Search for: quality-function-deployment
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    An application of quality function deployment method in engineering materials selection

    , Article Materials and Design ; Vol. 55, issue , 2014 , p. 912-920 Kasaei, A ; Abedian, A ; Milani, A. S ; Sharif University of Technology
    In transition from concept design to detail design, designers and engineers need to find specific materials to optimize performance of the systems. The large number of materials and the wide range of manufacturing processes cause engineers always to seek new materials selection methods. In this research work a new method so called QFD method, which employs materials indices, is introduced. The method enjoys a combination of Ashby's materials selection concepts with the Quality Function Deployment (QFD) tool. The QFD method, which is modified here to fit the materials selection field, provides the designer with the required weighting factors for the material indices. Incorporation of House of... 

    Plant Function Deployment Via Reliability- Centered Maintenance

    , M.Sc. Thesis Sharif University of Technology Kianfar, Azadeh (Author) ; Kianfar, Fereydoon (Supervisor)
    Reliability Centered maintenance (RCM) is a systematic approach for designing preventive maintenance program for plants. Quality Function Deployment (QFD), which is a well known tool of Total Quality Management, is also a systematic and disciplined approach for designing products and services. In QFD the objective is to satisfy the requirements of the customers of the product or service with limited resources. Now if we consider the preventive maintenance program that RCM specifies for a plant as a service and define the customer requirements for this service to be preserving the functions of the plant we can use QFD for maintenance via RCM. By doing this all the proven advantages of QFD... 

    Hybrid Approach based on QFD for Improving the Selection of Product Suppliers

    , M.Sc. Thesis Sharif University of Technology Mohammadian, Aidin (Author) ; Mostafavi, Mostafa (Supervisor)
    Multi-Criteria Decision-Making models have been considered by many researchers in recent years. In this study, considering the transition matrix, the probability of changing in the priories of the customers in the framework of a hybrid QFD-ANP has been proposed. The developed methodology is implemented to solve the supplier selection problem, one of the most important problems in the supply chain management, in a dairy manufacturer in Iran. The company is one of the most prominent companies that has a big segment of the dairy market. The results show the efficiency of the proposed methodology for multi-criteria decision-making problems.• Chapter 1) General research reasons for the purpose... 

    Increasing The Market Share of Kelarpooya Company Using Quality Function Deployment (QFD)Method

    , M.Sc. Thesis Sharif University of Technology Sadoughi Noorabadi, Fariba (Author) ; Kianfar, Farhad (Supervisor)
    In this research Quality Function Deployment (QFD) is used to define a set of improvement project for Kelarpooya company to increase it's market share. For this purpose the following activities were performed: Defining the scope of the research and it's approval by the management. Selecting the QFD team. Finding customer requirements and expectations about company's products and services. Identifying technical descriptors affecting customer requirements and deploying the interrelationship between them. Developing the relationship between customer requirements and technical descriptors. Developing prioritized technical descriptors. And finally defining improvement project for technical... 

    Analysis and Study the Effect of Knowledge Management Implementation on Productivity Case Study: Tehran Regional Electric Company

    , M.Sc. Thesis Sharif University of Technology Payam Asgari, Mahboubeh (Author) ; Mostafavi, Mostafa (Supervisor)
    The successful development and implementation of a knowledge management system requires principles and instructions compatible with the organization. In the absence of essential and domestic components of a given organization, the process of knowledge management implementation will fail to be successfully completed. There are now various models for the implementation of knowledge management; however, these models only recommend general strategic guidelines, hardly offering any specific strategic plans as to how organizations can successfully and effectively implement knowledge management. Since the promotion of productivity is the ultimate goal of knowledge management, the present research... 

