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CEREAL FOODS WORLD 2003年第2期48卷 96-98页

作者： Stauffer, JE Stauffer Technol Greenwich CT USA

For some time I've wondered what "quality function deployment" means. Used asthe title of several books and as the subject of recent panel discussions, this phrase struck me asjust so much gibberish. Is it a military maneuver, or a mathematical function? What is itsconnection with quality? However strange the expression may sound, the concept is significant toanyone concerned with quality assurance. You would never guess the connection, but quality functiondeployment or QFD is a proven management process for addressing the concerns of customers. Themethodology is designed to determine what customers like and do not like, and how best to meet theirneeds.

关键词： quality function deployment

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quality function deployment

Quality function deployment

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International Congress and Exposition

作者： Morrell, Norman E. Budd Co.

quality function deployment is a technique that identifies customer requirements and provides a discipline to assure that those requirements drive product design and process planning. The technique originated in Japan and has been considered of primary value in new product design. Greater in-depth evaluation provides insight to the knowledge that this technique has value beyond new product design. The technique can improve existing processes and has application to new and existing systems not only related to the product we make and sell, but related to the product of our efforts. © Copyright 1987 Society of Automotive Engineers, Inc.

关键词： quality function deployment

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An innovative method for improving hotel service using implicit requirement generation and quality function deployment

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JOURNAL OF RETAILING AND CONSUMER SERVICES 2025年 84卷

作者： Zhao, Meng Zhang, Yimai Zhang, Chenxi Wang, Yaqi Northeastern Univ Sch Business Adm Shenyang 110819 Peoples R China City Univ Macau Fac Int Tourism & Management Taipa 999078 Peoples R China Northeastern Univ Qinhuangdao Sch Management Qinhuangdao 066004 Peoples R China

This study addresses the challenge of implicitly expressed traveler requirements in user-generated content (UGC). It proposes an innovative method to assist service managers in improving the quality of the overall service experience. Specifically, this paper employs the dependency syntactic analysis combined with co-occurrence information to extract and complete sentiment quadruples, addressing incomplete review expressions where travelers omit the subject or predicate. Additionally, considering the internal correlation of different traveler requirements, the quality function deployment (QFD) model is utilized to assess priorities for hotel service improvements. Taking 12 Jinjiang Inn Hotels in Beijing as a case study, this paper identifies 13 traveler requirements based on 9810 valid reviews. Moreover, the evaluation of 10 hotel service improvements reveals that "special catering" as a key area for prioritization and enhancement to add value. In summary, this paper proposes a method that uncovers travelers' implicit requirements from their implicit expressions and effectively fills a critical gap in existing research on service improvement prioritization by incorporating the internal correlation of requirements.

关键词： Implicit requirement mining User-generated content quality function deployment Service improvement priorities

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Implementation of quality function deployment Technique to Identify Engineering Characteristics of Novel Low-Cost Viscous Jaggery Filling Automation System 1

Implementation of Quality Function Deployment Technique to I...

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1st International Conference on AIML-Applications for Engineering and Technology, ICAET 2025

作者： Patil, Sumit Waghmode, Laxman Shivaji University Department of Technology Maharashtra Kolhapur India College of Engineering and Technology Department of Mechanical Engineering Annasaheb Dange Maharashtra Ashta India

ISBN: (纸本)9798350355611

Jaggery, a natural sweetener made by heating fresh sugarcane juice, plays a significant role in India's agro-processing industry, particularly in the Micro, Small, and Medium Enterprises (MSME) sector. India produces and exports 313,826 BT of jaggery, valued at 230.03 million USD. This traditional industry, largely operated by rural farmers, has relied on labor-intensive methods for years, requiring significant manpower for tasks such as sugarcane feeding, scum removal, syrup stirring, and mold filling. One pressing issue facing this sector is labor scarcity, as the strenuous nature of the work often leads to fatigue. Among all tasks, filling the hot, viscous jaggery into molds is particularly crucial, as it requires constant wrist and finger movement, exposure to heat, and quick execution within a limited time. To address this, the study suggests implementing Low-Cost Automation (LCA) to make the jaggery filling process more efficient, safe, and hygienic. quality function deployment (QFD) was applied to determine the key engineering characteristics of an LCA-based filling system. A survey was conducted across 90 participants, including jaggery plant owners, technicians, and workers, from both conventional and automated units. The QFD analysis highlighted that factors like LCA implementation, dedicated filling setup, predefined dispensing quantity setting, low cycle time, and human contactless filling process are crucial for improving customer satisfaction and operational efficiency. © 2025 IEEE.

