Quality Function Deployment Research Articles

A Big Data-Kano and SNA-CRP Based QFD Model: Application to Product Design Under Chinese New E-commerce Model

Chinese E-commerce market is increasingly saturated, fierce competition has spawned a new E-commerce model: more and more enterprises set up direct-sale stores on online shopping platforms to reduce costs by lessening intermediate links of sales and make products more competitive. However, new model also makes the enterprise face a series of customer needs from production to after-sales. Quality function deployment (QFD) has been proved be an effective method to integrate customer requirements (CRs) into the improvement of engineering characteristics (ECs) of products or services. To effectively identify CRs and determine the development direction of ECs, this article proposes a new QFD method based on the extended Kano model and social network analysis (SNA) method by considering the characteristics of online shopping reviews and the social relationship between the enterprise's departments. CRs are identified through crawler and word frequency analysis, while their Kano categories are generated by sentiment analysis and frequency-inverse document frequency algorithm. The objective weights of CRs are determined by word frequency and dynamically adjusted depending on enterprise's development stages. A SNA based consensus reaching process is devised to determine ECs’ priorities. The practicality of the proposed QFD model is verified by a case study of mobile phone design under the new E-commerce model. A comparative analysis shows the essential characteristics of the model, and the influence of calculation parameters is shown by the sensitivity analysis.

Development of a Human Centric Cyber Physical Production System Framework for Enhanced Social Sustainability

Social sustainability focuses on building a sustainable workplace that prioritizes the occupational health, safety, and overall well-being of workers. It is considered one of the three fundamental pillars of sustainability. Human centric cyber physical production system (CPPS) emphasizes the central role of humans in the smart manufacturing process that has become an essential requirement to enhance social sustainability. This paper proposes a human centric CPPS framework for enhanced social sustainability. The social needs/requirements are identified and categorized into various types. Similarly, functional and design requirements are categorized into different elements and sub-elements of CPPS. The findings are used to create a QFD (Quality Function Deployment) matrix that integrates social requirements with the functional and design requirements of modular CPPS elements. The present work will be significant in enhancing the management capabilities and performance of traditional manufacturing systems, while also meeting diverse social needs and requirements.

Enhancing Operational Effectiveness Evaluation of Aeronautical Telecommunication System Through Quality Function Deployment and the Stage Probability Method

Enhancing Operational Effectiveness Evaluation of Aeronautical Telecommunication System Through Quality Function Deployment and the Stage Probability Method

Designing an IoT-Based Vest for Elderly People with Dementia

The increasing elderly population is causing various changes that have an impact on health problems, one of which is cognitive function, namely dementia. This research will aim to create a smart vest that will have the main feature of location tracking, especially when the user is outside the home and has no supervision. Quality Function Deployment (QFD) method, usability, and anthropometry will be used to determine appropriate evaluation steps based on product needs analysis to ensure users can use the product easily, efficiently, and satisfactorily. In making VesTi products, several processes are carried out based on the main and body parts, namely the front and back vest, vest pockets, zippers, heart rate sensors, airbags, GPS sensor module, and crash collision sensor. Using the QFD method, the crash sensor variable has a value importance rating of 5.33 and a value relative view of 30%, which means that more attention is needed for developing crash sensors in VesTi products. Based on usability testing, the level of satisfaction at grades A+ or acceptable. The anthropometry used; chest circumference is 106 cm, shoulder width is 37 cm, waist circumference is 100 cm, wrist circumference is 18 cm, and front torso height is 67 cm.

Development of a Lean Six Sigma Model and Resilient Supply Chain Using Modern Fuzzy Inference Approaches and Design of Experiments (Case Study: Asia Factory)

Objective: The present research aims to develop a Lean Six Sigma model and a resilient supply chain. Methodology: To develop the Lean Six Sigma model and resilient supply chain using a grounded theory method, interviews with experts were conducted to examine the factors influencing the model's development. Then, the Delphi process and surveys from relevant experts (faculty members, managers of food companies, and supply chain experts) were used to finalize the list of dimensions and components via the grounded theory method and to determine the importance coefficient of each. Finally, the identified input variables were converted into explicit or numerical values using fuzzy inference algorithms by a defuzzification unit. Using the design of experiments technique, the 3^(k-p) method was applied to express the impact of each influencing factor on the output characteristics as a model. Considering the qualitative nature of the research method, the data obtained from the study were analyzed using NVIVO version 11 software in the first step. In the next step, MATLAB software was used for the fuzzy inference section, and finally, MINITAB software was used in the design of experiments section. Findings: The results showed that all input variables affecting flexibility, capacity, and adaptability were significant at a 95% confidence level. Additionally, Total Quality Management (TQM) had the most significant impact on the variables of flexibility and capacity, while Quality Function Deployment (QFD) had the most significant impact on adaptability. Conclusion: The proposed model, aiming for integrated information across the food chain, spans from primary agricultural production to the consumer, replacing human mechanisms and potential errors.

