QFD Model Research Articles

A Design Study on Commercial Cleaning Robots Based on Kano–QFD

In the post-pandemic era, public space safety has emerged as a central public concern. As global public health awareness rose, traditional manual cleaning methods were increasingly inadequate for large-scale and high-standard cleaning requirements. Therefore, the design of a commercial cleaning robot that combined cleaning efficiency, environmental performance, and sustainability was essential to meet evolving societal demands. This paper systematically gathered and analyzed commercial cleaning robot functional requirements through a comprehensive investigation. According to the Kano model, functional requirements were categorized by attributes and their importance was quantified. Subsequently, using the QFD model, the design requirements for commercial cleaning robots were determined, and their significance weights were established. This identified the key design requirements. The results of this study indicated that the integration of the Kano and QFD models provided a novel perspective for the design of functional integration in commercial cleaning robots. Furthermore, it provided a practical methodological framework for addressing similar issues in the future.

Measuring museum sustainability in China: a DSR model-driven approach to empower sustainable development goals (SDGs)

In the past few years, sustainable development has undoubtedly become an essential perspective for museums. Museums have been committed to raising social awareness around ecological conservation and cultural diversity through various exhibitions, education and research projects, and public engagement. However, the concepts, approaches, and practises of “sustainability” differ across nations and regions, and there is a lack of sufficient quantitative research on sustainable development by and within museums. This article aims to establish an evaluation framework and evaluation approach for museum sustainability in China. Its framework is initially based on the DSR model, in which “D” delineates seven deeds of museum visitors, “S” characterizes the status of sustainable practises within museums, and “R” involves presenting sustainability strategies pertinent to Chinese museums by integrating Sustainable Development Goals (SDGs). A fuzzy QFD model is then used to develop an evaluation approach for analyzing the Zhejiang Natural History Museum (ZNHM)’s sustainable development strategies, using data from surveys and in-depth interviews. As a result of this study, significant opportunities for deepening sustainable practises were identified for ZNHM, which include updating the collection system, enhancing professionalism in exhibitions and educational projects, and securing funding policies. ZNHM’s sustainability efforts prioritize enhancing social awareness, and internal reforms related to social value, governance, and professional capabilities. With these foundations in place, international cooperation among museums may be the next step towards a sustainable future.

Research on the Interface Design of Smart Tourism APP for the Elderly Based on KANO-QFD

Abstract This paper analyzes the integration process of the Kano model and the QFD model, combines the advantages of the two, and proposes a method of obtaining the importance of user requirements based on the integration method of the QFD and Kano model. Organize older people’s smart tourism needs and use the Kano model analysis method to categorize each demand attribute. Obtain the self-scoring importance degree of the elderly demand, calculate the satisfaction index of the elderly demand, and get the comprehensive ranking of the importance degree centered on the elderly demand according to the SII, DDI, T i, and K values of the demand elements. Clarify the elements of smart tourism APP interface design services, establish the relationship matrix between the needs of older people and the service index, and build the service quality house of smart tourism APP interface design for the elderly. Use the smart tourism APP functional interface planning strategy to present the functional design of the APP interface. It can be found that those with higher importance ratings are mainly basic functional requirements, attraction guides, and personalization center, of which the four importance indexes of U6 personalization center are U61=4.72, U62=4.75, U63=4.16, and U64=4.23. The calculation results of the quality house show that the importance of the service elements of the interface design of the APP for senior citizens’ smart tourism is ranked as APP content professionalism, service attitude, recommendation rationality, and service quality. Degree > service attitude > recommendation rationality > after-sale reliability.

