Integration Of Quality Function Deployment Research Articles

Sustainable design of the household water treatment systems using a novel integrated fuzzy QFD and LINMAP approach: a case study of Iran

There is a high possibility that pursuit of water policies goals which could have impacts on water security. Decision makers are interested in developing the water management systems to establish sustainable demand for secured water. The aim of the paper is to analyze the sustainability indicators (SIs) related to designing of the household water treatment system (HWTS). Thirteen criteria like solid waste, liquid waste, air pollution, initial cost, operation and maintenance costs, transport cost, satisfaction, purchasing power, social acceptance, health, reliability, after sales service, and technological capacity in four categories including environmental, economic, social and technical aspects have been considered. These criteria affect HWTS. These criteria are evaluated by taking into account the customer requirements (CRs) and design requirements (DRs) of HWTS. The objective of this study is to design sustainable HWTSs. This is achieved by an analytical approach integrating quality function deployment (QFD) and a linear programming technique for multidimensional analysis of preference (LINMAP) under fuzzy environment for guiding HWTSs manufactures. Fuzzy QFD-LINMAP approach is used to investigate the roles of the study criteria and the interrelationships between them. The HWTSs development in the city of Behbahan, Iran, is considered. The findings indicate that operation and maintenance costs (with value of 0.0522) is the most important sustainability indicator in the CRs and the least important is technical capacity (with value of 0.1096). The most important sustainability indicator in DRs is purchasing power (with value of 0.0207), and the least important is liquid waste (with value of 0.1469). The results show that sustainability strategies are selected for water treatment systems constraints and the model provides compromise solutions to help decision makers evaluate suitable water policy mix.

Balancing user requirements and implementation difficulties in the requirements engineering of production tools for user-generated content: a case study of an animation application

Some content forms, such as animation, are superior in many aspects but rarely created in UGC systems partially due to the lack of available content-producing tools. Requirements engineering of User-Generated Content project can be difficult because of the diversities of user types, user abilities and client performance resulted from heterogeneous stakeholders. Based on the joint perspective of requirement analysis and quality control, this paper aims to propose an Exploratory Factor Analysis (EFA) integrated Quality Function Deployment (QFD) method. It divides users into expert and regular users, and allows the former to directly participate in design decisions and the latter to participate in prioritization. A case study of the requirements engineering of a Web-based animation application was carried out. The results showed the applicability of the proposed method to develop and manage requirements from all stakeholders. The integration of EFA contributed to the identification of unstated requirements to some extent. Also, the House of Quality was constructed and the quality requirements were obtained during the analysis. This approach helps analysts to sort out the priorities of user and technical requirements and achieve balance between them.

Integration Of Quality Function Deployment (QFD) And Value Engineering In Improving The Quality Of Product : A Literature Review

Product development using the QFD method is often applied in the industry to meet customer satisfaction by improving quality. Quality improvement is an important factor for a company to be able to maintain its existence in the industrial world. Value engineering is used to provide improvements to the materials used to reduce production costs. This paper discusses the Integration of QFD with Value Engineering in the product planning process. QFD improves service/product performance based on customer requirements, whereas Value Engineering changes the cost of a service with product regardless of mode of work and quality. The combination of QFD and Value Engineering methods focuses on costs and improving services and products. This paper describes the integration of the two methods given the implementation simulation implementation. The methodology is used to collect, analyze, and display data used for the design process. This paper summarizes the experience gained during implementing QFD and Value Engineering for component redesign improvements. Research shows that this method is used to keep the team focused in carrying out the design.

Ramping Up Customer-Centric Modular Design Projects: Mobile App Development for Pandemic Relief

Today’s fast-growing demands at the global level for mobile applications (apps) cause customers to call for the customization of their apps to fit their individualized needs and business realms. Customization is a challenge for apps-development companies when they want to satisfy their numerous users in a crowded competitive market. Moreover, pursuing customization involves additional challenges when ramping up app development projects in order to meet demands at a larger scale. To address this challenge, we proposed a framework to systematize and support mobile apps’ development consistently with a customer-driven approach and modular design philosophy. From a practical point of view, the proposed framework integrates quality function deployment (QFD), axiomatic design (AD) principles, and practices from the ITIL (Information Technology Infrastructure Library) framework. The framework supports a systematic process for translating customer needs into design parameters as well as supporting prioritization of ITIL practices for further development. The effectiveness of the framework was explored in practice through a case study about an app supporting relief in the 2020 COVID-19 pandemic, as well as a survey among potential users. The assessment of the framework indicated an average score ranging between 3.58 and 3.92 in a five-point Likert scale for all of the items used in the survey.

