Innovative Product Design Research Articles

Group Decision Making for Product Innovation Based on PZB Model in Fuzzy Environment: A Case from New-Energy Storage Innovation Design

According to the World Economic Forum, countries and regions should steer their energy systems toward cheaper, safer, and more sustainable energy sources, and move away from their reliance on traditional energy sources. With this trend, it is significant that new-energy battery enterprises should not only maintain their current installed product, but also attract more consumers. Due to the differences in customers, there are different requirements for the products. Thus, this paper chooses new-energy storage product innovation design as the object, and proposes a novel multiagent group decision-making method based on QFD and PZB models in a fuzzy environment. Firstly, extensively collected multiagent (consumer and designer) requirements are transformed into specific functions through an extended multiagent QFD with HFLTS, and the relationship coefficients are derived. Afterward, different design schemes for functional components are evaluated according to the concept of the PZB model. Then, the satisfaction degree interval is calculated for each partial design. On the basis of these indicators, a multiagent multi-objective optimization model is established. Afterward, solving he model through NSGA-II quickly generates the most suitable product innovation design scheme. Lastly, the feasibility and superiority of proposed method are illustrated through innovation design for a new-energy storage battery.

Design of distributed hybrid electric tractor based on axiomatic design and Extenics

Led by the goals of energy saving and low emissions, tractors need more efficient operations under complex farmland working environments. The powertrain architecture of the tractor has a significant influence on the performance. Therefore, the research on the innovative design of the tractor powertrain architecture can improve the efficiency, energy saving, and environmental protection effects. Based on the creative design method of Axiomatic Design (AD) and Extenics, this paper conducts an innovative design analysis of the powertrain architecture of distributed hybrid electric tractor (DHET). Firstly, AD is used to perform the hierarchical analysis of the tractor powertrain architecture design. Then according to the design content, the design matrix (DM) is established, and the matrix is transformed to extract the 3 × 3 coupling contradiction matrix. Finally, the application of Extenics solves the contradictions in the innovative design of the tractor powertrain architecture. Simulation and prototype experiments have proved that DHET has the advantages of energy saving and emission reduction. This paper analyzes the innovative design of DHET's powertrain architecture, which can provide a theoretical basis and method support for the product's innovative design.

Design Innovation of Ethnic Cultural Wisdom Tourism Products Based on Digital Information Technology

With the improvement of people’s living standards, ethnic tourism has begun to develop in an all-round way, and correspondingly, ethnic cultural products have become more and more dazzling. However, the current tourists’ satisfaction with ethnic cultural tourism products is generally low, so the innovative design of tourism products is an important means to improve the satisfaction of tourism products. The purpose of this paper was to use digital information technology to study the innovation of national cultural wisdom tourism product design and to optimize tourism products. This paper first expounded the experiential design of ethnic cultural tourism products which applies the TEAR theory, and the ASEB grid analysis introduced the four factors of theme, environment, activity, and reaction, analyzed the experience of tourism from the perspective of tourists, then introduced the extraction and development process of digital information technology, and then built a three-dimensional digital model of ethnic cultural tourism product design to lay a solid foundation for product design. In addition, this paper took the development of ethnic cultural tourism products in Yunnan ethnic villages as a case to investigate and analyze the tourist market and tourist needs and finally put forward some product design ideas and suggestions. Through the research and analysis of tourists, it is found that there are more young and middle-aged tourists in Yunnan ethnic villages, and most of them travel with their families. According to the survey of tourists’ preferences, more than 80% of tourists like high-quality and low-cost tourism products, and nearly 50% of tourists want to gain a thinking experience in tourist attractions. The most popular forms of tourists were ethnic art and traditional culture. Therefore, designers can design tourism products according to the preferences of tourists and improve the satisfaction of tourism products.

Amazing Fungi for Eco-Friendly Composite Materials: A Comprehensive Review.

