Failure probabilistic model of CNC lathes

Wang, Yiqiang; Jia, Yali; Yu, Jiguo; Zheng, Yubin; Yi, Shangfeng

doi:10.1016/s0951-8320(98)00102-1

Cited by 41 publications

(32 citation statements)

References 8 publications

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“…Most of them are based on statistical failure and repair data for months under normal working condition, such as the reliability of common mechanical devices (Wang et al 2013), CNC lathe (Wang et al 1999), machining center (Dai and Jia 2001;Liu et al 2011) and the reliability assessment for food production lines (Tsarouhas and Arvanitoyannis 2010). As for reliability analysis of manufacturing systems, manufacturing resources like machines are generally regarded as unreliable individuals.…”

Section: Reliability Assessment For Machining Systemsmentioning

confidence: 99%

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

Zhang

et al. 2015

J Intell Manuf

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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

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Section: Reliability Assessment For Machining Systemsmentioning

confidence: 99%

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

Zhang

et al. 2015

J Intell Manuf

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“…The difference of reliability design between non-NC and NC machine tools is that the speeds and forces of NC machine tools change continuously [9]. Figure 2 shows typical histograms of reliability information [10].…”

Section: Introductionmentioning

confidence: 99%

Recent development in reliability analysis of NC machine tools

2015

Int J Adv Manuf Technol

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Numerical control (NC) machine tools are the fundamental equipment of the machinery industry. The reliability of NC machine tools directly influences the processing quality, productivity, and efficiency. This paper reviews the latest developments in the reliability analysis of NC machine tools. The main analysis methods and modeling techniques used in reliability assessment of NC machine tools are illustrated with brief case studies. The reliabilities of typical subsystems of NC machine tools are discussed. In addition, several important key problems and issues remain to be addressed about the reliability analysis of NC machine tools and opportunities for further research are identified.

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“…His aim was to reveal the nature of randomness in realistic problems and to assess the validity of exponential and independent assumptions for service times, inter-arrival times, cycles between failures, and times to repair. Wang et al (1999) described the failure analysis of computerized numerical control (CNC) lathes; the field failure data was collected over a period of two years on approximately 80 CNC lathes.…”

Section: Introductionmentioning

confidence: 99%