meets the most demanding needs of the users. The selected design was then created on the Fused Deposition Modelling (FDM) machine.

Testability design of power distribution system considering noise immunity characteristics

MOSFET-based power electronics systems have high-reliability requirements, and a high-accuracy fault diagnosis method is necessary. However, imperfect conditions such as severe signal noise and poor consistency exist in actual products. Conventional fault diagnosis methods are difficult to identify faults accurately. This paper describes a simulation-based testability design method for batch products considering noise immunity. First, the components' soft and hard fault models are determined with failure mode and effect analysis (FMEA), and the circuit simulation model is constructed. Then, the fault injection simulation is performed to structure the dependency matrix. The test points scheme is selected and optimized by extracting noise immunity characteristics of different types of signals. Finally, a power distribution system is taken as a case study for the testability design method, and the effectiveness of the test points is evaluated through simulation and experiment verification.

An acoustic design project for final year engineering students using resonant arrays

This paper reviews the creation of a design course for mechanical engineering students at the University of Auckland. The primary objective of the course is to introduce students to the field of acoustics, teaching basic theoretical and experimental acoustics principles, together with product design and fabrication methods, in an engaging and educational manner. During the course, students were assigned the task of developing a noise reduction duct jacket that reduced sound propagation whilst allowing free airflow, all within specified dimensions. Students were required to create designs that attenuated a predefined sound spectrum, with both narrow-band and wide-band components. Over six weeks students developed their designs using mathematical modelling and fabricated their prototypes. The performance of their suppressors was assessed through sound pressure level and impedance tube transmission loss measurements. Students then modified their designs to maximise performance before final submission. Four-person teams produced a diverse range of implementations. The most successful designs achieved impressive performance with peak transmission loss up to 70dB, 2kHz bandwidths of 10 + dB transmission loss and a delta dBA reduction of 21.5 dB. Student feedback indicates a high level of satisfaction with the course, highlighting its effectiveness in imparting key knowledge and skills in acoustics engineering.

Customized Design for Ergonomic Products via Additive Manufacturing Considering Joint Biomechanics

This paper presents a customized design method for ergonomic products via additive manufacturing (AM) considering joint biomechanics. An ergonomic customized design model can be built based on kinesiology involving human joint biomechanics. Manifolds of the human bone can be reconstructed from X-rays, computed tomography (CT), magnetic resonance imaging (MRI), and direct 3D scanning. The conceptual and detailed design of customized products were implemented on ergonomic shoes and insoles. A lightweight lattice structure with variable porosity was generated via structural topology optimization for an ergonomic customized design. Notably, the upper surface of the custom-made insole may adhere perfectly to the plantar surface of the patient, resulting in a lower peak plantar pressure. Finite element analysis (FEA) can be employed to simulate the static or dynamic biomechanical characteristics. The conceptual ergonomic products were forwarded to the machine and fabricated via AM, driven by visual digital twin techniques. The experiments proved that a customized design suitability method for wearable ergonomic products via 3D printing is specifically tailored to the rehabilitation needs of individual customers, while consuming the least cost, time, and materials.

Measuring the Impact of ChatGPT on Fostering Concept Generation in Innovative Product Design

The growing demand for innovative and user-centric product design has led to a growing need for effective idea generation methods. In recent years, natural language processing (NLP) tools such as ChatGPT have emerged as a promising solution for supporting idea generation in various domains. This paper investigates a framework for studying the role of ChatGPT in facilitating the ideation process in product design. This investigation measures the impact of ChatGPT on the generation of innovative concepts compared to the use of “classic” design methods. An overview of the state-of-the-art idea generation methods in product design opens the paper. Then, the paper highlights some hypotheses about the impact of ChatGPT on innovative product design, aiming for product augmentation by adding features. The paper then describes the design experience in which ChatGPT is used as a tool for concept generation. Finally, the paper analyzes the dataset, using precise metrics to characterize the participants’ performance and compare them. This analysis allows the paper to argue about the validation/rejection of the hypotheses. The paper concludes with a discussion of the implications of the findings and some suggestions for future research. Along with the paper, the Microsoft Excel workbook used to perform the data analysis is available to the readers to perform their own data collection and analysis. The workbook UX has been carefully studied and developed to make it usable by anyone. At the same time, it should be flexible enough to manage several situations characterized by different numbers of participants, product functions to implement, and generated concepts.

Big Data and AI-Driven Product Design: A Survey

As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due to their strong subjectivity, limited survey scope, lack of real-time data, and poor visual display. However, recent progress in big data and artificial intelligence (AI) are bringing a transformative big data and AI-driven product design methodology with a significant impact on many industries. Big data in the product lifecycle contains valuable information, such as customer preferences, market demands, product evaluation, and visual display: online product reviews reflect customer evaluations and requirements, while product images contain shape, color, and texture information that can inspire designers to quickly generate initial design schemes or even new product images. This survey provides a comprehensive review of big data and AI-driven product design, focusing on how big data of various modalities can be processed, analyzed, and exploited to aid product design using AI algorithms. It identifies the limitations of traditional product design methods and shows how textual, image, audio, and video data in product design cycles can be utilized to achieve much more intelligent product design. We finally discuss the major deficiencies of existing data-driven product design studies and outline promising future research directions and opportunities, aiming to draw increasing attention to modern AI-driven product design.

