Economic design of an integrated adaptive synthetic  chart and maintenance management system

Wan, Qiang; Wu, Yongzhong; Zhou, Wenhui; Chen, Xiaohong

doi:10.1080/03610926.2016.1271425

Cited by 20 publications

(10 citation statements)

References 35 publications

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“…Reference [20] also presented an integration model of VP Shewhart control chart and maintenance based on economic-statistical design approach. More recently, [21] presented an integrated model of maintenance and quality control with an adaptive syntheticX control chart. Inspired by the work of [19] and [11], [22] integrated the economic-statistical design of a VP-Shewhart control chart with condition-based maintenance for two-unit series systems.…”

Section: Literature Review Notationsmentioning

confidence: 99%

Economic-Statistical Design of Integrated Model of VSI Control Chart and Maintenance Incorporating Multiple Dependent State Sampling

Wan

2020

IEEE Access

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The mutualistic relationship between quality control and maintenance of production systems has contributed to the development of the integration model of statistical process control (SPC) and maintenance. Such models are not only beneficial to the improvement of production quality, but also to the reduction of maintenance cost. This paper presents an integrated model of SPC and maintenance that applies a VSI & MDSSX control chart designing based on the variable sampling interval (VSI) scheme and multiple dependent/deferred state sampling (MDSS) policy. A Markov chain approach is employed to model the integrated process, and the average total cost per unit time is derivated and solved by a developed genetic algorithm subject to statistical quality constraints. A shrimp canning production process example is given to illustrate the application of integrated model. Finally, a comparative study using the design of experiments approach is conducted to demonstrate the effectiveness of the suggested model. INDEX TERMS Statistical process control, maintenance, multiple dependent state sampling, variable sampling interval.

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Section: Literature Review Notationsmentioning

confidence: 99%

Economic-Statistical Design of Integrated Model of VSI Control Chart and Maintenance Incorporating Multiple Dependent State Sampling

Wan

2020

IEEE Access

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“…Then

P_{2} false(A false| δ false)

is equal to (refer to Equation (A.6) of Ref. [32])

P_{2} false(A false| δ false) = Φ false(l - δ \sqrt{n_{\overset{X}{true}}} false) + Φ false(l + δ \sqrt{n_{\overset{X}{true}}} false) - 1 .

…”

Section: The Fsi Npx−x¯ Control Chartmentioning

confidence: 99%

“…Successful applications of GA in the economic designs of control charts can be found in ref. [32,38,39].…”

Section: Economic Design Modelmentioning

confidence: 99%

Integration of quadratic loss function approach in the economic design of VSI control chart with combined attribute‐variable inspection

Wan

Mei

2020

Quality & Reliability Eng

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This paper proposes a variable sampling interval npx−X¯ control chart for monitoring the process mean using combined attribute‐variable inspection. An economic design of the proposed chart using Taguchi's quadratic loss function is presented. The proposed model minimizes the total expected cost per unit time while minimizing out‐of‐control average time‐to‐signal and maintaining reasonable in‐control average time‐to‐signal. The numerical results indicate that, compared with the corresponding fixed sampling interval control chart scheme, the proposed control chart yields better performance in terms of both shorter time to signal a process shift and less total expected cost per unit time. Sensitivity analyses of the cost model are also carried out by using a fractional factorial experimental design.

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“…In the case of monitoring process variation, the economic design of the upper one‐sided chart of Guo et al in the presence of measurement errors was studied by Hu et al Lee and Khoo provided the economic‐statistical design of the S1 Max chart of Chen and Huang . Finally, Wan et al studied the integrated economic design of the adaptive IS1 chart of Yu et al and the maintenance management system.…”

Section: Literature Reviewmentioning

confidence: 99%

An overview of synthetic‐type control charts: Techniques and methodology

Rakitzis

Chakraborti

Shongwe

et al. 2019

Quality & Reliability Eng

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In this paper, we provide an overview of a class of control charts called the synthetic charts. Synthetic charts are a combination of a traditional chart (such as a Shewhart, CUSUM, or EWMA chart) and a conforming run‐length (CRL) chart. These charts have been considered in order to maintain the simplicity and improve the performance of small and medium‐sized shift detection of the traditional Shewhart charts. We distinguish between different types of synthetic‐type charts currently available in the literature and highlight how each is designed and implemented in practice. More than 100 publications on univariate and multivariate synthetic‐type charts are reviewed here. We end with some concluding remarks and a list of some future research ideas.

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Economic design of an integrated adaptive synthetic chart and maintenance management system

Cited by 20 publications

References 35 publications

Economic-Statistical Design of Integrated Model of VSI Control Chart and Maintenance Incorporating Multiple Dependent State Sampling

Economic-Statistical Design of Integrated Model of VSI Control Chart and Maintenance Incorporating Multiple Dependent State Sampling

Integration of quadratic loss function approach in the economic design of VSI control chart with combined attribute‐variable inspection

An overview of synthetic‐type control charts: Techniques and methodology

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