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

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Purpose-centered design of rehabilitation robots: a case study of a hand exoskeleton for assessing spasticity

Hand exoskeletons offer promising solutions for hand function rehabilitation. Despite considerable research on novel exoskeleton technologies and the commercial availability of many hand exoskeletons, most hand exoskeletons can only perform motor training and assistance, rather than treatment or diagnosis of hand diseases. This limitation is also observed in other rehabilitation robots. Designing a rehabilitation robot for medical purposes necessitates the integration of existing technologies, tailored to the symptoms, clinical conditions, and management methods of the target disease. To facilitate such design, this study presents a design strategy for rehabilitation robots that assist in the therapy and assessment of specific diseases. The strategy first systematically gathers prior medical and engineering knowledge on the management of the target disease and clarifies comprehensive design requirements, including medical goals and user needs. Next, modified Quality Function Deployment (QFD) and Theory of Inventive Problem Solving (TRIZ) methods are used to identify the core requirements and the optimal design scheme based on existing technical solutions. Lastly, the optimal design scheme is prototyped, tested, and refined iteratively until the product satisfies the design purpose. As an illustrative case study of this design strategy, the design of a hand exoskeleton for assessing hand spasticity is discussed. This strategy is adaptable for designing hand exoskeletons for other diseases or developing other types of rehabilitation robots, thereby extending the potential of rehabilitation robots in diagnostic and therapeutic applications.

Analytical hierarchy process-based maintenance quality function deployment integrating total quality management with total productive maintenance and its application in dairy industry

Analytical hierarchy process-based maintenance quality function deployment integrating total quality management with total productive maintenance and its application in dairy industry

Applied research on the design of protective clothing based on the Kano-QFD-PUGH method.

In order to improve the user experience of protective clothing for healthcare workers and reduce the design blindness and subjectivity of developers, we propose a research methodology that combines the Kano model, QFD quality function deployment, and PUGH decision-making scheme to develop conceptual solutions for medical protective clothing design. Firstly, we use the Kano model to identify the user requirements of healthcare workers and construct a hierarchy of functional requirements for protective clothing. Secondly, we use the QFD method to weigh the protective clothing design elements, convert user requirements into design elements, establish a relationship matrix between user requirements and design elements, and generate four conceptual design solutions based on the results. Finally, we use the PUGH decision-making method to filter and select the best concept solution for protective clothing design, and validate the design evaluation. Our results show that the protective clothing solutions designed using the combined Kano-QFD-PUGH system approach have a higher level of satisfaction compared to traditional protective clothing design. This method accurately explores the mapping relationship between user requirements and design functional elements and can be used as a general reliability design method. It helps to improve the development efficiency of designers and the decision-making role for design concept solution preference. Overall, our research methodology provides a comprehensive approach to developing medical protective clothing, which can be useful for designers and decision-makers in the healthcare industry.

A new hybrid MCDM approach for mitigating risks of hazardous material road transportation.

Given the ongoing development of the global economy, the demand for hazardous materials, which serve as essential components for numerous industrial products, is steadily increasing. Consequently, it becomes imperative to devise a methodology for mitigating the risks associated with the road transportation of hazardous materials. The objective of this study is to establish an integrated quality function deployment and multicriteria decision-making (QFD-MCDM) framework and identify the pivotal factors that propel Industry 5.0 (I5.0), thus fortifying supply chain resilience (SCR) and ameliorating the hazardous material transportation risks (HMTR). These measures encompass various strategic areas, including "establish a safe and inclusive work environment", "customized products and services", "enhance production flexibility and strengthen control redundancy", and "real-time data collection and analysis". By adopting these measures, enterprises can lead to sustainable and stable business operations. The findings of this study demonstrate the synergistic potential of integrating I5.0 and SCR in effectively mitigating HMTR. Additionally, these findings offer valuable insights and practical implications for enterprises across diverse industries.

