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Kuei-hu Chang - One of the best experts on this subject based on the ideXlab platform.
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a more general Reliability Allocation method using the hesitant fuzzy linguistic term set and minimal variance owga weights
Applied Soft Computing, 2017Co-Authors: Kuei-hu ChangAbstract:Flowchart of the proposed method.Display Omitted This paper proposed a more general Reliability Allocation method.This proposed method can deal with information that is fuzzy or hesitant.The proposed method can provide more effectively flexible Allocation of system Reliability. Reliability Allocation is one of the most critical tasks in system Reliability design, the result of which directly influences a products quality and the robustness of the system. Traditionally, Reliability Allocation has used the feasibility-of-objectives (FOO) method to perform system Reliability Allocation at the beginning of the product design stage. However, the FOO method has several shortcomings; for example, it requires that the value of the Reliability Allocation factors be single linguistic variables, and it does not consider the ordered weight of the Reliability Allocation factors. To solve this issue, this paper integrates the hesitant fuzzy linguistic term sets and minimal variance OWGA weights to effect flexible Allocation of system Reliability. To verify the efficacy of the proposed approach, an example of Reliability Allocation in a transceiver system is provided to illustrate its application, and the results of this method are compared with those of the FOO and fuzzy Allocation methods. We conclude that the proposed approach is more accurate and performs flexible Allocation of system Reliability.
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A novel Reliability Allocation approach using the OWA tree and soft set
Annals of Operations Research, 2016Co-Authors: Kuei-hu ChangAbstract:Reliability Allocation is a crucial task in product design and development, directly influencing the quality and market competitiveness of a product. Traditional techniques for Allocation of product Reliability include the equalized Allocation, ARINC, and AGREE Allocation methods. Although these methods are simple and widely used in industry, they do not perform simultaneous Allocation of the Reliability of root and leaf nodes. Moreover, situations arise in the initial stages of product design in which there is incomplete information, increasing the difficulty of Reliability Allocation, can not be solved effectively using traditional Reliability Allocation methods. To resolve these issues, this paper integrates the ordered weighted averaging tree and soft set approach with regard to flexible Allocation product Reliability. To verify the proposed approach, a numerical example of a thin-film transistor liquid crystal display product is adopted. This paper also compares the results of the simulation with those of the equalized Allocation, ARINC Allocation, and AGREE Allocation methods in dealing with incomplete information. The results demonstrate that the proposed method is more flexible and does not lose any valuable information that is provided by experts.
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A novel Reliability Allocation approach using the OWA tree and soft set
Annals of Operations Research, 2016Co-Authors: Kuei-hu ChangAbstract:Reliability Allocation is a crucial task in product design and development, directly influencing the quality and market competitiveness of a product. Traditional techniques for Allocation of product Reliability include the equalized Allocation, ARINC, and AGREE Allocation methods. Although these methods are simple and widely used in industry, they do not perform simultaneous Allocation of the Reliability of root and leaf nodes. Moreover, situations arise in the initial stages of product design in which there is incomplete information, increasing the difficulty of Reliability Allocation, can not be solved effectively using traditional Reliability Allocation methods. To resolve these issues, this paper integrates the ordered weighted averaging tree and soft set approach with regard to flexible Allocation product Reliability. To verify the proposed approach, a numerical example of a thin-film transistor liquid crystal display product is adopted. This paper also compares the results of the simulation with those of the equalized Allocation, ARINC Allocation, and AGREE Allocation methods in dealing with incomplete information. The results demonstrate that the proposed method is more flexible and does not lose any valuable information that is provided by experts.
Yiqiang Wang - One of the best experts on this subject based on the ideXlab platform.
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Software Reliability Allocation model of CNC system based on software architecture
2014Co-Authors: Yiqiang Wang, Xiuhua Yuan, Xiaoqin Zhou, Bangcheng ZhangAbstract:In order to guarantee the implementation of Reliability target, software Reliability Allocation model of CNC system was established based on software architecture. Software architecture of CNC system was set up, which decomposed CNC system into the functional units, Reliability indexes of the system can be distributed into each component from top to bottom. The relative weight of software element in each level of the architecture was determined with analytic hierarchy process (AHP) method. The software Reliability Allocation model was built by taking the maximum practicability of CNC system as the target function, the Reliability and cost function of component as the constraints. The Reliability of each component was calculated through culture algorithm (CA). According to the result, the Reliability Allocation worked out is reasonable and feasible, and during the development of Allocation model, the practicability of CNC system was guaranteed and development cost was also saved effectively.
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a comprehensive Reliability Allocation method for design of cnc lathes
Reliability Engineering & System Safety, 2001Co-Authors: Yiqiang WangAbstract:Abstract In the design and development of computerized numerical control lathes, an effective Reliability Allocation method is needed to allocate system level Reliability requirements into subsystem and component levels. During the Allocation process, many factors have to be considered. Some of these factors can be measured quantitatively while others have to be assessed qualitatively. In this paper, we consider seven criteria for conducting Reliability Allocation. A comprehensive failure rate Allocation method is proposed for conducting the task of Reliability Allocation. Example data from field studies are used to illustrate the proposed method.
Heeralal Gargama - One of the best experts on this subject based on the ideXlab platform.