A Modeling Study on the Teaching System of Chinese Language in Colleges and Universities and the Cultivation Path of Bi-Creative Talents

Abstract The trend of cultivating Chinese language dual-creative talents in colleges and universities is inevitable due to the increasing importance of national soft power. This paper studies the Chinese language teaching system and the cultivation path of dual-creative talents in colleges and universities using a modeling approach. The competency model’s iceberg model determines the dimensions and measurement items of dual-creative talents, verified through reliability analysis. At the same time, a QFD model for quality assurance of dual-creative talent cultivation in universities was established, and the importance of demand factors was calculated by analyzing the obtained results of each rating. Among the four factors, the degree of conformity was from the highest to the lowest: creative attitude, basic creative ability, creative expansion ability, professional knowledge, and skills, with rating values of 4.19, 4.12, 3.67, and 3.49, respectively. The empirical analysis of QFD showed that the highest weight of the demand level of development achievement of dual-creative talents cultivation reached 0.4066, followed by the basic conditions of teaching, which reached This study can provide some reference and help for the cultivation of Chinese language double-creative talents in colleges and universities, and help improve the quality of double-creative talents cultivation.

Analysis of the construction and reform path of preschool education professional practice courses in the context of computer big data

Abstract This paper first uses the big data adaptive learning system to facilitate students’ mastery of knowledge points, improve their learning performance, and stimulate their interest in learning. Then, the practical curriculum of preschool education is realized through curriculum facilities, curriculum objectives, curriculum content, curriculum organization and implementation, and curriculum evaluation. Next, the QFD entity model for quality assurance of preschool education personnel training is established. The realistic basis for the construction of the model is also elaborated, and the conceptual framework of the QFD model for quality assurance of higher education personnel training is proposed and comprehensively analyzed. The results show that the cooperative group learning approach is more favored by students, up to 64.44% in the practical courses. The number of graduates who chose to work in early education and other industries increased by 10%. It shows that improving students’ personal comprehensive quality can adapt to society’s comprehensive demand for professionals.

Enhancing Tofu Product Development: Integrating KANO and QFD Models for Consumer-Driven Satisfaction

This study seeks to optimize product development within the tofu industry by synthesizing the KANO and Quality Function Deployment (QFD) models, leveraging consumer preferences as the cornerstone for classification and gauging their profound influence on overall customer satisfaction. Employing a quantitative approach with a descriptive framework, this research employs the KANO model and Quality Function Deployment (QFD) as analytical methodologies. The outcomes unveil a structured approach that effectively aligns product attributes with consumer expectations, thereby enhancing customer satisfaction in the tofu market. This study's implications underscore its potential to revolutionize the tofu industry's product development strategies, emphasizing a consumer-centric approach for global applicability. Highlights: Integration of KANO and QFD: Efficient fusion of KANO and QFD models for enhanced product development. Consumer-Centric Approach: Prioritizing consumer preferences to boost customer satisfaction. Industry Transformation: Potential to revolutionize tofu product development strategies globally. Keywords: Tofu, Product Development, KANO Model, QFD, Consumer Preferences

Renovation of Traditional Residential Buildings in Lijiang Based on AHP-QFD Methodology: A Case Study of the Wenzhi Village

The rapid growth of tourism has led to the transformation of numerous traditional dwellings in Yunnan into commercial lodgings, presenting a challenge to the preservation and inheritance of traditional culture. However, the existing renovation practices lack scientific data support and rely heavily on architects’ subjective designs. Thus, finding a scientific and stable approach to maintain the traditional residential characteristics becomes crucial. This study focuses on the renovation of Wenzhi villagers’ residences in Yunnan as a case study. It employs the innovative AHP-QFD design methodology to explore a more scientific and objective method for preserving and promoting the features of traditional dwellings in commercial renovations. Initially, the study assigns weights to the commercial renovation objectives—local traditional features, architectural functions, sustainability, and comfort—using the hierarchical analysis method (AHP). Subsequently, specific design features are derived from transformation requirements through interviews and questionnaires with residents, tourists, government officials, and experts. The innovation of this research lies in the application of AHP and QFD models to the innovative design of commercial renovations for traditional dwellings in Yunnan, resulting in a set of systematic and scientifically supported decision-making methods for renovating and preserving traditional buildings in the region. The study’s findings reveal that building geometry and dimensions, skilled traditional craftsmanship, and flexible and expandable solutions carry the highest weight in design. The application of the AHP-QFD model in commercial transformation design effectively balances the preservation of traditional culture and the pursuit of commercial value. It offers a feasible and innovative design solution for commercial transformations of traditional houses in the Yunnan region, ensuring the preservation of cultural heritage while enhancing commercial appeal.

