Research on reliability allocation technology for NC machine tool meta‐action.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 2016, doi. 10.1002/qre.2489
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- Article
Works in Quality & Reliability Engineering International, 2019, Vol 35, Issue 6
Results: 31
1
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Detecting the process changes for multivariate nonlinear profile data.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1890, doi. 10.1002/qre.2482
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- Article
3
Reliability analysis of multi‐state series systems with performance sharing mechanism under epistemic uncertainty.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1998, doi. 10.1002/qre.2488
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- Article
4
Impacts of networking effects on software reliability growth processes: A multi‐attribute utility theory approach.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1952, doi. 10.1002/qre.2486
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- Article
5
Sequential latin hypercube design with both space‐filling and projective properties.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1941, doi. 10.1002/qre.2485
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- Publication type:
- Article
6
Visualizing when prior information can reduce the necessary size of a reference sample when estimating in‐control parameters for Shewhart and CUSUM charts for a normal process.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1929, doi. 10.1002/qre.2484
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- Article
7
A sequential weighted Laplacian‐regularized optimal design for response surface modeling of expensive functions with outliers: An application in linear elastic fracture mechanics.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1911, doi. 10.1002/qre.2483
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- Article
8
One‐sided runs‐rules schemes to monitor autocorrelated time series data using a first‐order autoregressive model with skip sampling strategies.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1973, doi. 10.1002/qre.2487
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- Article
9
The SPRT control chart for process dispersion.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1878, doi. 10.1002/qre.2481
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- Article
10
A continuous‐time Markov chain model for redundancy allocation problem: An economic analysis.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1866, doi. 10.1002/qre.2480
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- Article
11
Nonparametric cost‐minimized Shewhart‐type process monitoring with restricted false alarm probability.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1846, doi. 10.1002/qre.2479
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- Article
12
System‐level reliability sensitivity analysis by using weighted average simulation method.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1826, doi. 10.1002/qre.2478
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- Article
13
A synthetic double sampling control chart for process mean using auxiliary information.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1803, doi. 10.1002/qre.2477
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- Article
14
Impact analysis of change in component reliabilities in safety‐critical systems.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 2051, doi. 10.1002/qre.2476
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- Article
15
Design of a t‐chart using generalized multiple dependent state sampling.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1789, doi. 10.1002/qre.2475
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- Article
16
Phase‐I monitoring of log‐linear model‐based processes (a case study in health care: Kidney patients).
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1766, doi. 10.1002/qre.2474
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- Article
17
Detecting outbreaks in temporally dependent networks.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1753, doi. 10.1002/qre.2473
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- Article
18
A linguistic risk prioritization approach for failure mode and effects analysis: A case study of medical product development.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1735, doi. 10.1002/qre.2472
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- Article
19
One‐sided control chart based on support vector machines with differential evolution algorithm.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1634, doi. 10.1002/qre.2465
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- Article
20
Location charts based on ranked set sampling for normal and non‐normal processes.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1603, doi. 10.1002/qre.2463
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- Publication type:
- Article
21
A double exponentially weighted moving average chart based on likelihood ratio for monitoring an inflated Pareto process.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1698, doi. 10.1002/qre.2469
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- Publication type:
- Article
22
Power approximations for failure‐time regression models.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1666, doi. 10.1002/qre.2467
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- Article
23
A method for construction of mixed‐level fractional designs.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1646, doi. 10.1002/qre.2466
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- Publication type:
- Article
24
A spatial rank–based multivariate EWMA chart for monitoring process shape matrices.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1716, doi. 10.1002/qre.2471
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- Publication type:
- Article
25
Cognitive Reliability Error Analysis Method (CREAM) at the International Thermonuclear Experimental Reactor (ITER).
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1621, doi. 10.1002/qre.2464
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- Article
26
Failure mode and effects analysis by integrating Bayesian fuzzy assessment number and extended gray relational analysis‐technique for order preference by similarity to ideal solution method.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1676, doi. 10.1002/qre.2468
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- Article
27
On the omega probability distribution.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 2045, doi. 10.1002/qre.2462
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- Article
28
The construction of robust mixture‐process experimental designs via genetic algorithm.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1582, doi. 10.1002/qre.2461
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- Article
29
An adaptive approach to EWMA dispersion chart using Huber and Tukey functions.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1542, doi. 10.1002/qre.2460
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- Article
30
An EWMA control chart for the multivariate coefficient of variation.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1515, doi. 10.1002/qre.2459
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- Article
31
Issue Information.
- Published in:
- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. N.PAG, doi. 10.1002/qre.2361
- Publication type:
- Article