جستجوی مقالات مرتبط با کلیدواژه « quality function deployment » در نشریات گروه « مدیریت »

The evaluation and selection of suppliers is a crucial issue in supply chain management. This problem has grown increasingly uncertain due to the influence of imprecise parameters, and various tools have been proposed for weighting criteria and evaluating supplier scores for each criterion. Neutrosophic numbers, a modern tool for handling uncertainty, ambiguity, and inconsistency, are introduced to tackle such challenges. As the most comprehensive form of non-classical logic after fuzzy and intuitionistic fuzzy logic, Neutrosophic logic assigns degrees of membership, non-membership, and hesitation independently between zero and one. In this research, the quality function deployment (QFD) technique is developed in a Neutrosophic environment to identify and weigh supplier evaluation criteria. Additionally, the Neutrosophic EDAS approach is proposed for selecting top suppliers. A numerical study of the pharmaceutical industry demonstrates that geographical location and supplier experience are the two most critical criteria, and the second supplier is chosen as the best.

The main challenge of companies is to fulfill services and meet customer expectations. Quality Function Deployment (QFD) helps to extract service features from customer requirements.

Due to the use of the Internet of Things in telemedicine, this research has two objectives, the first purpose is to identify the parameters affecting the integration of IoT and telemedicine systems with the view of improving quality performance and the second purpose is to investigate the possibility of using artificial neural networks to predict the behavior of the QFD matrix.

For the first purpose, value-oriented engineering analysis method and customer-oriented Function Analysis System Technique (FAST) diagram were used, and after obtaining the parameters, including customer call, service characteristics and operation requirements, for the second purpose, Fuzzy Back-Propagation Network was used.

After obtaining identify the parameters affecting the integration of IoT and telemedicine systems with the view of improving quality performance, a total of 50 QFD matrices were collected and their data were introduced in a Fuzzy Back-Propagation Network. 80% of this amount has been used for network training, 15% for testing and 5% for validation of predicted results. The mean square error (MSE) for the validation section is MSE = 0.015584.

the results showed that the Fuzzy Back-Propagation Network method is suitable for predicting the expansion of QFD in the integration of IoT and telemedicine systems.

Today, agility is recognized as a characteristic of competition, so its use in the supply chain of many companies has expanded, but these companies need a way to adapt to the dynamic needs in the least Time consolidates a large amount of information and delivers it to different parts of the supply chain. E-marketing can be effective in solving this problem.The purpose of this research is to"develop a comprehensive model for evaluating the factors of electronic marketing that affect the agile supply chain". This research is applicational and descriptive-surveying with the modeling approach. The statistical population of this research consists of experts with common expertise in the field of IT and marketing in Hamrah Aval operator. The number of these people is 133, which was randomly selected.The questionnaire is used to collect the information, and the structural equation modeling approach, the one-sample t test, (AHP) approach and Quality Function Deployment approach,were used to analyse the data. The research results show e-marketing has an effect on supply chain agility and 7 factors, as the most effective e-marketing agents to respond to agility enablers and 7 tools the most effective e-marketing tools for budget allocation were identified and prioritized in order of weight. According to studies conducted in this field, no study has been conducted in relation to the present study. As a result, the proposed structure is presented as the first model that has the ability to be formulated and implemented according to the current variable situation.

Humanitarian operations begin quickly with disasters to save lives, reduce the suffering of the injured and meet their needs. Appropriate strategies and solutions should be used to help the injured. In this regard, this paper aims to provide a hybrid approach to select effective strategies in the humanitarian supply chain.

In this study, firstly the needs of the injured were identified and categorized, and then the weight of each one was obtained using Fuzzy SWARA technique. Then, a combination of QFD approach and multi-objective modeling was used to select strategies to meet the needs of the injured. The epsilon-constraint method and GAMS software were used to solve the multi-objective model.

The needs of earthquake victims in the country were identified and classified into five categories: food needs, hygienic, mental health, housing and living facilities. The results showed that the need for nutrition and food, evacuation of the affected groups from the accident site and access to drinking water are the most important needs of the victims during the earthquake. To help victims, 14 strategies were divided into three categories: strategies related to construction, infrastructure improvement, and strengthening relief processes.

In order to reduce the damage during an earthquake, light materials should be used in construction, the culture of lightening should be strengthened, and at the same time, the awareness of people in using durable materials should be promoted. Also, worn-out water, electricity and gas systems should be developed and integration should be between them. In addition, the improved communication system, and inventory management and evacuation location should be strengthened during relief efforts.