The continually expanding use of plastic throughout our world, along with the considerable increase in agricultural productivity, has resulted in a worrying increase in global waste and related environmental problems. The reuse and replacement of plastic with biomaterials, as well as the recycling of agricultural waste, are key components of a strategy to reduce plastic waste. Agricultural waste is characterized as lignocellulosic materials that mainly consist of cellulose, hemicellulose, and lignin. Saprobe fungi are able to convert agricultural waste into nutrients for their own growth and to facilitate the creation of mycelium-based composites (MBC) through bio-fabrication processes. Remarkably, different fungal species, substrates, and pressing and drying methods have resulted in varying chemical, mechanical, physical, and biological properties of the resulting composites that ultimately vary the functional aspects of the finished MBC. Over the last two decades, several innovative designs have produced a variety of MBC that can be applied across a range of industrial uses including in packaging and in the manufacturing of household items, furniture, and building materials that can replace foams, plastics, and wood products. Materials developed from MBC can be considered highly functional materials that offer renewable and biodegradable benefits as promising alternatives. Therefore, a better understanding of the beneficial properties of MBC is crucial for their potential applications in a variety of fields. Here, we have conducted a brief review of the current findings of relevant studies through an overview of recently published literature on MBC production and the physical, mechanical, chemical, and biological properties of these composites for use in innovative architecture, construction, and product designs. The advantages and disadvantages of various applications of mycelium-based materials (MBM) in various fields have been summarized. Finally, patent trends involving the use of MBM as a new and sustainable biomaterial have also been reviewed. The resulting knowledge can be used by researchers to develop and apply MBC in the form of eco-friendly materials in the future.

Big Data-Driven Product Innovation Design Modeling and System Construction Method

In order to improve the image quality of innovative design of manufacturing products, reduce the dependence on experts, increase the amount of research data, and accurately sort and select the best alternatives, this paper proposes the KENPI method, which integrates perceptual engineering and neural style transfer, normalizes the content map through nm model, realizes style transfer, and generates new product images. Use ORDD perceptual engineering to collect a large number of perceptual word data, establish product semantic space, use TF-EPA to obtain perceptual words, and use word clustering combined with degree adverbs to evaluate the sensibility of products. Under the KE-GRA-TOPSIS method, considering user preferences, accurately sort and select the product design alternatives with multiple criteria, and establish the auxiliary system of product innovative design. The experimental results show that the style transfer effect of nm model is better, the style intensity of the product is enhanced, and the average texture evaluation of sample 3 is increased by 0.30 points. The average absolute value of DOD phrase in BP neural network is 0.0765, which is lower than the MLR method, and the performance of the former is better than the latter. The relative closeness of A6 scheme under KE-GRA-TOPSIS method is 0.57, which is 0.02 higher than the KT method, indicating that the KE-GRA-TOPSIS method is better than the KT method. The research improves the way of obtaining user demand data, enhances the strength of and product style, and improves the competitiveness of products.

Aided innovative design of bathroom products based on artificial intelligence technology

Artificial intelligence technology, mainly refers to strengthening the artificial way, so as to combine computer technology with product design. Firstly, the auxiliary innovation of bathroom products based on artificial intelligence technology is proposed, then the user characteristics are analysed, and the auxiliary design framework of bathroom products is designed. Finally, the innovation model is established to realise the auxiliary innovation design of bathroom products. Experimental results show that the proposed method can effectively improve the interaction efficiency and response time, and reduce the false response.

Cultural and Creative Product Design and Image Recognition Based on the Convolutional Neural Network Model.

The development in technology has resulted in the utilization of artificial intelligence systems in various fields. In this research, we are going to study cultural and creative product design and image recognition based on a convolutional neural network (CNN) model. A convolutional neural network is referred to as a type of artificial neural network (ANN) that is used to analyze visual images. Our proposed system deploys a convolutional neural network model for image recognition in the field of cultural and creative product design. Cultural and creative products are becoming more popular these days. The cultural and creative products are referred to as innovative products or innovative new product design which makes use of the cultural symbols and other cultural factors in their design. In simple words, it is the integration of culture and creativity in a new product design. The main aspect of cultural creative products is the incorporation of cultural features into a new product, thus obtaining a creative- and culture-based product. The study results have proved that CNN has provided an accuracy of 87%.

Innovative Design of Artificial Intelligence in Intangible Cultural Heritage

Driven by artificial intelligence technology, the research of intangible cultural heritage innovative design is carried out. Firstly, the appearance modeling characteristics, decorative element characteristics, and composition form characteristics of typical intangible cultural heritage products are analyzed. According to the collected relevant data of intangible cultural heritage products and existing products, combined with the regional cultural characteristics of intangible cultural heritage products and other factors, the analysis Atlas of intangible cultural heritage product innovation design is constructed. Based on perceptual engineering, the elements of intangible cultural heritage product innovation design for user participation are determined according to the needs and perceptual images of users. The shape grammar is used to extract the elements of intangible cultural heritage products, deduce and deform them, and finally generate the preliminary design scheme.

