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Practical manual of quality function deployment
This book introduces into the practical application of Quality Function Deployment (QFD) beyond the famous House of Quality Matrix by presenting a fully developed example of a clear and comprehensive QFD framework. The QFD workflow is described step by step, encompassing strategic planning, customer surveys, product and service characteristics, mechanisms, parts and cost deployment, technologies, process phases and faults analysis. The model, as presented with practical suggestions, can be used in firms with low resources and/or need for speed. In addition, a chapter is dedicated to the most common âءءfuzzyâءء algorithms, explained for professionals and the book closes by describing in detail some QFD case studies. This book will be of interest to all who wish to use QFD to respond to and satisfy customer requirements effectively.
Book
Integrating sustainability and remanufacturing strategies by remanufacturing quality function deployment (RQFD)
The objective of this paper is to ensure remanufacturing by considering the possible design, material and process changes. A novel remanufacturing quality function deployment (RQFD) was developed to bring out the possible changes to the existing product. To accomplish the above objective, RQFD phase I (voice of customer to engineering metrics) and RQFD phase II (engineering metrics to components of case product) were developed. Based on the results, the improvements options in design, process and materials were identified. The sustainability performance for the original and modified design was identified to understand the environmental benefits achieved through the proposed method. The proposed method has been applied to brake caliper components. The practical applications of the research are expected to help the manufacturers of brake calipers to minimize negative impacts on the environment, energy conservation and natural resources and are safe for stakeholders and are economically sound.
Journal Article
The Implementation of Maintenance Quality Function Deployment (MQFD) to Improve the Quality Maintenance Management for the Upstream Oil and Gas Industry
The global energy market is still dominated by oil and gas energy. Pipeline is one of the most efficient means of distributing crude oil. In an oil and gas production unit, pipes are a means that often fails. A pipeline will operate optimally if it gets good maintenance. The concept of Total Productive Maintenance (TPM is an implementation subject that includes the concept of quality improvement engineering, or commonly known as TQM), but in its application, TPM eliminates one of the strategies in TQM, which reflects the voice of the operator (user’s voice) to influence quality improvement ongoing maintenance, so as to perfect the TPM approach, a supporting technique is needed that can reflect the operator’s voice, namely QFD, so that the combination of the two methods or so-called Maintenance Quality Function Deployment (MQFD) models is considered to be able to improve the quality of maintenance because it is a more comprehensive approach, and involves all elements involved, so that the expected quality improvement can be in accordance with the rules of total quality management Based on the results of the TPM parameter calculation, it is known that all OEE values have met the world’s standard of 86%. in carrying out its operations there are still reports of damage, leakage, and vandalism in the production pipeline. Based on the results of the identification of user’s voice, there are 19 attributes of maintenance quality that must be prioritized.
Journal Article
A User Requirement-driven Approach Incorporating TRIZ and QFD for Designing a Smart Vessel Alarm System to Reduce Alarm Fatigue
Alarm fatigue is a critical safety issue, as it can increase workload and impair operators' situational awareness. This paper proposes a design methodology to enhance the interaction between alarm systems and operators. Through input from VTS personnel as the fundamental design requirements, a user requirement-driven design framework is proposed. It integrates quality function deployment, the theory of inventive problem solving, and software quality characteristics into three design phases. In Phase I, user requirements are obtained from the analysis of current working processes. Phase II investigates the specific non-functional design requirements of vessel alarm systems and the contradictions. In Phase III, the innovative principles generated with the contradiction matrix were analysed. A case study was conducted to verify and illustrate this framework, resulting in a conceptualisation design of a smart vessel alarm system.
Journal Article
Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach
Global competition and market uncertainty has forced organizations to become more responsive and efficient which thereby drives interest in the concept of supply chain leanness and agility. The leagile supply chain management paradigm includes lean and agile principles and has attained greater importance in the current scenario. The objective of this work is to identify the most appropriate leagile enablers for implementation by companies based on the characteristics of the related market by linking competitive bases, leagile attributes and leagile enablers. In this paper, a quality function deployment (QFD) approach integrated with analytical hierarchy process and technique for order preference by similarity to ideal solution is proposed to enhance the leagility of the supply chain. Fuzzy logic is used to deal with linguistic judgments expressing relationships and the correlations required by QFD. The presentation of a case study from the Indian food processing industry illustrates the proposed methodology. This approach will help the management to exploit the most influential enablers in achieving the desired degree of leagility.
Journal Article
Appraising the triple bottom line utility of sustainable project portfolio selection using a novel multi-criteria house of portfolio
Sustainable development is one of the most fundamental scientific and practical fields of development in modern societies which its importance is more comprehensible in underdevelopment countries. Project management methodologies have been incorporated sustainable criteria to enhance the quality of their scope. The purpose of this research is to design an effective three-stage novel combination approach to estimate the sustainability utility of projects based on the sustainable principles and the ranking of projects through a novel multi-criteria house of portfolio in analytical network process (ANP) and quality function deployment (QFD) approaches. In the first step, using Sustainable Balanced Scorecard, key sustainability indicators are identified for ranking projects; then, using the QFD-ANP combination approach, identifying the relationships between the indicators, determining their significance and ranking projects are being implemented. Finally, the estimation of the sustainability utility function of reference projects is made according to the ranking of the projects from the QFD-ANP stage and using the UTASTAR method. The results of this research, in addition to identifying key indicators of sustainable development and classifying them in the form of Sustainable Balanced Scorecard, contain a prioritization pattern to select sustainable projects for current and future projects in an automotive company.