Integrating the Kano model and quality function deployment for the development of ready-to-eat smoothie bowl

Smoothie bowl is a smoothie product made from fruit and vegetables and packed into a bowl. This study aims to determine the attributes desired by consumers and applied in product development using the Kano model and the quality function deployment method. Kano model was applied to determine the important attributes that could influence consumer preferences. The important attributes were then further analyzed using the quality function deployment method. Based on the results of the integration of the Kano and QFD models, there are five technical responses that can meet consumer desires, namely formulation, storage techniques, selection of raw materials, designing the design and type of packaging, as well as processing techniques. For the smoothie bowl formulation, the fifth formulation of 25% bananas and 75% mangoes with a topping composition of 40% bananas, 50% mangoes, and 10% cereals was a formulation that gave the highest average value of aroma and taste preferences and was significantly different from other formulations.

Integration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agenda

PurposeThis paper aims to classify journal papers in the context of hybrid quality function deployment QFD and multi-criteria decision-making (MCDM) methods published during 2004–2021.Design/methodology/approachA conceptual classification scheme is presented to analyze the hybrid QFD-MCDM methods. Then some recommendations are given to introduce directions for future research.FindingsThe results show that among all related areas, the manufacturing application has the most frequency of published papers regarding hybrid QFD-MCDM methods. Moreover, using uncertainty to establish a hybrid QFD-MCDM the relevant papers have been considered during the time interval 2004–2021.Originality/valueThere are various shortcomings in conventional QFD which limit its efficiency and potential applications. Since 2004, when MCDM methods were frequently adopted in the quality management context, increasing attention has been drawn from both practical and academic perspectives. Recently, the integration of MCDM techniques into the QFD model has played an important role in designing new products and services, supplier selection, green manufacturing systems and sustainability topics. Hence, this survey reviewed hybrid QFD-MCDM methods during 2004–2021.

Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm

In the present era, against the background of normalized measures of epidemic prevention and control, a multi-function intelligent robot that can completely replace human beings in disinfection and epidemic prevention work needs to be designed in order to contain the spread of viruses at the source, to efficiently and conveniently serve the controlled regions, and to meet the needs of the current context. Existing disinfection robot designs only address the problem of disinfection; there is no disinfection robot that can achieve full-domain and full-space disinfection (including stairs), as well as having multiple epidemic prevention functions. The fuzzy QFD tool and the ARIZ algorithm were used here to solve the problems related to disinfection robots. By using fuzzy QFD as the research framework and combining it with fuzzy AHP to calculate the weight of demand for the disinfection and epidemic prevention robot, the authors further translated the demand into the technical and part characterization of the robot. The conflicts in the fuzzy QFD model were solved using the ARIZ algorithm. Finally, based on the solving principle of the ARIZ algorithm and the qualitative and quantitative conclusions of fuzzy QFD, a robot for disinfection and epidemic prevention was designed in a comprehensive manner. A robot that can completely replace human beings in the tasks of disinfection and epidemic prevention was designed in this work, solving the problems associated with the robot’s ability to climb stairs and realizing the innovation of the robot’s comprehensive disinfection, distribution of materials, real-time monitoring, temperature measurement, and other functions. This study provides a theoretical reference for the design of related products.

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.

An Integrated QFD Models with Variety Management

Improving Design for Variety (DFV) can satisfy more customer requirements, but increase the complexity of product design and manufacturing. QFD, also known as House of Quality (HOQ), is a method that transforms Customer Requirements (CRs) into Engineering Characteristics (ECs), and then transforms ECs into Components Design (CDs). DFV include the variety in products and in components, and the product variety needs to be realized in component variety. With QFD, it is possible to transfer the requirement of CR to the requirement of CD including variety requirement. How QFD responds to DFV management so that it can plan ECs considering the impact of design changes on CDs was examined. This paper proposed a QFD optimization model that can quantify the interrelationships among ECs and support DFV management. A case study on an automobile development verified the effectiveness and feasibility of the proposed model.