Research on Computer-Aided Product Design Technology.

As globalization picks up speed, product innovation—the driving force behind business growth and market competition—becomes increasingly important for advancing product design technology. Computer-aided technology is one of the key components of product design, including issues with scientific analysis, creative thinking, problem-solving, and handling conflicts. Product design technology is gaining more and more attention. Computer-aided technology is now a trendy topic that is being studied by many academics due to the quick growth of computer technology. However, most of them focus on the product information model and solution and do not start from the technical methods and innovation of product design, resulting in many problems in the later solution and information description. Therefore, this paper studies product technology problems based on computer-aided technology and briefly explains the CAI technology-driven technology and the establishment of integrated process model. In this model, the assembly information model diagram is constructed to analyze the conflicts and problems in the assembly model, and then, the CAI-driven integrated innovation technology is called to complete the assembly model design. Conflicts in the assembly design can be minimized by using this paradigm. Finally, the qualitative examination of product design reveals that brainstorming is the process that uses the least amount of energy. The shafting assembly system is reviewed and examined at the same time, and the assembly accuracy accounts for the highest 35 percent of the system, completely indicating the extraordinary impact of computer-aided product design.

Construction and Application of Enterprise Knowledge Base for Product Innovation Design

As most of the knowledge used in industrial product design is based on data files from a previous design, it is difficult to be efficiently applied in supporting product innovation design. This paper proposes a method to construct an enterprise knowledge base (EKB) for product innovation design. A concept of the functional basis of product (FBP) is first proposed based on similar products. The function units and corresponding technical units are clustered to construct an EKB for product innovation design. A retrieval path of the knowledge is then proposed from the functional level. The prototype software is developed to retrieve the knowledge directly through function units and determine the optimal technology by searching and ranking relevant patents. The patent circumvention and Theory of Inventive Problem Solving (TRIZ) methods are used to solve invention problems and obtain innovative solutions. The built EKB model provides a systematic method for the innovative product design process. An underwater separator is developed in a case study to verify the proposed method.

Heuristic-based computer-aided design of ice creams and validation by using jaggery as refined sugar substitute

This work aims to use an in-silico approach to develop ice cream formulations. These were computationally designed using recommendations from experts, literature heuristics, legal regulations, food restrictions, target performance properties, and properties models. Such input information was transformed into mathematical models suitable for mixed-integer multivariable and multi-objective optimization in food product design. The computer model was validated by generating a novel ice cream formulation containing non-centrifugal cane sugar (Jaggery) as refined sugar substitute. Preliminary prototype formulations were manufactured to assess the potential impacts of jaggery as sugar replacement, and performance of the product was assessed in terms of density, overrun, viscosity, pH, texture, freezing point, and melting rate. As result, it was found that jaggery barely affected main performance properties thus avoiding the need for modifications in the mathematical models. Afterwards, the computer model was set to develop a jaggery-added formulation with minimum cost via a mixed-integer linear optimization. The optimal product was experimentally validated and characterized by sensory assessment. Results indicate that computer-designed ice creams are pleasant and jaggery has no influence on the overall sensorial perception of the product. This heuristic approach might be adapted for the computer-aided design and reformulation of other innovative food products.

Inovasi Produk, Promosi Sosmed Untuk Meningkatkan Target Konveksi Handayani Wirosari, Kab. Grobogan

The purpose of this activity is so that business actors or SMEs can make good use of Social Media to support the marketing of tgeir Small and Medium Enterprise SME products and expand the reach of their target market or consumers through digital marketing. This is because the use of social media is considered more effective to reach all levels of society. Especially during the Covid-19 pandemic, people tend to spend more time on social media. This can be used by business actors to market their products online. With the large number of internet users, our team took the opportunity to suggest that SMEs in our service area market their products through social media and business actors can take advantage of the use of internet-based media properly and maximally to increase the marketing of the products they sell.The method in this service activity which is a solution to overcome partner problems is with assistance in the form of training using social media, human resource creativity, simple accounting for product design innovation. partner product sales. Simple accounting training is expected so that SME managers can separate business needs from personal needs.The results of this service are the realization of new product model design innovations, the existence of a business account that can be used as a tool for promotion, an understanding of the basics of accounting and the creativity of employees in managing SMEs

Data-Driven Design Support for Additively Manufactured Heating Elements

AbstractAdditive Manufacturing (AM) enables innovative product designs. One promising research field is AM of integrated electrically structures, e.g. heating panels using Joule effect. A mayor challenge in designing heating panels using AM is the dependency of its resultant resistivity from material, process and geometry parameters. The goal-oriented design of heating panels with individual surface temperatures the interactions between these parameters need to be understand. Therefore, a data-driven design approach is developed that facilitates a design of heating panels with specific properties.