Integration of Quality Function Deployment and Value Engineering: A Case Study On Waiting Chair Products

Integration of Quality Function Deployment and Value Engineering: A Case Study On Waiting Chair Products

Integration of Quality Function Deployment and Analytical Hierarchy Process in Developing Digital Application Features

The development of digital technology is increasingly developing along with the emergence of the industrial concept 4.0. Indirectly, this creates opportunities for the macro and micro industries located in cities and villages. Analysis of visitor needs and application feature priorities were carried out in this study for the development of android applications in the “Ponggok Village” and “Cikoromoy Village”. The purpose of this study is to make it easier for visitors to know the tourism objects in the village. Quality Function Deployment (QFD) and Analytical Hierarchy Process (AHP) are used as a basis for designing digital application designs. Identification of visitor needs is obtained by using QFD methods and ranking of application features is obtained by using methods. Finally, two villages were compared in order to developing an integrated digital application.

An Integrated QFD-FEA Framework for Evaluation of Nigeria Garment Designs

Consumers’ perceived quality of imported product has been an impediment to business in the Nigeria garment industry. To improve patronage of made- in-Nigeria garment designs, the first step is to understand what the consumer expects, then proffer ways to meet this expectation through product redesign or improvement of the garment mass production process. The purpose of this study is to investigate drivers of consumers’ value for typical Nigerian garment design (NGD). Using survey data from 522 respondents, an integrated quality function deployment (QFD) and functional, expressive and aesthetic (FEA) Consumer Needs methodology helps to minimize incorrect understanding of potential consumer’s requirements in mass produced garments. Out of the sixteen identified quality characteristics, six themes emerged as drivers of consumer’s satisfaction: (1) Style variety (2) Dimensions (3) Finishing (4) Fabric quality (5) Garment Durability and (6) Aesthetics. Existing NGD is found to lead foreign designs in terms of its acceptance for informal events, style variety and fit while there is a need for improvement of other quality characteristics. Local designers may consider adoption of QFD-FEA framework to improve quality of NGD, overall customer’s acceptance and NGD mass production process. A conceptual model of NGD acceptance in the context of consumer’s inherent characteristics, social and the business environment is proposed.

The Implementation of Integrated Quality Function Deployment (QFD) and SWOT Analysis in the Quality Improvement Strategy of Jackfruit Chips

Abstract Quality is one inseparable attributes that should be noted in fulfilling consumers’ need and expectation. Each product must have certain advantages in order to be able to compete in the market. Customers’ loyalty is the key to sustainable quality improvement. CV X is a business unit located in Malang selling various snack souvenirs products from Malang. This souvenirs shop has become one of the main destinations for shopping snack souvenirs in Malang. Furthermore, jackfruit chips are one of the most popular fruit chips sold by CV X. The increasing popularity of jackfruit chips in the market will affect the quality expected by consumers. Quality Function Deployment (QFD) is one of the most effective tools that can support a company or business unit by creating a response to consumer needs, explaining consumer’s demand toward certain products and determining any process needed to meet consumer’s expectations. The objective of this study is to analyze several attributes that affect consumer satisfaction on jackfruit chips produced by CV X. The results of this study suggest that a product with stable volume is in the first place with the value of 7. Meanwhile, from the data analyzed with Strength Weakness Opportunity Threat (SWOT) Analysis, the result indicates that the product value is on the S-O position, with specific indicators of having a competitive price and market leader. Keywords : jackfruit chips, improvement strategy, quality function deployment

Sustainable postal service design: integrating quality function deployment from the customers perspective

The need of the hour today is to incorporate sustainable principles to the public postal service facilities to withstand in the market. This paper objective is to develop a model to explore the quality function deployment (QFD) concept and technique to be incorporated in India post service operations. It aims to support sustainability by finding customer factors (queries) that affect service quality design/dimensions. This survey will be helpful, to understand how India post can remain strategically sustainable for the next few decades. It has an extensive network of logistics to serve customers throughout the country. This study improves QFD tools for the postal service quality design known as House of Quality Sustainable Design.

Integration of Quality Function Deployment and Kano Model in Service Business

The purpose of this study is to determine the priority of customer requirements and technical responses for restaurants using the Quality Function Deployment (QFD) with the integration of the Kano Model. The data is collected through direct observations, interviews, and surveying of 150 respondents who are customers of restaurant B in Bandung. The data is analyzed by combining Kano Model with QFD in helping to build the first matrix in the House of Quality, namely the customer input matrix. This matrix together with other matrices forms a complete building of House of Quality. The findings show that there are six service attributes in a 'must-be' category. The two technical responses that should be prioritized for improvement because their importance level is above average are improvement of the facilities and maintenance of the facilities for the consumers. The two most highlighted facilities include a place of worship that is comfortable and clean, and a larger parking area.