Planning For Increasing The Value Of TKDN Using FTA, QFD, And KPI Methods On Material Wellhead & Christmas Tree at PT Pertamina EP

Abstract. Oil companies in Indonesia are encouraged to increase the use of local content according to the roadmap. The Oil and Gas Company (PT. Pertamina EP) must be an example to comply with and realize these rules. These rules apply to suppliers if they wish to participate in tenders for goods and services. From the QFD method, the main priority that must be increased is the material component wellhead & Christmas tree with a weight of 110. The identification results with the FTA method obtained 22 important events that caused the local content wellhead & Christmas tree not to be fulfilled. The measurement results from key performance indicators in 2024-2025 PT Pertamina EP can meet the Ministry of Energy and Mineral Resources targets of 73.15% and 76.3% in wellhead & Christmas tree material.
 
 Keywords: Local Contents, Strategy Local Contents, Fault Tree Analysis, Quality Function Deployment, KPI

Technology and Its Application in Marketing: Some Insights

Information technology and its advancement is helping the growth of service and relationship building among marketers and it changes the way marketing managers do their job. The use of online, websites, online contests, and promotions, etc. are making the marketing concept very challenging. Concepts like quality function deployment and Kansei engineering are used widely to understand customer needs and to translate them into product design. Also, the availability of Computer-Generated Imagery (CGI) offers a smart alternative for marketers who are focusing on the cost benefits of various marketing solutions. The growth of digital marketing is only set to continue and new technologies such as advances in CGI can dramatically cut the cost of creating advertising campaigns. Different quality concepts like quality function deployment, just in time, etc. utilize technology and modern computer software to improve marketing solutions. The study is an attempt to find out the uses of these technological advancements in marketing using a secondary study approach and it is primarily an exploratory study to investigate various uses of modern technology, quality concepts and their applications.

Use of the quality function deployment tool for the design of a humidity transformer system in drinking water

Water is a resource of vital importance for the life of living beings, the demand required is so great that in some areas of the planet it has begun to be scarce or to restrict use and consumption. In spite of the technological advances and the procedures to send this liquid, zones are detected in which the supply does not arrive, on the other hand every day the world population keeps increasing and generating a greater consumption of the same. The present study makes use of the deployment of a quality function better known as QFD as a way of listening to the voice of users and specifically determining the different aspects that must be addressed for the design of a moisture sensing device, as well as an estimation of the demand focused on the southern zone of Tamaulipas Mexico is also presented in order to know the potential market.

Analysis of the Forming Process of Construction Enterprise Culture Based on the QFD Theory

In order to clarify the direction and way of construction enterprise culture, the method of construction enterprise culture based on quality function deployment (QFD) theory is put forward. Firstly, the paper analyzes the QFD theory and the forming process of construction enterprise culture and considers that the two have strong adaptability in the aspects of basic characteristics, implementation process, and logical relationship. Secondly, based on QFD, the basic framework of construction enterprise culture is established, which is divided into three stages: cultural planning, process planning, and implementation planning. Finally, the paper expounds on each link of the cultural planning matrix in detail.

Determining the Importance of Shaping Requirements Constructing Enterprise Culture Based on QFD

To effectively improve the core competitiveness of construction enterprises, it is necessary to build a unique enterprise culture. In this paper, the adaptability of the quality function deployment (QFD) method in the process of construction enterprise culture construction is analyzed, and the construction process can be divided into three stages: cultural planning, process planning, and implementation planning. Furthermore, an analysis method of shaping requirements of internal and external customers in the formation of construction enterprise culture is proposed, which allows customer representatives to define shaping requirements using preferred phrases. Finally, an example is given to verify the effectiveness and feasibility of the proposed method.

