نتایج جستجو برای: machine reliability

تعداد نتایج: 402020  

2008
Horst Zuse

Konrad Zuse built the machine Z3 from 1939 to 1941 in the Methfesselstraße 7 in BerlinKreuzberg with some friends and a small support by the government. With the Z3 Konrad Zuse wanted to show, that it is possible to build a reliable working machine for very complicated arithmetic calculations, which is freely programmable and is based on a binary floating point number and switching system. For ...

Amir Saman Kheirkhah Bahman Esmailnezhad Parviz Fattahi

This paper presents a new mathematical model to solve cell formation problem in cellular manufacturing systems, where inter-arrival time, processing time, and machine breakdown time are probabilistic. The objective function maximizes the number of operations of each part with more arrival rate within one cell. Because a queue behind each machine; queuing theory is used to formulate the model. T...

2016
Osman N. C. Yilmaz

Machine-to-machine communication, M2M, will make up a large portion of the new types of services and use cases that the fifth generation (5G) systems will address. On the one hand, 5G will connect a large number of low-cost and low-energy devices in the context of the Internet of things; on the other hand it will enable critical machine type communication use cases, such as smart factory, autom...

2018
Leonardo Mariani Cristina Monni Mauro Pezz'e Oliviero Riganelli Rui Xin

By leveraging large clusters of commodity hardware, the Cloud offers great opportunities to optimize the operative costs of software systems, but impacts significantly on the reliability of software applications. The lack of control of applications over Cloud execution environments largely limits the applicability of state-of-the-art approaches that address reliability issues by relying on heav...

Journal: :Annals OR 2000
Jingshan Li Semyon M. Meerkov

The problem of production variability in serial manufacturing lines with unreliable machines is addressed. Bernoulli statistics of machine reliability are assumed. Three problems are considered: the problem of production variance, the problem of constant demand satisfaction, and the problem of random demand satisfaction generated by another (unreliable) production line. For all three problems, ...

2001
C. A. 2 LABMETRO - Metrology Schneider

An alternative technique for the geometric test of machining centres was developed, to congregate metrological reliability with operational and economical advantages, when comparing to methods classically used for such task. A touch probe is used on a 3-axis vertical machine center to check against artifacts calibrated on a coordinate measuring machine (CMM). By comparing the results obtained f...

2013
RITIKA WASON P. AHMED QASIM RAFIQ

-The paper presents a novel approach for runtime reliability estimation of executable software during software execution. The proposed model does not depend on post failure data analysis whose accuracy depends on assumptions about some dubious statistical distribution. Instead the model captures required estimates during runtime from state to state transition. Thus, the model computes software ...

2017
D. V. N. Prabhakar M. Sreenivasa Kumar

Recent advances in manufacturing technology and industrial automation require efficient and quality oriented machining practices. Performance, cost effectiveness and reliability of the work piece depends on the quality of surface roughness and can be measured with contact (conventional) and non contact (advanced) methods. Various measurement techniques starting from stylus to machine vision are...

The fundamental function of a cellular manufacturing system (CMS) is based on definition and recognition of a type of similarity among parts that should be produced in a planning period. Cell formation (CF) and cell layout design are two important steps in implementation of the CMS. This paper represents a new nonlinear mathematical programming model for dynamic cell formation that employs the ...

1995
Diane J. Litman Rebecca J. Passonneau

We predict discourse segment boundaries from linguistic features of utterances, using a corpus of spoken narratives as data. We present two methods for developing segmentation algorithms from training data: hand tuning and machine learning. When multiple types of features are used, results approach human performance on an independent test set (both methods), and using cross-validation (machine ...

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