Development of an Integrated Quality Function Deployment and Utility Theory Weighting System to Improve Occupants' Satisfaction

AbstractStudies have shown that occupant satisfaction is a compelling factor affecting building energy consumption. Occupants' behavior has a direct relationship to their satisfaction, and it is cl...

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.

Collaboration quality assessment for sustainable supply chains: benchmarking

PurposeThe purpose of this paper is to propose an instrument to evaluate the collaboration quality of sustainable supply chains by considering collaboration behaviour and sustainability factors.Design/methodology/approachThe proposed model integrates Quality Function Deployment (QFD), Fuzzy Analytical Network Process (FANP) and Data Envelopment Analysis (DEA) to assess the efficiency score of each stakeholder involved. A case of a sugar company in Indonesia was analysed as the illustration of the application of the model.FindingsThe integrated QFD-FANP-DEA method enables to incorporate collaboration behaviour and sustainability factors in a single assessment model. The results of the case study showed the benchmarking results associated with the performance variance of stakeholders and the number of samples.Research limitations/implicationsFuture research could consider other DEA approaches, extend the research by simulating a different number of scenarios and evaluating the improvement/deterioration, and expand the scope of collaboration.Practical implicationsEach stakeholder will be able to obtain the collaboration assessment results, and the improvements suggested by the model.Social implicationsSmallholders and farmers will be able to increase their benefits by using the existing resources.Originality/valueThis paper provides a methodological contribution by introducing new collaboration quality assessment methods that can accommodate any variance in multi-stakeholders, involve qualitative and quantitative measurements, and benefit all stakeholders.

An Innovative Model to Choose E-Commerce Suppliers

Supplier selection for aquatic products E-commerce has aroused widespread concern due to the characteristics of fresh products and the popularity of the network. This paper proposes a novel fuzzy group decision method, which not only integrates quality function deployment (QFD) and improved technique for order preference by similarity to the ideal solution (TOPSIS) but also combines the qualitative analysis and quantitative analysis. Moreover, this method contains two stages, in the first stage, QFD is applied to determine the weights of customer requirements (CRs) and company strategies (CSs) by analyzing the relationship between CRs and CSs, the subjective importance weights of criteria can be derived, in addition, the house of quality (HOQ) is used to characterize the above process. To address the uncertainty in the selection process, intuitionistic fuzzy numbers (IFNs) are provided to describe the imprecise information, which take membership degree, non-membership degree and hesitation degree into consideration; in the second stage, a novel ranking method is proposed based on the improved TOPSIS, the objective importance weights of criteria are obtained, then the integrated importance criteria weights are calculated and a new ranking index is provided to rank the suppliers. What’s more, a case study illustrates the effectiveness and applicability of the proposed method. Finally, comparative analysis and sensitivity analysis are carried to demonstrate the robustness and effectiveness of the proposed method. The result shows that the proposed TOPSIS-based method can help companies monitor supplier performance and provide customers with quality products and services.

A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis

ObjectiveThis paper proposes a multi attribute decision support model in a supply chain in order to solve complex decision problems. The paper provides a platform to ease decision process through the integration of quality function deployment (QFD) and grey relational analysis (GRA) in demonstrating main supply chain drivers under fuzzy environment. MethodologyThe proposed method is important because of several points: First of all, in a supply chain system, evaluation factors are not really independent and must be addressed in relation to the external factors such as customer requirements. Hence, we have applied QFD tool. Second, due to the constant uncertainty in the supply chain environment, fuzziness among the factors has to be considered. So, an interval valued fuzzy model was implemented. Third, to examine the proposed decision system in reality, it was applied in Risk and Uncertain Conditions for Agriculture Production Systems (RUC-APS) project. ContributionAn integrated version of QFD and GRA is presented. It is assumed that QFD can act to measure optimal solutions based on the distance to ideal solutions. In an interval-valued fuzzy environment the enormous volume of computation by Euclidean distance doesn't allow decision makers to obtain the results easily. This drawback is addressed using gray relational analysis. The gray relational coefficient is integrated to the fuzzy QFD to measure the distance of potential solutions from ideal solutions. This integration facilitates decision making process in further problems once big data are available. ResultsTo obtain the importance degrees of logistic indicators in the supply chain, expert team considered the environmental, social & cultural, and economic factors as external dimension of the QFD. The other dimension of QFD includes supply chain drivers such as quality, environmental management system, supply chain flexibility, corporate social responsibility, transportation service condition, and financial stability. The decision model is solved and the ranking of indicators is achieved. A sensitivity analysis helps to test and check the performance of the decision model.