A Bibliometric Analysis of Sustainable Product Design Methods from 1999 to 2022: Trends, Progress, and Disparities between China and the Rest of the World

Effective product design strategies play a crucial role in promoting sustainable production, consumption, and disposal practices. In the literature, many such practices have been proposed by various researchers; however, it is challenging to understand which is more effective from the design point of view. This study employs bibliometric analysis and visualization software, CiteSpace, to comprehensively assess the literature on sustainable product design methods (SPDMs) from two major citation databases, namely, China National Knowledge Infrastructure and Web of Science, covering the period between 1999 and 2022. The objective of this review is to identify the latest research trends, progress, and disparities between China and the rest of the world in the field of SPDMs. The findings reveal that the development of SPDMs is characterized by a combination of multi-method integration and expansion, as well as qualitative and quantitative hybrids. However, research processes differ between China and other countries. Chinese studies focus on digital-driven development, rural revitalization, and system design, while research from other countries emphasizes a circular economy, distribution, additive manufacturing, and artificial intelligence. Nevertheless, both Chinese and international studies lack quantitative research methods in relation to socio-cultural sustainability. Future research should aim to deepen sustainable design methods and standards for specialized products, as well as to incorporate quantitative methods that address cultural and social sustainability dimensions. Open-source and shared SPDMs should be encouraged to promote methodological innovation that prioritizes multidimensional and systematic sustainable benefits, leveraging the strengths of new technologies.

ANDROID-BASED DISTRICT E-GOVERNMENT APPLICATION MODEL UI/UX PROTOTYPE USING DESIGN THINKING METHOD

The positive impact of rapid technological developments is widely felt in various aspects of human life. One example is improving the quality of public services at sub-district offices through the use of appropriate technology. E-Government is a new development in an effort to improve information and communication technology-based public services. This aims to make public services more transparent, accountable, effective and efficient. The E-Government application in this sub-district office requires a UI/UX design prototype model to help ease users in accessing the application. This study aims to design a UI/UX design prototype model in the sub-district office using design thinking. Researchers will analyze the problems faced by sub-districts in providing e-government services to the community, and develop a prototyping model of e-government applications that can provide a solution to the problem. The design thinking method will be used in the development of the prototype model. The Design Thinking method is an innovation-based software product design method that is based on finding solutions to solve certain problems. After successfully finding and understanding the problems found. The results of this report will later display a prototype in the form of an e-government website design that has been made. The Design Thinking method is an innovation-based software product design method that is based on finding solutions to solve certain problems. After successfully finding and understanding the problems found. The results of this report will later display a prototype in the form of an e-government website design that has been made. The Design Thinking method is an innovation-based software product design method that is based on finding solutions to solve certain problems. After successfully finding and understanding the problems found. The results of this report will later display a prototype in the form of an e-government website design that has been made.

Designing Novel, Valuable, and Marketable Products from Waste Sedge Plant Fiber Residues

Purpose: The purpose of this study is to examine how discarded sedge plant fibers can be converted into new market-oriented products through product design and development. 
 
 Theoretical framework: The product design and development method, researchers work directly with the community as partners to experiment with materials using simple technology and design prototypes. The goods were then evaluated for market viability and SWOT to determine if they met market demands. These techniques target novel, collaborative, value-added, and waste goods.
 
 Design/Methodology/Approach: The mixed-methods case study followed Community-Based Participatory Research (CBPR). Market assessments provided quantitative data. The community business served 140 Baby Boomers and Gen Z customers, ages 20–50, and sampled 103 consumers. The data collection instruments included site surveys, interviews, focus groups, experiments, recordkeeping, surveys, and SWOT analysis.
 
 Findings: This study identifies uniquely developed products that are ecologically conscious and reduce global impacts. The value of waste sedge plant fibers from the production of reed mats can be added, redesigned, and developed into marketable products. The two prototypes (the Bannock basket and the berry basket) met market demand in terms of material suitability, uniqueness and attractiveness, competitive price, commercial possibilities, exquisiteness, and utility. The SWOT analysis revealed potential marketing opportunities for the developed products. 
 
 Research, practical and social implications: The study reveals these significant implications. Practically, this study offers alternatives to traditional methods that can be used to overcome the current economic and environmental barriers to reducing waste and getting more value out of it. Conceptually and methodologically, it offers a technique to rebuild the framework of product design and development from waste sedge plant fiber remnants into new, value-added, and market-oriented products. Socially, this study yields the production process knowledge transfer to community levels nationwide. Economically, the developed products implicate viability of community-level OTOP establishments nationally.
 
 Originality/Value: This is the first time that the waste sedge plant fibers from the production of reed mats have been designed and developed into marketable products. This research is part of a paradigm shift in redesigned product design and development that is critical for the economic and environmental sustainability of communities.