关键词： quality function deployment

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Informing Starch-Based Food Product Designs With Seaweeds Using an Analytical Kano-quality function deployment Model

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JOURNAL OF TEXTURE STUDIES 2025年第2期56卷 e70007页

作者： Cullano, Reciel Ann Tiu, Ann Myril Evangelista, Samantha Shane Ocampo, Lanndon Cebu Technol Univ Inst Food Sci Innovat & Technopreneurship Cebu Philippines Cebu Technol Univ Ctr Appl Math & Operat Res Cebu Philippines Univ Portsmouth Ctr Operat Res & Logist Portsmouth England

Developing starch- based food products poses challenges in achieving an optimal nutritional profile and functional qualities. Adding seaweed is essential to potentially enhance these products' nutritional and functional attributes. This study addresses the development of an analytical tool based on the Kano- quality function deployment (QFD) model to guide food product design teams and demonstrates this tool in designing new starch- based food products enhanced with seaweeds. The analytical tool is illustrated in two starch- based food products (i.e., fish crackers and fresh noodles) with evaluations populated by 14 experts while comparing the effects of adding seaweed on fulfilling consumer requirements. In the case study 1 (n = 172), 13 consumer requirements for fish seafood crackers were considered, with texture (0.1078), crispness (0.1053), and flavor (0.1038) receiving the largest aggregate weights. Among 21 technical attributes, frying time (3.4755), amount of seaweed (3.4258), and type of seaweed (3.3297) were ranked the highest. In the case study 2 (n = 159), 14 consumer requirements for fresh noodles were evaluated, with texture (0.1542), smoothness (0.1491), and natural taste (0.1432) identified as top priorities. From 12 technical attributes, the amount of seaweed (4.0418), type of seaweed (3.9465), and amount of starch (2.9025) were ranked the highest. In addition, competitive analyses of the starch- based food products with their respective competitors were implemented. Findings show that integrating seaweeds into crackers and noodles can significantly enhance their texture, flavor, and nutritional content, meeting key consumer requirements for crispness in crackers and chewiness in noodles. Such an integration can also impart a unique umami taste and boost health benefits, appealing to health- conscious consumers and providing a competitive edge in the market.

关键词： analytical Kano model product design quality function deployment seaweeds starch-based food products

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User-centric sustainable design in mass-customized housing using Kano model and quality function deployment

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ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT 2025年

作者： Lee, Pei-Hsuan Han, Qi Eindhoven Univ Technol Dept Built Environm Eindhoven Netherlands

With the rise of individual consumerism, housing developers have increasingly recognized the advantages of mass-customized housing and offered customized units for target groups. However, overall building designs are often standardized rather than tailored to user needs, particularly in the integration of sustainable features. Accordingly, this study employed the Kano model and quality function deployment (QFD) approach to examine users' requirements for sustainable features and proposed tailored design strategies for mass-customized housing. After identifying 17 sustainable features through a literature review, the study analyzed 576 valid questionnaires using the Kano model to identify common and unique requirements across four age groups. The results reveal distinct priorities for different groups regarding particular features, including 'Well-proportioned units,' 'Rational building layout,' 'Livability,' 'Convenience,' 'Energy and water efficiency,' and 'Use of local and ecological materials.' Moreover, this study proposed 31 design strategies corresponding to sustainable features and categorized them into three zones using QFD, which serve as tailored solutions. This study recommends that architects gradually adopt these zones in mass housing to promote overall building designs in the move toward full customization. The study also identifies difficult-to-implement strategies and three relevant barriers, two barriers related to cost and supply chain that require government intervention, and one barrier that necessitates further exploration of users' willingness to incur additional costs resulting from these strategies. This research provides valuable insights into, and a systematic methodology for, mass-customized housing projects, thus promoting user-centric and sustainable living environments.

关键词： Kano model quality function deployment mass-customized housing sustainability

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Service defects identification by integrating fuzzy clustering and optimization model with quality function deployment

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Applied Soft Computing 2025年 176卷

作者： Li, Xiaobing Wang, Yujun He, Zhen School of Management Science and Engineering Dongbei University of Finance and Economics Dalian China College of Management and Economics Tianjin University Tianjin China

Service defect is critical for the success of fresh product instant delivery (FPID) service. Therefore, the identification and prioritization of such defects is an important demand from FPID companies. quality function deployment (QFD) can help companies identify and prioritize service defects. However, existing research based on QFD failed to consider the subjectiveness and similarity of evaluation information simultaneously while neglecting the integration of service quality characteristics and customer expectations. To fill these gaps, a novel methodology based on QFD model and optimization model is proposed. Firstly, a two-phase QFD framework for FPID service is developed to establish service quality characteristics, strengthening the relationship between customer requirements and service quality characteristics. To address the fuzziness and similarity of evaluation information, a new analysis model, named L-FCM-HOQ, by integrating Linguistic terms, Fuzzy C-Means (FCM), and House of quality (HOQ) is proposed to determine related weights in QFD. Secondly, a decision variable, "improvement rate" is introduced to determine service defects among service quality characteristics and quantify their improvement degrees. Based on this decision variable, a multi-objective optimization model is constructed to derive optimal improvement strategies aligned with customer expectations. Finally, the proposed methodology is illustrated with a case study regarding a FPID company of China, and its efficiency and advantages are verified via comparative analysis. The proposed methodology effectively identifies service defects and assesses improvement potential, contributing to the development of FPID service quality and actionable insights to guide the FPID companyies in achieving sustainable improvement. © 2025 Elsevier B.V.