Designing Eco-Friendly Kambuik Shopping Bags: A Quality Function Deployment Approach

Designing Eco-Friendly Kambuik Shopping Bags: A Quality Function Deployment Approach

User-centred machinery design for a small scale agricultural-based community using Quality Function Deployment

ABSTRACT Design Thinking is a user-centred framework that captures unmet needs of users and generates ideas for sustainable solutions. Quality Function Deployment is a tool that translates the voice of customers into engineering attributes required for product and process design. Both concepts are globally adopted in various fields including but not limited to; manufacturing industries, business and service sectors, education, research, health care and social innovation. This study aims to propose a methodological framework that combine principles from user-driven ideation and customer-focused product/process design for the development of a sustainable solution in the context of small-scale agricultural community. The framework is validated with a case study at a learning community centre in Thailand. The machine was built with functions that allowed it to shred plants and mix the fertiliser simultaneously which was well accepted and sustainably used in the community. A policy recommendation based on this study is when working with community-based problems, the designers should immerse themselves with the community to completely understand the problem and solution context. A co-creation between the designers and the community users is encouraged to obtain impactful solutions. Local resources and accessible technology should be taken into account to reassure an effective and sustainable solution.

确定医疗旅游的目的地竞争力： 基于AHP-QFD框架的研究

This study investigates the competitiveness of Alanya, a medical tourism destination in Türkiye, and determines appropriate strategies using the analytical hierarchy process and quality function deployment. Data were collected from medical tourism experts to gain managerial insights into the factors affecting the competitiveness of medical tourism. The findings show that medical tourists primarily focus on medical factors such as competence of doctor and quality of treatment. The main strategies to strengthen competitiveness are to create a healthcare-free zone, to increase the number of accredited health care providers, and to encourage the involvement of doctors in academic research and ongoing training. For researchers interested in assessing competitiveness in medical tourism destinations, the study presents general determinants that should be considered in each destination. In addition, the findings show that each medical tourism destination should focus on its own determinants of medical tourism competitiveness when developing its marketing strategies. Finally, it shows that the analytical hierarchy process and quality function deployment approaches can be successfully applied in achieving destination competitiveness and strategic planning, with content validity and importance performance analysis.

An Application of Quality Function Deployment to Explore a Product Design Concept—A Case Study of a Triple-Effect Green Energy Generator for the Taiwan Environment

Taiwan has been actively promoting renewable energy technologies and applications to achieve sustainable development goals, aiming to increase the share of renewable energy in the domestic electricity structure. Among them, solar energy and wind energy have been developed and matured, especially solar water heaters, which have been popularized in people’s homes. This study proposes a triple-effect green energy generator, which is an innovative concept of combining a solar water heater with a wind turbine and thermoelectric devices, which have been gradually emphasized in recent years. Therefore, quality function deployment (QFD) was used to investigate the customer requirements and engineering measures of the product, and the results show that the product has leakage protection, is waterproof and rustproof, and does not affect health; furthermore, the product is resistant to high temperature and heavy rain, has a stable base, is suitable for most residential conditions, has 24 h operation, and has a remarkable power generation effect. Electricity can be used for general household appliances, which are the most important customer needs, and small wind turbines, energy management systems, and exterior materials are the three most important engineering initiatives to be emphasized. Although this study only analyzes preliminary design concepts, the results can provide references for related or similar product development strategies and contribute to the progress of Taiwan’s sustainable development goals.

Exploring electric scooter regulations and user perspectives: A comprehensive study in Hungary

This paper focuses on the integration of electric scooters into the Hungarian urban transportation system as innovative mobility solutions. This change may provide several social advantages in the country, including environmental and economic benefits as well, to improve the quality of life. In this article, we investigate the policy regulations introduced at government level that facilitate this integration. To bridge the regulatory gap surrounding e-scooters and capture the voice of customers, we employ a Quality Function Deployment (QFD) house, utilizing the data of an extensive investigation involving a literature review, a qualitative social media listening process, two interviews with government officials, seven focus group interviews and a questionnaire. These diverse data sources contribute to a comprehensive understanding of the current landscape and potential improvement directions. By developing the Quality Function Deployment (QFD) house, we determine priority levels for effective problem-solving and enhancement. According to our results, users are eagerly anticipating new laws regulating the usage of e-scooters, such as optimizing speed limits, designating the usage of e-scooter infrastructure, and appointing dedicated parking places. Overall, this study serves as a valuable reference for the government in shaping future e-scooter legislation. By addressing the identified user expectations and incorporating these insights into regulatory frameworks, policymakers can facilitate the seamless integration of electric scooters into urban transportation systems. This integration is expected to yield numerous societal benefits, such as reduced environmental impact, improved mobility options, and enhanced economic viability.