Statistical process control using optimized neural networks: A case study

Addeh, Jalil; Ebrahimzadeh, Ataollah; Azarbad, Milad; Ranaee, Vahid

doi:10.1016/j.isatra.2013.07.018

Cited by 41 publications

(9 citation statements)

References 25 publications

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“…In order to obtain more profit, the mature cuckoos seek the best habitat and migrate towards goal. The COA has been successfully applied to various optimisation problems, such as: distributed generator allocation problem of radial distribution system [39], combined heat and power economic dispatch problem [40], statistical process control [41] and graph colouring problem [42].…”

Section: Cuckoo Optimisation Algorithmmentioning

confidence: 99%

Lifetime efficiency index model for optimal maintenance of power substation equipment based on cuckoo optimisation algorithm

Afzali

Keynia

2017

IET Generation, Transmission & Distribution

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Section: Cuckoo Optimisation Algorithmmentioning

confidence: 99%

Lifetime efficiency index model for optimal maintenance of power substation equipment based on cuckoo optimisation algorithm

Afzali

Keynia

2017

IET Generation, Transmission & Distribution

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“…SPC techniques are practical tools for labelling the existence of assignable causes in manufacturing and service industries (Chen, 2005). When the process has altered, the control chart generates an out-of-control signal (Addeh, Ebrahimzadeh, Azarbad, & Ranaee, 2014). Regardless of the industry, the implementation of SPC techniques has been indicated beneficial to the organizations (Lim, Antony, He, & Arshed, 2017).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy analytic hierarchy process‐integrated statistical process control: An application of demerit chart at furniture manufacturing company

Sağnak

Kazançoğlu

2019

Multi Criteria Decision Anal

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Statistical process control techniques, especially control charts, have been popular tools for tracking and analysing the quality improvement process. Control charts make measurements in respect to the central line and the upper and lower control limits of a process and allow corrective action to be taken. It may be not adequate when the quality characteristics include properties requiring the usage of linguistic variables (e.g., very poor, poor, average, good, and very good) rather than identifying them just conforming or nonconforming. The demerit chart is a control chart for attributes that allows the arrangement of the relative exact weight (real number), consistent with the various levels of defects. In this paper, in order to hire linguistic weights, a demerit chart was integrated with fuzzy analytical hierarchy process, mainly through the determination of weights in accordance with the degrees of defects, after which the central line and upper and lower limits were calculated.

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“…More details can be seen in other studies. [6][7][8][9][10][11][12][13][14][15][16][17] In the modern age, the average lifetime of the product has been enhanced. Because of high reliability of product, it is not possible to wait for the desired number of failures from a sample.…”

Section: Introductionmentioning

confidence: 99%

A new variable control chart under failure‐censored reliability tests for Weibull distribution

Khan

Aslam

Raza

2018

Quality & Reliability Eng

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In this paper, we propose a new variable control chart under type II or failure‐censored reliability tests by assuming that the lifetime of a part follows the Weibull distribution with fixed and stable shape parameter. The purpose is to monitor the mean and the variance of a Weibull process. In fact, the mean and the variance are related to the scale parameter. The necessary measures are given to calculate the average run length (ARL) for in‐control and shifted processes. The tables of ARLs are presented for various shift constants and specified parameters. A simulation study is given to show the performance of the proposed control chart. The efficiency of the proposed control chart is compared with a control chart based on the conditional expected value under type II censoring. An example is also given for the illustration purpose.

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Statistical process control using optimized neural networks: A case study

Cited by 41 publications

References 25 publications

Lifetime efficiency index model for optimal maintenance of power substation equipment based on cuckoo optimisation algorithm

Lifetime efficiency index model for optimal maintenance of power substation equipment based on cuckoo optimisation algorithm

Fuzzy analytic hierarchy process‐integrated statistical process control: An application of demerit chart at furniture manufacturing company

A new variable control chart under failure‐censored reliability tests for Weibull distribution

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