Journal Article
Combining quality function deployment with simple additive weighting for interval-valued fuzzy multi-criteria decision-making with dependent evaluation criteria
In the past, lots of multi-criteria decision-making (MCDM) methods included simple additive weighting (SAW) extended under fuzzy environment into multi-criteria decision-making (FMCDM) methods to encompass uncertainty and vagueness of data. The extensions were first used in FMCDM with independent evaluation criteria, and then, FMCDM could be associated with quality function deployment (QFD) to break the tie of dependent evaluation criteria. Commonly, alternative ratings and criteria weights in FMCDM were expressed by general fuzzy numbers (i.e., triangular or trapezoidal fuzzy numbers). Recently, some approaches proposed FMCDM with independent evaluation criteria under interval-valued fuzzy environment. For interval-valued fuzzy numbers, FMCDM with dependent evaluation criteria was scarcely elaborated due to computation complexity. Besides, QFD was also generalized under some fuzzy environments consisting of triangular fuzzy numbers or trapezoidal fuzzy numbers, but not interval-valued fuzzy environment. Practically, interval-valued fuzzy numbers are deemed as a kind of fuzzy number that can grasp more information than other fuzzy numbers, but the kind of fuzzy number is more complex on computation than others. Based on above, we desire to extend QFD and SAW under interval-valued fuzzy environment for FMCDM with dependent evaluation criteria. By a rational technique of combining QFD with SAW under fuzzy environment, the computation tie of interval-valued fuzzy numbers corresponding to dependent evaluation criteria is resolved, and more messages are grasped than using other fuzzy numbers in FMCDM.
Journal Article
Application of fuzzy quality function deployment for sustainable design of consumer electronics products: a case study
With a steep increase in the demand for consumer electronics products, the contemporary manufacturers are committed toward sustainable development of such products. There exists a scope for developing a methodology for enabling sustainable development of consumer electronics products. In this context, fuzzy quality function deployment (QFD) approach has been presented in this article in order to prioritize relevant customer requirements, sustainability parameters and sustainability initiatives. Key influential parameters for sustainable development of consumer electronics products have been identified from the literature. In the first phase of fuzzy QFD, parameters influencing sustainable development have been prioritized in accordance with customer requirements. In the second phase, environmental design initiatives have been prioritized based on critical sustainability parameters. From phase I of fuzzy QFD, ‘reduction in environmental release’ has been found as the most significant sustainability parameter with a crisp value of 22.83, and from phase II, environmental impact assessment is proved to be the significant design method with a crisp value of 20.40. The methodology would provide a comprehensive understanding to practitioners on the interrelationships among customer requirements, sustainability parameters and environmentally benign initiatives for development of consumer electronic products. The generic model developed can be applied to most of the consumer electronics product
Journal Article
Designing technical specifications for goyor woven fabric as material for civil servant official uniforms using quality function deployment and conjoint analysis
Sragen regency has a traditional woven fabric called goyor woven, whose presence is disappearing. One way to revive its existence is to encourage its use as the material for official uniforms of Sragen civil servants. For this purpose, there is a need to research the most preferable design of the goyor woven fabrics by the civil servants. The aim of this research is to determine the technical specifications of the goyor woven fabric by combining the characteristics of the goyor fabric and the preferences of Sragen civil servants. The method used is integrated QFD with conjoint analysis. QFD is used to translate consumer voices into technical specifications while conjoint analysis is used to find the best combination of the proposed goyor woven fabric design with the technical specifications. The initial result of the research indicates that the technical specifications of the goyor fabric design that is formed are red and blue fabrics with floral and geometric patterns. Based on conjoint analysis the option that best suits the preferences of Sragen civil servants is the combination of blue goyor fabric with geometric pattern.
Journal Article
An improved FMEA analysis method based on QFD and TOPSIS theory
In order to solve the fuzziness in calculating the risk priority number in traditional failure modes and effect analysis (FMEA), a ranking method of failure mode improvement priorities based on technique for order preference by similarity to ideal solution theory was proposed firstly. An integrated analysis model based on FMEA and quality function deployment (QFD) was proposed to fully consider the interaction between various failure modes and the customer satisfaction degree with product performance, economy, and service. The importance of customer requirements is obtained by using the analytic hierarchy process, and the importance of technical characteristics is obtained by using weighted geometric average algorithm. Then the importance of the technical characteristics is converted to the correction coefficient to the FMEA evaluation, so as to obtain the relative harmfulness of each failure model. The proposed integrated model makes up for the deficiencies in FMEA that the relevant information of customer requirements and technical characteristics can not be used as the basis for judging failure mode improvement priorities, and the expansion of each stage of QFD can provide information and basis for the analysis and evaluation of the failure modes in the FMEA. A case of failure modes and effect analysis of a certain diesel engine fuel system was taken as an example to illustrate the proposed method.
Journal Article