    Use of technology mapping in identification of fuel cell sub-technologies

    , Article International Journal of Hydrogen Energy ; Volume 35, Issue 17 , 2010 , Pages 9516-9525 ; 03603199 (ISSN) Arasti, M. R ; Bagheri Moghaddam, N ; Sharif University of Technology
    Technology Identification involves developing a list of technologies which are, or may be, incorporated into products or processes. After reviewing Technology Assessment, Technology Strategy, Management of Technology and New Product Development in literature, four methods of Technology Identification are investigated: Value Chain of Technologies, Process-based Approach, Quality Function Deployment and Technology Mapping. A model facilitating decision making process is then proposed by which the most appropriate method to be employed is identified. The proposed model is examined in specific case of fuel cell technologies while preparing the Fuel cell Development Strategic Plan of Iran. 1... 

    A transformation-based multivariate chart to monitor process dispersion

    , Article International Journal of Advanced Manufacturing Technology ; Volume 44, Issue 7-8 , 2009 , Pages 748-756 ; 02683768 (ISSN) Abbasi, B ; Akhavan Niaki, T ; Abdollahian, M ; Hosseinifard, Z ; Sharif University of Technology
    Multivariate monitoring techniques such as multivariate control charts are used to control the processes that contain more than one correlated characteristic. Although the majority of previous researches are focused on controlling only the mean vector of multivariate processes, little work has been performed to monitor the covariance matrix. In this research, a new method is presented to detect possible shifts in the covariance matrix of multivariate processes. The basis of the proposed method is to eliminate the correlation structure between the quality characteristics by transformation technique and then use an S chart for each variable. The performance of the proposed method is then... 

    Decision-making in detecting and diagnosing faults of multivariate statistical quality control systems

    , Article International Journal of Advanced Manufacturing Technology ; Volume 42, Issue 7-8 , 2009 , Pages 713-724 ; 02683768 (ISSN) Akhavan Niaki, T ; Fallah Nezhad, M. S ; Sharif University of Technology
    A new methodology is proposed in this paper to both monitor an overall mean shift and classify the states of a multivariate quality control system. Based on the Bayesian rule (Montgomery, Introduction to statistical quality control, 5th edn. Wiley, New York, USA, 2005), the belief that each quality characteristic is in an out-of-control state is first updated in an iterative approach and the proof of its convergence is given. Next, the decision-making process of the detection and classification the process mean shift is modeled. Numerical examples by simulation are provided in order to understand the proposed methodology and to evaluate its performance. Moreover, the in-control and... 

    Development of New Material Selection Method by Using QFD Matrix

    , M.Sc. Thesis Sharif University of Technology Kasaei, Afshar (Author) ; Abedian, Ali (Supervisor)
    Today, the material selection process plays an important role in all engineering design branches. Generally, in transition from concept design to detail design, designers and engineers need to find specific materials to optimize performance of the systems. There are introduced nearly 80000 engineering materials up to now, i.e. metallic alloys, composite materials, plastics, ceramics, glass and etc. These large amounts of materials and the wide range of manufacturing processes causes engineers always seek new material selection methods. In material selection it’s require to consider advantages, restrictions, necessities of method and this phenomenon appear because of design problem that... 

    Presenting a Model For Increasing Productivity And Simultaneously Decreasing Eletrical Losses In Electric Power Distribution

    , M.Sc. Thesis Sharif University of Technology Bashiri, Hassan (Author) ; Eshraghniaye Jahromi, Abdolhamid (Supervisor)
    In electrification networks, a considerable percentage of electrical energy generated in power plant is dissipated through the path from generation to consumption, most of which is in electric power distribution, approximately 18%. The amount of these losses depends on several factors such as distribution networks structure, kind of apparatus, load density, kind of consumption, consumption curve, climatic conditions, due to diversity and variety of these factors, power losses differ even for two apparently similar electric power distribution . Power distribution companies in Iran decrease power losses since a few years ago, but in practice, because of different parameters and indexes, which... 

