Quality Function Deployment Procedure Research Articles

Quality function deployment model using fuzzy programming with optimisation technique for customer satisfaction

Quality function deployment (QFD) is a customer-driven superiority organisation and product expansion scheme for attaining advanced consumer approval. This document is to inspect the execution of QFD at fuzzy surroundings and to expand equivalent events to contract by the fuzzy data. At this time, regard as the consumer approval limitations are ease, refund and safeness in FQFD (Fuzzy QFD) study using fuzzy logic controller (FLC) by optimisation method. This optimisation method to develop the accurateness values of FLC in QFD procedure, now PSO is utilised for optimisation method. For hard data production, dissimilar relationship utility is employed to the comparative inclination association on fuzzy statistics, it is not essential to develop two fuzzy statistics to obtain standard masses in FQFD. Since, the outcome of fuzzy to recognising the precedence stage of the consumer approval and utmost accurateness stage of the FQFD procedure.

Evaluation Strategy of Hydraulic Crane Through Mathematical Programming: An Automated Approach to Meet Customer Requirement

Purchasing accurate capital equipment to meet the demand of a user in all respect is definitely a strategic decision that involves high initial investment, detailed functional analysis of available alternatives and obtaining the right decision in terms of its productivity, reliability, maintainability and cost. The present study emphasizes upon proper identification and ranking of customer requirements and subsequent technical requirements for four alternative hydraulic cranes taken into consideration. To determine the interrelationship among the customer requirement and technical requirement, the study first employs analytic hierarchy process approach for ranking of customer requirement and checking the consistency of ranking. Next, an analytic hierarchy process–quality function deployment procedure is employed to rank the alternatives based on technical requirement and customer requirement. Further, the cost implications of the equipment are taken into consideration and through a Sensitivity Analysis approach including subjective factor measurement and objective factor measurement, the equipment is ranked. The degree of sensitivity was further verified with a range of values of subjective factor measure for each category of crane. Finally, a zero–one goal programming method is applied to strengthen further the ranking of the equipment applying LINDO platform, where along with the identified technical requirements, agility and reliability are also taken into account. The agility is represented in terms of associated cost implications to meet the technical requirement, whereas the reliability of components is determined by the condition of failure.

Study of Quality Function Deployment Model Based on Artificial Neural Network with Optimization Techniques

In perceptible world the advanced technique is to progress the model of quality function deployment (QFD) procedure with the consumer consummation level in the industry with the help of artificial neural network (ANN) with inspired optimization methods. QFD is a productive instrument for refining customer serenity in the new product planning (NPP) procedure. QFD precedes the voice of the consumer from the commencement of artifact growth and organizes it through the firm. The QFD procedure forecasts the number of percentages (%) in the dissimilar voices of the consumers. In our projected work, consumer level, learning rate, momentum rate, and correlation value are utilized to assess the customer consummation rate in QFD. On the basis of these parameters, the ANN model is used in this hidden layer, and neuron differs for each feature for training procedure-changed algorithms like particle swarm optimization (PSO), harmony search (HS) optimization, and genetic algorithm (GA) are utilized. In this procedure, HS algorithm is used to optimize the hidden layer and neuron, though it achieved better performance when compared with the other methods. The optimization is transpired and the artificial network structure has intended the model of QFD.

Two uncertain chance-constrained programming models to setting target levels of design attributes in quality function deployment

Quality function deployment (QFD) is widely acknowledged as a customer-oriented product design tool, which is generated by translating consumer demands into design attributes of a product. In order to depict the internal ambiguous factors in the development process more appropriately, uncertain variables with a specialized kind of regular uncertainty distributions based on uncertainty theory are applied. Subsequently, two uncertain chance-constrained programming (CCP) models used for formulating the QFD procedure are set forth, whose objectives are maximizing the consumer satisfaction and minimizing the design cost, respectively. To demonstrate the feasibility of the proposed modelling approach, an example of the motorcycle design problem is illustrated, in which the new target levels of design attributes are selected and analyzed according to the decision-makers’ subjectivity and preference at different confidence levels. Additionally, a comparative study between the uncertain CCP approach and another uncertain expected value modelling approach is conducted. The results indicate that uncertain CCP models are more suitable for optimization in the QFD procedure.

