Recent Advances in Optimal Reliability Allocation

Kuo, Way; Wan, Rui

doi:10.1109/tsmca.2006.889476

Cited by 296 publications

(74 citation statements)

References 124 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, precise and advanced CNC machines account for 65% of the whole equipment investment. Hence, the investigation of CNC lathes for the optimal reliability design is very important [19,20,45]. The target reliability for the vertical CNC lathe is required to be 0.875.…”

Section: Low Carbon-oriented Reliability Apportionmentmentioning

confidence: 99%

“…Hence, product failure is an inevitable aspect of optimization design based on reliability. Usually, the effect of product failure is measured by the failure frequency and failure severity [17,18], and some scholars recently [19][20][21][22][23] handled the failure effect in product reliability optimal design with risk priority number (RPN) information produced by the qualitative analysis and quantitative calculation of failure mode effects analysis (FMEA). FMEA is defined as an analysis model to recognize various failure modes occurring in a system and the corresponding impacts on the whole product function.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis

et al. 2017

View full text Add to dashboard Cite

Abstract:The problem of large amounts of carbon emissions causes wide concern across the world, and it has become a serious threat to the sustainable development of the manufacturing industry. The intensive research into technologies and methodologies for green product design has significant theoretical meaning and practical value in reducing the emissions of the manufacturing industry. Therefore, a low carbon-oriented product reliability optimal design model is proposed in this paper:(1) The related expert evaluation information was prepared in interval numbers; (2) An improved product failure analysis considering the uncertain carbon emissions of the subsystem was performed to obtain the subsystem weight taking the carbon emissions into consideration. The interval grey correlation analysis was conducted to obtain the subsystem weight taking the uncertain correlations inside the product into consideration. Using the above two kinds of subsystem weights and different caution indicators of the decision maker, a series of product reliability design schemes is available; (3) The interval-valued intuitionistic fuzzy sets (IVIFSs) were employed to select the optimal reliability and optimal design scheme based on three attributes, namely, low carbon, correlation and functions, and economic cost. The case study of a vertical CNC lathe proves the superiority and rationality of the proposed method.

show abstract

Section: Low Carbon-oriented Reliability Apportionmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Such simple networks problems are optimized by allocating rational redundancy to weak components or replacing them with higher reliable components (Kuo and Wan 2007;Mariano and Kuri-Morales 2014;Sadjadi and Soltani 2009). Nevertheless, on account that computer numerical control (CNC) machines have been widely used and they are flexible enough to process various machining tasks, a network analogy can be constructed based on the material flow of numerous products.…”

Section: Reliability Analysis Of Systems With Network Structuresmentioning

confidence: 99%

Reliability evaluation and component importance measure for manufacturing systems based on failure losses

Zhang

et al. 2015

J Intell Manuf

View full text Add to dashboard Cite

Little work has been done to assess the reliability of a vital system like the manufacturing system. In this article, a novel and effective system reliability evaluation method in terms of failure losses has been proposed for manufacturing systems of job shop type, and then the failure losses based component importance measure (CIM) is used for importance analysis of equipment. The former indicates the present system reliability situation and the latter points the way to reliability improvement efforts. In this scheme, the problem is described and modeled by a dynamic directed network. Consider that the actual processing time of machines is to contribute to failure occurrence, it is used to calculate the failure times and failure losses. The obtained total failure times and failure losses of the system are applied to evaluate its reliability. Techniques to estimate two kinds of failure losses based CIMs are presented. They offer guidelines to realize system reliability growth cost-effectively. A case study of a real job shop is provided as an example to demonstrate the validity of the proposed methods. Comparison to other commonly used methods shows the efficiency of the proposed methods. CNCComputer numerical control DNC Distributed numerical control ERP Enterprise resource planning FT Failure times MES Manufacturing execution system MPT Machine processing time MTBF Mean time between failure MTTF Mean time to failure MTTR Mean time to repair OEE Overall equipment effectiveness RFID Radio frequency identification WDN Weighted and directed network WIP Work-in-process t, T Sequence number of time intervals (number of all intervals is T ) i, I t Sequence number of products items (number of all items is I t ) j, J t Sequence number of processes during t (J t is the maximum value) k, K Sequence number of equipment (number of all equipment is K ) G t WDN during t M k Equipment k r k Failure rate of M k F T tk Failure times of M k during t T total Total time V ti Volume size of item i during t B ti j Processing time of item i for the jth process during t x ti jk Be equal to 1 if M k is used for machining the jth process of item i during t, 0 otherwise MT B F k MTBF of M k MT T R k MTTR of M k C k Average maintenance cost for every repair process of M k 123 J Intell Manuf P L tk Production losses for M k during time period t C f k

show abstract

“…Instead, heuristic approaches are suitable for solving such complex nonlinear optimization problems (Kuo and Wan 2007). Among several types of heuristic algorithms, the genetic algorithm conducts a random, yet directed search process, according to biological reproduction rules (Srinivas and Patnaik 1994).…”

Section: Solution Techniques Based On a Genetic Algorithmmentioning

confidence: 99%

Nonlinear fault detection threshold optimization method for RAIM algorithm using a heuristic approach

Liu

Tan

et al. 2015

GPS Solut

View full text Add to dashboard Cite

The threshold value used in receiver autonomous integrity monitoring algorithms to identify faults has a significant impact on positioning integrity and GPS/ GNSS availability. The value is usually selected empirically or under certain distribution assumptions; its calculation for a non-Gaussian test statistic has not been solved. For fault detection methods using a particle filter, a new heuristic method is proposed to select an appropriate fault detection threshold value using an optimization model. In this method, a non-Gaussian cumulative log likelihood ratio (LLR) value is used as the test statistic. Its threshold is determined using an integrity risk minimization problem with an availability constraint. Since there is no closed form for this optimization model, a genetic algorithm with a local search strategy is adopted to find a near-optimal solution. Experimental results show that this method can be used to compute the non-Gaussian fault detection threshold value subject to different availability constraints. Comparisons with empirical and distribution-based methods indicate that while meeting the same probability for falsealert constraint, the probability of missed detection in the optimized approach is much lower than for other methods, especially for small numbers of errors. Since the cumulative LLR value does not exhibit obvious statistical features for any distribution, the performance of our optimized approach is stable for different test cases and satellite data sets.

show abstract

Recent Advances in Optimal Reliability Allocation

Cited by 296 publications

References 124 publications

Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis

Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis

Reliability evaluation and component importance measure for manufacturing systems based on failure losses

Nonlinear fault detection threshold optimization method for RAIM algorithm using a heuristic approach

Contact Info

Product

Resources

About