    An integrated approach for enhancing the quality of the product by combining robust design and customer requirements

    , Article Quality and Reliability Engineering International ; Vol. 30, Issue. 8 , 2014 , pp. 1285-1292 ; ISSN: 07488017 Shahriari, H ; Haji, M. J ; Eslamipoor, R ; Sharif University of Technology
    Enhancing the quality of the product has always been one considerable concern of production process management, and this subject gave way to implementing so many methods including robust design. In this paper, robust design utilizes response surface methodology (RSM) considering the mean and variance of the response variable regarding system design, parameter design, and tolerance design. In this paper, customer requirements and robust design are regarded simultaneously to achieve enriched quality. Subsequently, with a non-linear programming, a novel method for integrating RSM and quality function deployment has been proposed to achieve robustness in design. The customer requirements are... 

    Methodology and theory: plant function deployment via RCM and QFD

    , Article Journal of Quality in Maintenance Engineering ; Volume 16, Issue 4 , 2010 , Pages 354-366 ; 13552511 (ISSN) Kianfar, A ; Kianfar, F ; Sharif University of Technology
    Purpose - This paper aims to address the capability of reliability-centered maintenance (RCM), which is a preventive maintenance design tool. Design/methodology/approach - A model named Plant Function Deployment (PFD) is developed, in which the methodology of quality function deployment (QFD) is added to RCM to improve RCM capability in preserving the functions of the plants. Findings - The objective of preserving the plant functions with least resources, in RCM, is attained more efficiently if the methodology of QFD is added to RCM. Practical implications - PFD is a model for designing a preventive maintenance program which uses RCM and QFD methodologies. PFD organizes all the important... 

    A new statistical process control method to monitor and diagnose bivariate normal mean vectors and covariance matrices simultaneously

    , Article International Journal of Advanced Manufacturing Technology ; Volume 43, Issue 9-10 , 2009 , Pages 964-981 ; 02683768 (ISSN) Akhavan Niaki, T ; Ostadsharif Memar, A ; Sharif University of Technology
    In this paper, in order to find an adequate method of monitoring the mean vector and covariance matrix of a production process simultaneously, first, some available univariate control methods were reviewed and evaluated. Then, the maximum exponentially weighted moving average method with a better potential application and good performances in terms of average time to signal (ATS) criterion was selected to be extended to the bivariate case. In the extended procedure, by proper transformation of the control parameters, the primary control space is transformed such that all control elements have the same probability distributions. In this case, only the maximum absolute value of the transformed... 

    A generalized linear Statistical model approach to monitor profiles

    , Article International Journal of Engineering, Transactions A: Basics ; Volume 20, Issue 3 , 2007 , Pages 233-242 ; 17281431 (ISSN) Akhavan Niaki, S. T ; Abbasi, B ; Arkat, J ; Sharif University of Technology
    Materials and Energy Research Center  2007
    Statistical process control methods for monitoring processes with univariate or multivariate measurements are used widely when the quality variables fit to known probability distributions. Some processes, however, are better characterized by a profile or a function of quality variables. For each profile, it is assumed that a collection of data on the response variable along with the values of the corresponding quality variables is measured. While the linear function is the simplest, it occurs frequently that many of the nonlinear functions may be transferred to linear functions easily. This paper proposes a control chart based on the generalized linear test (GLT) to monitor coefficients of... 

    Designing a multivariate-multistage quality control system using artificial neural networks

    , Article International Journal of Production Research ; Volume 47, Issue 1 , 2009 , Pages 251-271 ; 00207543 (ISSN) Akhavan Niaki, T ; Davoodi, M ; Sharif University of Technology
    In most real-world manufacturing systems, the production of goods comprises several autocorrelated stages and the quality characteristics of the goods at each stage are correlated random variables. This paper addresses the problem of monitoring a multivariate-multistage manufacturing process and diagnoses the possible causes of out-of-control signals. To achieve this purpose using multivariate time series models, first a model for the autocorrelated data coming from multivariate-multistage processes is developed. Then, a single neural network is designed, trained and employed to control and classify mean shifts in quality characteristics of all stages. In-control and out-of-control average...