There are many ways to improve the quality of designing and manufacturing products that are more in line with the needs of customers. Studies have shown that, in spite of customer needs, customer sense also plays a major role in designing products. One of the effective ways to identify and use in product design is kansei engineering. In this research, we have tried to use quality function deployment (QFD) and kansei engineering to determine the emotions affecting the design of the product and by combining these two, products can be tailored to meet the needs of customers. The statistical population for the determination of technical properties was the stores that were classified according to the sampling method in each case; a simple sampling method was chosen among buyers. Then, during the interview, 10 prominent vendors with a history of selling health products were used. The technical properties of the product are determined in the form of 21 items and a questionnaire distributed among 50 people in which users were asked to determine what characteristics of the product are more important to them. In this research, firstly, with the help of the previous study, the kansei words were collected in relation to the product, and 13 of them were chosen. These factors were classified into three categories of sensory and appearance features, inherent features and controllable factors. According to the results of a new design for a dishwashing liquid container Presented.

Today, the most important aspect of product design is based on the needs and requirements of customers, therefore, the Quality Function Deployment (QFD) approach is one of the ways that is used to increase customer satisfaction. Due to the uncertainty and inaccuracy of the properties in the relationships, the fuzzy coefficients are often used in planning QFD. In the present study, the fuzzy linear regression approach is used to identify inaccurate and ambiguous functional relationships between customer requirements and engineering indicators. In this approach, for non-fuzzy data situation, the optimal values of the parameters would be determined based on the output set of the regression model so that it has a membership degree greater than or equal to h, which indicates how much fuzzy the output of the fuzzy regression model is being. In this study, the aim of using a fuzzy linear regression model is to identify the functional relationships in QFD to optimize h value in the industrial lama electronics industry. The results of this study indicate that the values of the range of coefficients in optimal h model, when compared to zero, give better data and increase the reliability of the system.

Aim and The characteristics of a successful, creative and efficient organization is that the organization informed by the demands of its customers and by taking them improve the quality of the goods or services, in order to satisfy the clients. The main porpuse of thie paper is Services designe by identify and prioritize the demands of South East Railway customers in Kano model.
The statistical population of this study includes travelers using Southeastern railway services and sample size was taken as sample saturation with 40 simple random samples from campus trains. Semi-structured interviews, interviews with experts and a researcher-made questionnaire were used to collect data. In the analysis of the data, the Kano model, the quality extension method used in Spss16 and Excel software was used.
Findings: After identifying the characteristics of service with the help of experts, Quality Function Development (QFD) was used to prioritize them and finally, required services has been ranked and proper selection of personnel, upgrade facilities of rail and the exact timing of train schedules are 3 first priority, if first six priorities are done, almost half of the costumers will be satisfied.
Rail Transportation is the best option of transport in many countries of the world. One of the factors that increase the share of rail passenger transportation is developing rail transportation of passenger by increasing level of customer satisfaction in this type of service.

Nowadays, Internet as a quick and inexpensive mean of communication has changed different aspects of human life.In this regard, the Statistics shows that the number of Internet users has been increased greatly in different countries in recent years.Meanwhile, the companies that provide Internet services to their customers are looking for their basic needs. One of the main ways to hear the voice of customers is the quality function deployment approach. This study has been conducted in one of the companies providing Internet services in Iran. In the process of study, first, the needs of customers were identified. Then analytic hierarchy process method and quality function deployment approach were used to implement the needs in Internet services. The results of study indicated that “appropriate price for the provided services was the most important needs of customers and among engineering characteristics, “utilizing expert, motivated, and skilled employees was in the highest priorities. So, more focus on these important factors play crucial role in achieving success.

Strategy Map is a comprehensive tool for having the right attitude and determination of the exact path of progress in the evolution of Excellence. If the organization can design strategy map well and implemented, will substantially improve implementation strategies. The study design for a Knowledge-based Company strategy map. Therefore, initially to assess the strengths, weaknesses, opportunities, threats and strategic themes and the themes covered by the Strategic SWOT points and then determines the company's strategic goals are discussed. In the end, the strategic objectives are prioritized using Fuzzy COPRAS and DEMATEL. In this article, we try to present the strategic map in order to implement the proposed strategies and use it with the help of "Quality Function Deployment".