Research on Product Design of Assisted Employment for the Disabled Based on Kano QFD

The purpose of this paper is to effectively obtain users' demand and weight for the auxiliary employment of the disabled, and determine the design requirements of the auxiliary employment products, so as to optimize the process of the auxiliary employment products for the disabled and promote the development of the employment of the disabled. The specific implementation process is as follows: First, use the user journey map to explore the user behavior path and obtain the initial user needs; Secondly, the user needs are classified by Kano model and the demand weight is determined; Finally, QFD completes the transformation between user requirements and design requirements, obtains design weights, and obtains key design goals by comparison. Through the combination of user journey map, Kano model and QFD model, this paper takes the Green Horse aided employment product for the disabled as an example to study, provide design basis and verify the feasibility of this method, and improve the aided employment product from the three dimensions of the disabled, product and buyer.

An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model

Service quality is the soul of express enterprises forever. It is of great practical significance for winning customer satisfaction, improving the market competition, and realizing sustainable performance. Unlike tangible products, express delivery service has the characteristics of intangibility, heterogeneity, indivisibility, and instability. While customer demands are complex and changeable and unpredictable, incorporating complex customer requirements into service design has been a growing interest of researchers and practitioners. This paper proposed an optimization design framework based on the quantitative Kano (QKNO) and the fuzzy quality function deployment (FQFD) to effectively achieve the best matching of enterprise service elements under the uncertainty and imprecise judgment information. An empirical study is conducted to verify the feasibility of the proposed approach. The results show that the framework could guide the express company to prioritize the enterprise service elements to maximize customer satisfaction and provide a reasonable budget allocation scheme to set the best resources match. It has theoretical and practical meaning for express enterprises to implement customization service strategy and improve service quality under the limited budget, which could be further extended to other service industries to make optimization decisions.

Analysis of Customer Satisfaction in Construction Companies Using QFD Method

The study adapted the QFD model as main framework for analyzing service quality by using of service quality dimensions (tangibility, reliability, responsiveness, assurance, and empathy. The research used the questionnaires that were distributed between twenty respondents who are the consumers of that company. The survey analyzed the consumers’ needs of houses and the ways for improving the quality of services. The outcomes of the study display that the top priority for customer satisfaction, such as name the suitability of the project report with actual conditions in the field; Ability to complete within deadlines; Service level after completion; Application of work procedures and instructions for completing projects; Project workers' expertise in using equipment in the field; Level of trust in communication follow-up; Discipline and compliance with agreed project schedules and Fulfillment of construction functions. While the technical response given by the company to increase consumer satisfaction are Monitoring the results of reports with the field by Project Control; Training of contractor field supervisors; Monitoring the communication system periodically; Training in the use of work equipment; Periodic S curve monitoring; Improved technical communication between the person in charge with the representative of the employer; Periodic SOP briefing; and Giving reward and punishment to Project Managers and Field Teams.

An ergonomics-driven QFD model to improve medical laboratory staff and patient satisfaction

Patient satisfaction is an important and frequently used outcome measure for the quality of healthcare services. Any increase in patient satisfaction scores translates directly into an improved reputation, customer loyalty, profitability, and growth. This study investigates the effect of a well-designed work environment on medical laboratory employee satisfaction and in turn on patient satisfaction. The Quality Function Deployment methodology is used to translate the voice of patients into a set of critical to quality ergonomic aspects that are converted to prioritized and actionable ergonomic processes. By understanding the importance of ergonomic process elements of medical laboratory employee satisfaction and their effect on patient satisfaction level, it is possible to make informed decisions about the workplace elements that need to be considered for improvement. The results of this study highlight the role and responsibilities of healthcare execution managers in creating ergonomics-based organizational policies and strategies, leading to improved healthcare quality performance and financial results.