Quality Function Deployment Model Using Fuzzy Programming with Optimization Technique for Customer Satisfaction

Quality function deployment (QFD) is a customer-driven superiority organisation and product expansion scheme for attaining advanced consumer approval. This document is to inspect the execution of QFD at fuzzy surroundings and to expand equivalent events to contract by the fuzzy data. At this time, regard as the consumer approval limitations are ease, refund and safeness in FQFD (Fuzzy QFD) study using fuzzy logic controller (FLC) by optimisation method. This optimisation method to develop the accurateness values of FLC in QFD procedure, now PSO is utilised for optimisation method. For hard data production, dissimilar relationship utility is employed to the comparative inclination association on fuzzy statistics, it is not essential to develop two fuzzy statistics to obtain standard masses in FQFD. Since, the outcome of fuzzy to recognising the precedence stage of the consumer approval and utmost accurateness stage of the FQFD procedure.

Critical characteristics for the implementation of mass-customized services

Purpose – This paper aims to propose a method to determine which mass customization (MC) characteristics should be prioritized in mass-customized service design. Design/methodology/approach – Looking at manufacturing MC systems and conducting a literature review, it is not possible to observe a methodological step to define customized service design as the one we propose in this work. Results show a systematic classification of MC characteristics based on MC enablers and service enablers. These enablers are related by a quality function deployment (QFD) matrix and rewritten using a reverse QFD procedure. Findings – In the end, it was possible to determine which characteristics should be prioritized in mass-customized services. Research limitations/implications – Two case studies were performed: one with an electric power supplier and another one with a university. Practical implications – It shows that despite easy customization, organization is not always interest in service features customization. The explanation in these two cases is customization cost, which compared to the benefit does not seem advantageous for the organization. Originality/value – This paper creates a methodology to design a first phase in customized services in Latin American services and that is the original contribution.

Process performance measurement system – towards a customer-oriented solution

Purpose– Based on a systematic literature review, requirements on a PPMS are identified in order to derive concrete demands and design features for such a system by using quality function deployment (QFD). The purpose of this paper is to formulate a proposal for design recommendations toward a holistic, customer-oriented Process Performance Measurement System (PPMS).Design/methodology/approach– A literature review is used to identify customer demands and design features that characterize a PPMS. To determine the critical design features of a customer-oriented solution, the QFD method is applied.Findings– The paper confirms that there is currently no published concept for an integrated, holistic PPMS. Therefore it provides a first approach to the formulation of a design recommendation based on the customer requirements and design features. A literature-based weighting facilitates a first identification of critical design features. The identified conditions specify the context which can be regarded as a prerequisite for the application of the system.Research limitations/implications– As a result of the investigation, two main issues were identified, which restrict the complete development of a House-of-Quality matrix and therefore require further research: First, no reliable relationships between the customer requirements and design features could be derived from the conducted content analysis and second, no correlations between the identified design features could be detected.Practical implications– The paper provides a design basis for specific application systems and their information requirement analyses. It can also serve as an evaluation basis for existing software products in the market.Originality/value– The connection of a literature review with the QFD procedure transfers a consolidated state of PPMS research into an applicable design recommendation and therefore supports rigor and relevance of the research.

Definição de características críticas na implementação de serviços customizados em massa

O objetivo deste trabalho é definir quais características de customização em massa (CM) presentes em sistemas de manufatura podem ser priorizadas no projeto de serviços customizados em massa. Propõe-se uma classificação de importância de características de customização a serem priorizadas na implementação de serviços customizados, tendo-se como critérios os habilitadores de CM e os habilitadores de serviços combinados através de uma matriz de relacionamentos característica do QFD (desdobramento da função qualidade) e corrigidos, a partir da ponderação dos gestores do serviço, usando-se um procedimento de QFD reverso. No final do estudo foi possível determinar as características prioritárias do serviço customizado em massa. Dois casos de estudo foram realizados para exemplificar a operacionalização da metodologia, um em uma distribuidora de energia elétrica e outro em uma universidade privada.

The importance of quality function deployment to organizational business

Organizations management seeking world class status, the relationship betweenquality function deployment and managers is important. For this reason, this article used data collected in the year 2008 from studies in six official and industrial organizations in North- west of Iran. The main purpose was to examine the quality function deployment performance and organizational support activity includinginfrastructure, human resources management and development, technology development, and organizational resources procurement. In other words, data were collected by questionnaires and random sample of employees was selected within the unit of analysis. Factor analysis based on principal component analysis with varimax rotation confirmed that each set of scale was loaded on a single factor and the cronbach's alpha reliability test was used to assess the internal consistency of the summated variable. The examples have clear implications for practitioners who wish to improve organizational performance as far as possible via organizationalsupport activities management and quality function deployment procedure andprocess. It also follows that since organizational support activities management have a major role in bringing quality function deployment and customer satisfaction, the design of these policies should include consideration of how quality function deployment can be applied by quality function deployment procedure and processas possible. The other implication of the research is that organizational supportactivities management, through quality function deployment process, has impact on organizational performance. Key words: Organizational business, quality function, customers’ satisfaction.