Critical technologies is a useful approach to assessing and ranking technologies or research directions which has been used widely in many countries. Since the assessment and scoring of technologies in this method is carried out based on expert judgments, the accuracy of the results will be heavily influenced by the expert's opinions. Applying fuzzy quality function deployment and using linguistic terms instead of crisp numbers in the evaluation process can improve the results of the conventional methodology of critical technologies. Moreover, using data envelopment analysis enable us to take into account all the criteria and assessment scores. We can also calculate one efficiency score for each technology and finally technologies are ranked with considerable ease. As a case study, the proposed method has been applied for identifying and prioritizing development technologies in IMIDRO. The results have been verified with expert knowledge and showed an improvement compared to the conventional method.

Strategy Map is a comprehensive tool for an organization to see things right and determine the exact path of progress toward the excellence. Having formulated a well-designed strategy map the implementation phase of strategy will be done in a satisfactory manner. The purpose of this paper is to design a strategy map for a company active in an power plant industry. At the first phase we examined the strengths, weaknesses, opportunities, threats and strategic themes in order to determines the company's strategic goals. Then, the strategic objectives were prioritized using SIR and DEMATEL. We expect that the designed strategic map could assist the company to implement its proposed strategies with the help of Quality Function Deployment.

Supplier selection which is one of the most important activities in the supply chain, ultimately leads to customer satisfaction of organizational performance. Considering the inherent uncertainties in business environment, current study proposes an approach for selecting suppliers in order to meet customer requirements, which is a combination of quality function deployment and TOPSIS based on grey theory. The case of the study is a frequently-used part of Roshanaie Arm Industrial Co., which named astronomical time switch. Interviewing representatives of customers resulted in identification of 30 general and specific requirements of customers. Using focus group and eliminating unrelated requirements, 14 of them remained for using in quality function deployment method. After translation the customer requirements to technical specifications by engineers, 43 specifications were located in the house of quality matrix and with using and analyzing grey numbers, the weights of each were determined. TOPSIS method was utilized with grey data in order to rank the 13 domestic and international suppliers in order to determine the preferred supplier. It should be minded that purchasing parts through selected supplier enhances the conformity of technical requirements and customer needs and yields highest possible quality.

Satisfaction and motivation ofemployee to optimal utilization of organizational resources and assets are among irrefutable facts inany organization. This study was performed aiming to identify and prioritize the factors affecting motivation and satisfaction of the staff in NAJA headquarter. After defining the research objectives and questions, 359 questionnaires consisting of 35 questions set based on the theories of motivation and satisfaction of employees were distributed among the organizational staff as a class and 304 questionnaires were collected. The validity of the questionnaire was confirmed through content,form and structural validity, as well as its reliability was calculated and confirmedusing Cronbach's alpha. Cronbach’s alpha values was obtained 0.95 for the questionnaire.After collecting inventory data, theresearch questions were answeredusingstatistical tests with the help of SPSS and HOQ matrix.The results determined the factors affecting staff motivation and satisfaction and performance indicators to the factors within the organization and showed their prioritization using the HOQ model and based on organization performance. Three factors of communication and participation in decision-making, challenging, rich and purposefultask, total receipts and fairness in it are the most important factors influencing employee motivation and satisfaction, respectively and the organizational factors, nature of work and environmental factors were determined as the most important areas forimplementation of motivation and satisfaction in the organization.

Customer satisfaction level depends on level that his expectations would be answered. With identifying customer expectations and implementation them in QFD, this ensures that important and critical demands of customer have been considered. QFD have been used and use for translating customer expectations to different subjects. What has been considered in this study, is QFD usage for translating expectation customers to importance mark of quality management projects. Those project that guarantee organization success for meeting customer needs. For this purpose, three matrix approach of QFD was used in “Mashhad urban and suburban railway company” that had concern about ranking of quality management projects. In first matrix, importance marks of technical specifications were identified. In second matrix, importance marks of key operations were identified and in third matrix, execution importance and priority of projects were identified. Study results depicts that “need and task assessment of jobs” has most role in satisfying of customer needs and is first priority for this company.

The main goal of this research is discovering and identifying the main strategies of knowledge management and also relating indexes of each strategy in Islamic republic of Iran Broadcasting (IRIB). The society of this research contains managers, assistants and experts of Broadcasting. In this research, the main strategies of Broadcasting organization are extract and combine with knowledge strategies of the organization (the strategy of coding and personalizing of knowledge) based on the experts’ views to. We create the first house of quality. Using the first house’s results, the second quality house investigates the relation between knowledge strategies and technical solutions for obtaining these strategies and classifing these solutions. The findings of the research show that the development and improvement strategy of technical equipments is the main strategy of the organization. In the classifing the knowledge strategies of organization, we observed that coding strategy obtained the first place and personalizing strategy obtained the second place. This solution that the high ranking administrative managers should support the knowledge activities obtained the first place among the knowledge solutions.