Impact of Aesthetics in Innovative Product Development on Consumer Perception and Acceptance

“Beauty is how you feel inside, and it reflects in your eyes. It is not something physical.” Sophia Loren Design aesthetics is an important element in any of the product which a man uses in day to day life. This is also one of the major factors which compel a consumer to buy the product. In this growing competition focus is on innovative product development and new approaches to draw customer’s attention towards their products. Aesthetics is one of the integral parts of design principles that define a design’s pleasing qualities. Aesthetics are one of the most important for customer acceptance in almost all the fast moving goods categories. This study aims to investigate the impact of aesthetics in innovative product development and consumers’ perception and acceptability as importance of aesthetics is not being explored by researchers. This paper inspects the importance of aesthetics while working on innovative product development, design process, sustainability, and consumer perception on aesthetics while buying a new product.

Designing to Attract in an Emerging Market: Applying Behavioural Reasoning Theory to South African Consumer Reactions to an Ultra-High Temperature Milk Product Line Extension

In the ultra-high temperature (UHT) milk category, parent brands introduce line extensions as innovative product designs to address the competitiveness in the market. However, not knowing if consumers will purchase the product results in uncertainty for the product design and marketing team. Using the behavioural reasoning theory, the purpose of this study was to explore South African consumers’ reasons for purchasing a UHT line extension that was designed to include the word ‘enriched’ and other extrinsic line extension attributes comprising product packaging design, country of origin and price. An exploratory-descriptive qualitative study was conducted using six focus groups involving milk consumers from a South African university. Three behavioural approaches (i.e. curiously cautious, unconditional and habitual) emerged, with diff erentiating characteristics of the behaviour towards the UHT line extension. Each extrinsic product attribute was characterised by specifi c behavioural acts that positively or negatively infl uenced the reasons for purchasing the UHT line extension. The behavioural reasoning theory was useful in explaining the linkage between the reasons for or against purchasing a UHT line extension product and the intended behaviour, which contributes to a better understanding of consumers’ approaches to a UHT line extension. Findings can assist food designers and marketers in designing a UHT line extension that resonates with consumers.

Research on Innovative Thinking of Ceramic Art Design Based on Artificial Intelligence

Ceramic product design is a method for creating the most functional, practical, and aesthetically pleasing product system out of ceramic materials. It is a conceptual, behavioral, and realization creative process. Design is a creative process, and designers’ use of creative thinking is what gives them their power. Ceramic design, as a sort of design, cannot survive without creative thinking in the face of a continually changing market environment and market demands. The unique design of ceramic products is not only a critical component in its qualitative leap but also a requirement for ceramic products to achieve a competitive edge in sales. Artificial intelligence (AI) technology is now extensively employed in many industries, and designing ceramic products using AI technology as support is a new development route for the ceramic industry. This study explores the application of AI in the development of creative thinking in ceramic design, to provide theoretical support for related process optimization. Using AI, designers who play a key role in the development of ceramic product design can properly comprehend material characteristics, fully exploit technological boundaries, and recognize that technology can considerably encourage ceramic product design innovation.

Research on Innovative Design of Product Packaging Based on Big Data Technology

Traditional product packaging design mainly relies on the designer's personal experience and intuition, but there are problems such as uncontrollable content and lack of knowledge and guidance in the field of product design. With the development of big data technology, product packaging design in the era of big data is carried out under the support of a large amount of real data, which has high predictability, success rate, and short development cycle. Compared with structured data, unstructured data such as text, images, and audio has a higher value. Among them, text big data and image big data have good application prospects in the field of product packaging design due to their easy data acquisition, mature processing technology, and simple operation. This paper proposes a combination of big data technology and neural style transfer model and proposes an innovative design method for product packaging that can generate high-quality images and controllable content. First, the perceptual engineering theory is used to obtain user needs, to build a mapping model between product modeling elements and product semantics, and to guide the selection of product semantics and style maps; second, use neural style transfer models to reconstruct and combine the color features of style maps. After the integration, it migrated to product packaging design, based on big data product packaging innovation design methods, and developed a product innovation design auxiliary prototype system based on actual needs to improve the company’s R&D and innovation capabilities, shorten product development cycles, and reduce R&D costs. Improve product success rate and user satisfaction.