English

  It is clear that relative to the elements that were seen as constituting quality function deployment (QFD), the term has evolved considerably. Clearly, the organization’s management seeking competition status appears to be faced with a far more complex task than was the case previously. This article made use of the data collected in the period of 2008 from studies in eight small official and industrial organizations in North West of Iran. However, the main purpose was to examine the organizational primary activities (OPA) and the QFD performance. The examples have clear implications for practitioners who wish to improve organizational performance as far as possible via OPA management and QFD procedure and process. In particular, paying particular attention to QFD as an occupational group with numerous responsibilities and often competing priorities is necessary. The relationship between QFD and their managers is important and we have shown elsewhere how this was the biggest variable explaining QFD levels of affective QFD and customer satisfaction. It also follows that since OPA management have a major role in bringing QFD and customer satisfaction, the design of these policies should include consideration of how QFD can apply them by QFD procedure and process to be as possible. The other implication of the research is OPA management, which through QFD procedure and process, impacts on organizational performance. That is the combination of OPA management, QFD procedure and process, organizational climate and conceptions of OPA need to take account of this wider agenda in both practice and theory.   Key words: Organizational primary activities (OPA), quality function deployment (QFD) procedure and process, customer satisfaction.

Identifying business priorities through quality function deployment

PurposeAlthough important concepts and steps for strategic planning have been identified, there are few practical, systematic and powerful methodologies and tools to support an integrated and well‐managed process. This paper aims at describing in details how the quality function deployment (QFD) methodology can be applied in order to define the strategic priorities of a firm, to establish clear customer needs/expectations and to draw up a range of product and service characteristics in order to enhance customer satisfaction and thus competitive advantage.Design/methodology/approachFrom a methodological point of view, an exploratory case study has been taken with multiple level of analysis and multiple data collection methods. The case study refers to a small manufacturing firm operating in Italy which designs and sells geothermal heat pump systems.FindingsThe proposed methodology provides an excellent mechanism for integrating the important concepts and linking major steps of strategic planning and offers a rigorous methodology for identifying business priorities and developing order winning criteria.Originality/valueIn the last two decades many studies have appeared in the literature regarding the use of QFD procedure in supporting different types of planning. The main problem with these studies is that few explain the details of the process and even fewer present in‐depth case studies to demonstrate the process. Given the intrinsic characteristics of the case study, it is the authors' opinion that the analysis can give relevant indications about the feasibility and general applicability of the proposed methodology.

A QFD approach for distribution’s location model

This article constructs a distribution’s location model, from the perspective of a firm’s customers, suppliers, and employees, by applying a systematic quality function deployment (QFD) approach. The proposed approach aims to assist a distribution company’s location decision in selecting an optimal location that satisfies the overall location requirements. The QFD procedure began by collecting possible candidate location requirements, followed by conducting the first stage of a sampling survey to identify the secondary location requirements. These were then sorted into major categories of location requirements. Then, the location evaluating criteria were derived from the location requirements and a central relationship matrix was established to display the degree of relationship between each pair of location requirement and location evaluating criterion. Furthermore, the second stage of a sampling survey was conducted to collect data for computing the importance weighting for each category of location requirement. During transformation of the QFD, the importance degree and the normalized importance degree of each location criterion were computed, respectively. The normalized importance degree was, finally, used as the evaluating weight in a distribution company’s location model for the analysis of location evaluation. An empirical study regarding the location decision for a distribution center in Taiwan was provided to demonstrate the proposed approach.

The implementation of simultaneous engineering in the stage of product concept development: A process orientated improvement of quality function deployment

Quality Function Deployment (QFD) has been introduced as a method of implementing Simultaneous Engineering. In spite of its achievements so far, QFD does not sufficiently link engineering to marketing and marketing science. The QFD procedure takes neither the development of market orientated or constructional product concepts, nor the coordination of both into account, although they play an important role in product definition. In order to overcome this and other deficiencies of the traditional QFD method, the author develops the process model of ‘Integrated Concept Development’ (ICoDe). It is proposed to fill the gap between marketing science and engineering by consequently relating market orientated concept development and testing to the House of Quality concept of QFD. The ICoDe process is described by refering to a ‘simulated’ application example of a wind turbines concept development.