关键词： quality function deployment

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Implementation of quality function deployment Technique to Identify Engineering Characteristics of Novel Low-Cost Viscous Jaggery Filling Automation System

Implementation of Quality Function Deployment Technique to I...

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AIML-Applications for Engineering & Technology (ICAET), International Conference on

作者： Sumit Patil Laxman Waghmode Department of Technology Shivaji University Kolhapur Maharashtra India Department of Mechanical Engineering Annasaheb Dange College of Engineering and Technology Ashta Maharashtra India

ISBN: (数字)9798350355611

ISBN: (纸本)9798350355628

Jaggery, a natural sweetener made by heating fresh sugarcane juice, plays a significant role in India's agro-processing industry, particularly in the Micro, Small, and Medium Enterprises (MSME) sector. India produces and exports 313,826 BT of jaggery, valued at $230.03 million USD. This traditional industry, largely operated by rural farmers, has relied on labor-intensive methods for years, requiring significant manpower for tasks such as sugarcane feeding, scum removal, syrup stirring, and mold filling. One pressing issue facing this sector is labor scarcity, as the strenuous nature of the work often leads to fatigue. Among all tasks, filling the hot, viscous jaggery into molds is particularly crucial, as it requires constant wrist and finger movement, exposure to heat, and quick execution within a limited time. To address this, the study suggests implementing Low-Cost Automation (LCA) to make the jaggery filling process more efficient, safe, and hygienic. quality function deployment (QFD) was applied to determine the key engineering characteristics of an LCA-based filling system. A survey was conducted across 90 participants, including jaggery plant owners, technicians, and workers, from both conventional and automated units. The QFD analysis highlighted that factors like LCA implementation, dedicated filling setup, predefined dispensing quantity setting, low cycle time, and human contactless filling process are crucial for improving customer satisfaction and operational efficiency.

关键词： Productivity Industries Heating systems Wrist Viscosity Surveys Automation quality function deployment Filling Maintenance

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An enhanced multidimensional requirement oriented quality function deployment method for sustainable self service machine design

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Scientific Reports 2025年第1期15卷 1-19页

作者： Zhu, Liang Husin, Mohd Heikal School of Computer Sciences Universiti Sains Malaysia Penang Gelugor 11800 Malaysia School of Artificial Intelligence and Big Data Chongqing Industry Polytechnic College Chongqing 401120 China

Self-service machines provide round-the-clock access to various services, enhancing operational efficiency, reducing waiting times, and minimizing human errors. However, their design has traditionally prioritized business functionality and user experience, with minimal attention to sustainability principles. As finite resources and environmental concerns gain prominence, embedding sustainability into self-service machine design is crucial for promoting resource efficiency, environmental protection, and social responsibility. Current sustainable product design methods tend to focus on environmental features, often overlooking the multidimensional requirements necessary for a balanced approach. Addressing this gap, this study proposes an enhanced multidimensional requirement-oriented quality function deployment method, which uses multiple one-dimensional quality of houses to independently process requirements across different dimensions. This approach effectively reduces the complexity associated with traditional quality function deployment, enabling a more comprehensive and strategically aligned design process. By prioritizing key sustainability dimensions, this method offers a robust framework for developing sustainable self-service machines, aligning design outcomes with sustainability goals. © The Author(s) 2025.

关键词： Multidimensional requirement quality function deployment Sustainable development Sustainable product design Sustainable self-service machine

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quality function deployment based failure mode and effect analysis approach for risk evaluation

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NEURAL COMPUTING & APPLICATIONS 2021年第16期33卷 10159-10174页

作者： Efe, Burak Efe, Omer Faruk Necmettin Erbakan Univ Dept Ind Engn TR-42060 Konya Turkey Afyon Kocatepe Univ Dept Ind Prod Design TR-03030 Afyon Turkey

The traditional failure mode and effect analysis (FMEA) aims to define the risk priority number of each failure mode by multiplying occurrence, severity and detection parameters of each failure mode. Many studies in the literature commented the traditional FMEA due to its limitations such as equal importance degrees, discrete ordinal scales and multiplication of O, S and D criteria. This study suggests coping with these drawbacks a new method, which combines the quality function deployment (QFD) method under interval type-2 fuzzy set, Bayesian network and VIKOR method. The previous studies generally handle to rank the failure modes as only goal. This paper investigates concurrently the failure modes and the reasons of failure modes. QFD method provides us this benefit by employing customer requirements (CRs) and design requirements (DRs). CRs are the reasons of failure modes while DRs are failure modes. This study presents a new perspective to examine the correlations of CRs and DRs as linguistic terms by using Bayesian network. The VIKOR method deals with ranking the failure modes by aggregating the weights of O, S and D criteria. The developed method is utilized for risk evaluation of tile and marble works in building construction. The result shows that the most significant design requirement or failure mode is DR14 (unsuitable plug-socket utilization).

关键词： quality function deployment Risk evaluation VIKOR Interval type-2 fuzzy number Bayesian network

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