Exploring Tourists’ Intentions to Purchase Homogenous Souvenirs

In the context of people’s gradually rising consumption levels and the urgent need to upgrade the tourism market, the continuous homogenization of tourism souvenirs is beginning to seriously affect the shopping experience of tourism tourists. This study aims to explore how tourists perceive the phenomenon of the homogenization of tourism souvenirs and how this phenomenon affects tourists’ continuous purchase intention. This study constructs a hypothesis model of the relationship among perceived homogeneity, perceived value, and continuous purchase intention based on a perceived value perspective and validates the model using structural equations. These findings are as follows: (1) Tourists’ perceived product homogeneity and perceived service homogeneity have significant negative effects on perceived product value and continuous purchase intention. (2) Perceived service homogeneity has a significant negative effect on tourists’ perceived emotional value. (3) Perceived product value and perceived emotional value have significant positive effects on continuous purchase intention. The study also explores how to enhance tourists’ perceived value through innovative product design and service system construction. The findings can provide valuable insights for promoting the sustainable development of the tourism market and tourists’ continuous purchase intention.

Utilize Fuzzy Delphi and Analytic Network Process to Construct Consumer Product Design Evaluation Indicators

In the face of an ever-changing global market, companies able to launch new products meeting consumer needs faster than their competitors may not only gain a larger market share, but also shorten the development cycle to reduce costs. However, there are currently no universal design strategies and tools for evaluating the design of consumer products. Therefore, the purpose of this study is mainly to formulate a systematic and innovative product design strategy and evaluation tool, so that designers can use them to select the key factors when designing consumer products and design products that meet customer needs in the shortest development cycle. First of all, this study was designed to sort out general design methods and influencing factors in consumer product design based on theoretical analysis and expert interviews. Next, a questionnaire survey of 15 design-related experts and scholars was conducted, and the most important design methods and design factors were selected using the Fuzzy Delphi Method (FDM). After that, the analytical network process (ANP) method was used to obtain the priority weight of each design factor, and select the optimal product design strategy, QTPCP, and the deciding elements that affect consumer demand for products, including 2 dimensions, 11 design elements, and 38 design factors, making theoretical contributions to product design management. The design strategies and evaluation tools developed according to the conclusions are helpful in comprehensive planning and design selection for products of different natures, and make practical contributions, enabling product developers or designers to efficiently select the optimal product design when faced with different new product designs.

The role of friction on skin wetness perception during dynamic interactions between the human index finger pad and materials of varying moisture content.

Mechanosensory inputs arising from dynamic interactions between the skin and moisture, such as when sliding a finger over a wet substrate, contribute to the perception of skin wetness. Yet, the exact relationship between the mechanical properties of a wet substrate, such as friction, and the resulting wetness perception remains to be established under naturalistic haptic interactions. We modeled the relationship between mechanical and thermal properties of substrates varying in moisture levels (0.49 × 10-4; 1.10 × 10-4; and 2.67 × 10-4 mL·mm-2), coefficient of friction (0.783, 0.848, 1.033, 0.839, 0.876, and 0.763), and maximum thermal transfer rate (Qmax, ranging from 511 to 1,260 W·m-2·K-1), and wetness perception arising from the index finger pad's contact with such substrates. Forty young participants (20M/20F) performed dynamic interactions with 21 different stimuli using their index finger pad at a controlled angle, pressure, and speed. Participants rated their wetness perception using a 100-mm visual analog scale (very dry to very wet). Partial least squares regression analysis indicated that coefficient of friction explained only ∼11% of the variance in wetness perception, whereas Qmax and moisture content accounted for ∼22% and 18% of the variance, respectively. These parameters shared positive relationships with wetness perception, such that the greater the Qmax, moisture content, and coefficient of friction, the wetter the perception. We found no differences in wetness perception between males and females. Our findings indicate that although the friction of a wet substrate modulates wetness perception, it is still secondary to thermal parameters such as Qmax.NEW & NOTEWORTHY Our skin often interacts with wet materials, yet how their physical properties influence our experience of wetness remains poorly understood. We evaluated wetness perception following naturalistic haptic interactions with materials varying in moisture content, friction, optical profiles, and heat transfer rates. We show that although mechanical parameters can influence wetness perception, their role is secondary to that of thermal factors. These findings expand our understanding of multisensory integration and could guide innovation in healthcare product design.