Measuring the Impact of TQM Pillars in Improving Banking Performance Using Quality Function Deployment; Afield Study of –CPA, BNA, BBA

The aim of this study is to know the effect of applying TQM pillars on the development of determinants of banking performance; It was limited on the Algerian National Bank, the Algerian Popular Loan, Al Baraka Algerian Bank. In order to achieve the aims of the study, a descriptive method was adopted, and research was conducted on many sources of contemporary management though treated to the subject of the study.A questionnaire was developed for workers,(189 workers), in addition, the using the QFD model. The study concluded that the pillars of TQM have a positive effect on all determinants of banking performance in varying degrees. However, the quality of banking service has the highest score (741,512) and the "training and qualification of workers" pillar has the highest relative importance (13.42%), which means that the banks in the study give more priority to this pillar
 than the other pillars. On the other hand, the pillar of "motivating employees" was less important (10.63%), which means that the banks do not give much attention to this pillar.

Identification and Evaluation of the Ways of Meeting Patients' Expectations from a Hospital: An AHP-Weighted QFD Case Study In A Pediatric Hospital

The purpose of this study is to determine the expectations of pediatric patients from a hospital and find out feasible solutions to address these expectations. In accordance with this purpose, an AHP-weighted QFD case study was carried out in a pediatric hospital in Turkey. In order to determine the expectations of pediatric patients; face-to-face and semi-structured interviews were used and the natural environment of the hospital was observed in many different times. Expectations of the children constituted the left part of the House of Quality (HoQ) of QFD and were weighted using the AHP. Then, technical requirements offering solutions to expectations of children were defined, other parts of the house were added and the whole HoQ was completed. The results show that, from the children’s point of view, accommodation services was found as the most important factor and arrangement of the patient rooms as the most important sub-factor. All remaining factors and sub-factors were also evaluated and prioritized. It is hoped that this study can contribute to the related literature and the QFD model developed in the study can be taken as an example by similar and/or different hospitals. Finally, the limitations of this study and future research directions are outlined.

Innovative Design of Household Body Composition Analyzer Based on INPD and QFD

In order to solve the problems that the household body composition analyzer has not yet established a good experience relationship with users and the diversity of user needs, a new design method is proposed to get a more complete solution. Taking INPD as a research framework, re-examining the changes of SET factors can create new product opportunities and find product opportunity gaps; Through market surveys and user surveys, in-depth digging into the needs, preferences and expectations of target user groups, understanding product opportunity; Combining QFD models quantitatively analyze user needs and refine design requirements, establish a mapping relationship between user needs and design requirements, and quantify key design requirements. Through the combination of INPD and QFD, a design scheme driven by customer needs is given, which solves user needs to a certain extent, and its feasibility provides a reference for the innovative design of such products.

Marketing research and design of quality function in the production of innovative product of health purpose

The object of the experiment was 600 people, potential consumers of dairy products. Of these, 210 were practically healthy and 390 who had certain diseases. The subject of research was their consumer preferences regarding the appearance on the market of an innovative product for health purposes. One of the problems of our time is the lack of food in the market for special diet food.The study found that 20% of those surveyed consume classic drinking yogurts almost daily. 15, 13 and 12% of respondents daily consume cottage cheese, sour cream and yoghurts with cereal toppings (respectively). 10% of respondents prefer acidophilus and kefir. 9% of respondents prefer lactic acid products – fermented baked milk. 8% of respondents consume yogurt and aerin daily. 2% of the number of respondents consume bifilife. It was established that among the respondents yoghurts containing carotene, lecithin and products based on soy milk (3% each) are not in great demand. The consumer prefers yogurt with the content of wheat germ and bran (18%). 17% of respondents consume yogurt with sugar substitutes. 13% prefer products that contain vitamins. 10% consume micronutrient yoghurts. 7 and 6% (respectively) of respondents prefer yogurt with the content of antioxidants and enterosorbents. Fat-free products and products containing dietary fiber received 5% of consumer preferences. Having designed the quality function of the QFD model (Total Quality Management – QFD), it was found that the consumer wants to see yogurt on the shelf containing bifidobacteria, habitual taste characteristics, safe for consumption and at a low price.Compared with similar well-known methods of yogurt production, the designed product can bring maximum profit to the manufacturer, due to the release of new products that will best meet the requirements of consumers.