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fuzzy arithmetic based Reliability Allocation approach during early design and development
Expert Systems With Applications, 2014Co-Authors: V Sriramdas, Sanjay Chaturvedi, Heeralal GargamaAbstract:A fuzzy arithmetic based Reliability Allocation method at early system design stage.Linguistic variables are used to assess the ratings of Allocation factors in an intuitive and easy manner.Use of trapezoidal fuzzy division linear programming method to reduce the fuzziness.More flexible to combine diversified opinions of multiple domain experts. During early design and development stages, every engineering system has to meet its specific Reliability goals. The target Reliability of the system is achieved through application of an effective Reliability apportionment technique to its subsystems. There are various traditional methods exist to perform the Reliability Allocation based on engineering factors that are assessed in a subjective manner. The conventional Reliability Allocation approach requires the assessment of factors like complexity, cost, and maintenance. This may not be realistic in real applications if they are assessed in a crisp manner by the domain experts of their varied expertise and background.In this paper, we treat Allocation factors as fuzzy numbers, which are evaluated in fuzzy linguistic terms. As a result, fuzzy proportionality factor scales are proposed for the subsystems. In order to accomplish fuzzy division to evaluate the fuzzy proportionality factor, an approximation method based on linear programming for trapezoidal fuzzy numbers is also proposed in this paper. For the evaluation of weighting factors from fuzzy proportionality factors, centroid method of defuzzification is being employed. The allocated Reliability of each subsystem is computed with the help of weighting factor thereafter. An example is provided to illustrate the potential application of the proposed fuzzy based Reliability Allocation approach.
Arunava Roy - One of the best experts on this subject based on the ideXlab platform.
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a structure based software Reliability Allocation using fuzzy analytic hierarchy process
International Journal of Systems Science, 2015Co-Authors: S Chatterjee, J B Singh, Arunava RoyAbstract:During the design phase of a software, it is often required to evaluate the Reliability of the software system. At this stage of development, one crucial question arises ‘how to achieve a target Reliability of the software?’ Reliability Allocation methods can be used to set Reliability goals for individual components. In this paper, a software Reliability Allocation model has been proposed incorporating the user view point about various functions of a software. Proposed Reliability Allocation method attempts to answer the question ‘how reliable should the system components be?' The proposed model will be useful for determining the Reliability goal at the planning and design phase of a software project, hence making Reliability a singular measure for performance evaluation. Proposed model requires a systematic formulation of user requirements and preference into the technical design and Reliability of the software. To accomplish this task, a system hierarchy has been established, which combines the user’s ...
Alessandro Silvestri - One of the best experts on this subject based on the ideXlab platform.
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Mathematical models for Reliability Allocation and optimization for complex systems
Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures, 2017Co-Authors: Domenico Falcone, Gianpaolo Di Bona, Alessandro Silvestri, Antonio ForcinaAbstract:RAMS is an acronym for Reliability, Availability, Maintainability and Safety. These four properties concern the application of important methodologies for designing and managing complex technical systems. The present chapter analyses several Reliability Allocation techniques present in literature. Starting from well-known methodologies, two Reliability Allocation methods has been proposed and validated: Integrated Factors Method (I.F.M.) and Critical Flow Method (C.F.M.). We focus on the most important conventional methods to discuss their limitations to motivate the current research.
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A-IFM Reliability Allocation model based on multicriteria approach
International Journal of Quality & Reliability Management, 2016Co-Authors: Gianpaolo Di Bona, Antonio Forcina, Antonella Petrillo, Fabio De Felice, Alessandro SilvestriAbstract:Purpose – The purpose of this paper is to evaluate Reliability Allocation using an aerospace system prototype. The proposed approach has been applied and compared with other traditional methods on an aerospace system prototype, where the Reliability Allocation process is rigorous. Design/methodology/approach – The new approach is based on integrated factors method (IFM), whose values are adjusted trough a multicriteria method, the analytic hierarchy process, depending on the importance of each factor and each unit of the system. The result is a dynamic model, that combines the advantages of the Allocation method and the multicriteria decision-making technique. Findings – The reasons that led to the development of the IFM-based AHP are the outcome of a careful analysis of the current military and commercial approaches. In particular most of analyzed methods use constant weights for the factors involved in the Reliability Allocation; different weights are rarely assigned to these factors. Research limitatio...
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A New Method for Reliability Allocation: Critical Flow Method
Lecture Notes in Mechanical Engineering, 2015Co-Authors: Alessandro Silvestri, Antonio Forcina, Domenico Falcone, G. Di Bona, Cristina Cerbaso, Vincenzo DuraccioAbstract:A complex system consists of many subsystems, which are developed concurrently and sometimes independently. It would be too late to validate the system Reliability until the final system prototype is ready after months or years of development. From a project management point of view, the Reliability of each subsystem or sub-function should be examined as early as possible. Therefore, the Allocation of a reasonable Reliability requirement to each subsystem and sub-function based on the system Reliability target is very important. The present work analyses, in literature, the main Reliability Allocation techniques. Starting from the known methodologies, a new critical flow method for Reliability Allocation method has been developed. The proposed method can be used for complex system with serial and parallel configurations.