The purpose of this study is to prioritize leagility enablers in food and beverage industries in Qazvin Province with the hybrid method of FLinPreRa-FQFD. In doing so, it directly assessed the impact of leagility enablers on its attributes with fewer pairwise comparisons and yields consistent priority ranking which lead to improvement in decision-making. In this study, after reviewing literature and theoretical background of the leagility, its attributes and enablers are identified and a framework for prioritizing these indicators as well as major competitive advantage is designed. The study was based on 38 companies from the food and beverage industries, in Qazvin province. The findings indicate that competitive advantage "costs" is the most important competitive advantage in this industry. "Customer and market sensitiveness", is the most important attribute based on expert viewpoints. Also among the enablers, "rapid introduction of new products and production cycle time reduction" in achieved the highest weights and priorities.

In today’s competitive market, an agency is successful which by considering the needs of the clients and the capabilities of its staff, presents products and services which both decreases the costs and expenses and is of high value in the eyes of its clients. For reaching these goals, the simultaneous use of product cost management and quality management systems, which are regarded as target costing, as strategic tools for cost management used for planning profit and decreasing costs, is needed. The aim of this study is presenting a framework for determining the target cost, evaluating and sequencing product’s function, with respect to the product’s quality in the client’s point of view. With the use of quality function deployment approach in target costing and integrating it with Fazzy Kano model, expenses can be reduced and client satisfaction can be provided in its highest level. The present research was a case study of one of the products of Pars Khazar company. Finally, the functions of the product for the purpose of improving and reducing expenses were sequenced and presented.

Researches have always been seeking those factors that deserve to be studied to reduce the risk involved in the process of enterprise resource planning implementation and increase the opportunity of achieving the implementation objective. In addition, by knowing the priority of the factors, they could carry out the resources allocation in a goal-directed way. By seeking the opinions of the senior managers and advisors Bahman Diesel Industrial Group, 34 critical success factors whichhad been already noted in the precedent studies were identified. However, due to the difference in the type of organizations and lack of priority, there was no justification in using the already identified raw critical success factors. Therefore; by considering the prioritization of the managers in different sectors, as the main customers of the products yield through enterprise resource planning, the critical success factors were classified, prioritizes and named by benefiting from experts view with regards to the priorities set by the managers and employing the factorial analysis scientific method, those factors were divided into seven new clusters that could be named as the new seven localized critical success factors; followed by using them in the quality table boxes to serve as voice of customer. 18 tangible technical factors were then determined in in relation with those item and prioritization was performed accordingly by using QFD approach.

Nowadays Balanced scorecard has a critical role in implementing strategies for many organizations. Strategy map as the 3rd generation of BSC by inverting mission and vision into strategic objectives is the linkage between formulating and implementing strategies. However, the methodology of developing strategy maps has many ambiguities. This study with inspiring by other authors and exploring literatures representing an improved methodology to resolve three identified short comings or improvement potential. Using QFD and fuzzy screening, fuzzy cognitive maps and considering fuzzy environment a step-by-step methodology represented to considering strategic objective refinement, causal effects modelling and human subjectivities. Finally the methodology has applied in a practical case.

Today, the management of knowledge and related strategic concepts have been developed as the important parts for surviving of the organizations. Since no organization has unlimited sources and the dominated atmosphere is comparative, so compiling the correct and comparative strategies which meet the great goals of organizations is very important. The main goal of this research is discovering and identifying the main strategies of knowledge management and also related indexes of each strategies in Islamic republic of Iran Broadcasting (IRIB). The statistical society of this research contains managers, assistants and experts of Broadcasting. In this research, using the experts’ ideas to extract the main strategies of Broadcasting organization and to combine these strategies with knowledge strategies of the organization(the strategy of coding and personalizing of knowledge), we create the first house of quality. Using the first house’s results, the second quality house investigates the relation between knowledge strategies and technical solutions for obtaining these strategies and also classifies these solutions. The findings of the research show that the development and improvement strategy of technical equipments is the main strategy of the organization. In the results of classification of knowledge strategies of organization, we observed that coding strategy obtained the first place and the personalizing strategy obtained the second place. This solution that the high ranking administrative managers should support the knowledge activities obtained the first place among the knowledge solutions.