Hazard function deployment: a QFD-based tool for the assessment of working tasks – a practical study in the construction industry

Despite the efforts made, the number of accidents has not significantly decreased in the construction industry. The main reasons can be found in the peculiarities of working activities in this sector, where hazard analysis and safety management are more difficult than in other industries. To deal with these problems, a comprehensive approach for hazard analysis is needed, focusing on the activities in which a working task is articulated since they are characterized by different types of hazards and thus risk levels. The study proposes a methodology that integrates quality function deployment (QFD) and analytic network process methods to correlate working activities, hazardous events and possible consequences. This provides more effective decision-making, while reducing the ambiguity of the qualitative assessment criteria. The results achieved can augment knowledge on the usability of QFD in safety research, providing a basis for its application for further studies.

New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection

Green supplier evaluation and selection plays a crucial role in the green supply chain management of any organization to reduce the purchasing cost of materials and increase the flexibility and quality of products. An interval neutrosophic set (INS)—which is a generalization of fuzzy sets, intuitionistic fuzzy sets (IFS) and neutrosophic sets (NS)—can better handle the incomplete, indeterminate and inconsistent information than the other sets. This paper proposes a new integrated Quality Function Deployment (QFD) in support of the green supplier evaluation and selection process. In the proposed approach, INS is used to assess the relative importance of the characteristics that the purchased product should have (internal variables “WHATs”) in order to satisfy the company’s needs, the relevant supplier assessment criteria (external variables “HOWs”), the “HOWs”-“WHATs” correlation scores, the resulting weights of the “HOWs” and the impact of each potential supplier. The normalized weighted rating is then defined and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is developed to obtain a final ranking of green suppliers. A case study is applied to demonstrate the efficiency and computational procedure of the proposed method.

Integrating quality function deployment and failure mode and effect analysis in subcontractor selection

Evaluating subcontractor competence in ISO/IEC 17025 standard is usually based on the readiness of equipment and manpower (RoEM) of laboratory involved in production activities. However, the risk of failure factors including the process of receiving samples, testing process and reporting test results to the customer have to be included. In this study, we present an integrating quality function deployment and failure mode and effect analysis in subcontractor selection for ISO/IEC 17025 standard. The ranking of all subcontractors is based on the different weights of the RoEM and the risk priority number. A case study with three scenarios is used to illustrate the applicability of the proposed method.

INTEGRATED TRIZ WITH QFD APPLIED TO AUTOMOTIVE VALVE INDUSTRY

Understanding and assisting the clients in a more efficient way are paramount to maintain and to improve the relationship between the company and their customers. Quality Function Deployment has been used to understand the requirements of the customers. However, some requirements face technical obstacles in relation to the service provided. Theory of Inventive Problem Solving was developed to find innovative solutions to technical problems in products and process. This report describes a method that integrates Quality Function Deployment with Theory of Inventive Problem Solving, which requires technical innovation specified from an analysis of customers´ needs. Then, the technical problems to be solved are defined by quality characteristics, and technical innovation is executed by applying Theory of Inventive Problem Solving. Results showed efficiency on identifying customer’s requirements, reoccurring problems and finding better and innovative solutions.

Work facility design for VCO operator using integrated quality function deployment and Analytic Hierarchy Process

The Musculoskeletal disorder (MSDs) is skeletal muscle disorders that lead to damage in nerves, muscles, joints and cartilages. The damage is caused by muscle tension and degeneration. From the preliminary research in virgin coconut oil (VCO) processing industry, Central Java, Indonesia, there are potential risk of MSDs for workers. The majority of operators complaining on the right thigh (score 37) and left thigh (score 35). In addition, 50% of operators is work with moderate risk (rapid entire body assessment scores 4-7) and 50% others at a high risk level (rapid entire body assessment scores 8-10). Therefore, improvement is needed to prevent MSDs through work facility design using an integrated quality function deployment (QFD) method. In QFD, there is a concept screening phase to select some product design concept. To determine the priority, the QFD method can be integrated with analytic hierarchy process (AHP) method. The research shows that attributes of work facility needed by user are ergonomic, portable, durable and aesthetic. Concept design B have the highest priority score 0,32 and selected as the final work facility design. The technical specification are made from mahogany wood with an attractive design, red colour combination and developed based on user's anthropometry data.