A joint-adaptive np control chart with multiple dependent state sampling scheme

Zhou, Wenhui; Wan, Qiang; Zheng, Yanfang; Zhou, Yong-Wu

doi:10.1080/03610926.2015.1132323

Cited by 22 publications

(11 citation statements)

References 32 publications

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“…MDS sampling procedure belongs to the group of the conditional sampling scheme procedures. The traditional control charts are the static charts which utilize only the current status of the process and do not consider the situation of the neighboring inspection results of the process . Govindaraju and Subramani developed MDS sampling plans for the minimum sum of the producer's and the consumer's risks using a specific acceptable quality level and the limiting quality level.…”

Section: Introductionmentioning

confidence: 99%

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Design of a t‐chart using generalized multiple dependent state sampling

Aslam

Raza

Ahmad

2019

Quality & Reliability Eng

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In this article, a new t-chart based on generalized multiple dependent state (GMDS) sampling is proposed for efficient monitoring of a process by assuming that the time between events follows the exponential distribution. The proposed t-chart has two pair of control limits and utilizes the past sample information with the current sample information. The control chart coefficients are estimated by considering different values of the in-control average run lengths. The proposed t-chart is compared with the existing chart by using the out-of-control average run length and extra quadratic loss function. The comparison reveals that the proposed charting strategy has better shift detection ability in process mean. An illustrative example is given for the practical implementation of the proposed chart.

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Section: Introductionmentioning

confidence: 99%

“…Aldosari et al developed the attribute control chart by combining two sampling schemes of repetitive sampling and the MDS sampling. Zhou et al introduced a joint adaptive np control chart under the MDS sampling scheme. Average run length (ARL) is used to evaluate the performance of any control chart scheme .…”

Section: Introductionmentioning

confidence: 99%

Design of a t‐chart using generalized multiple dependent state sampling

Aslam

Raza

Ahmad

2019

Quality & Reliability Eng

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“…Reference [26] introduced a new chart based on MDSS to monitor processes with exponentially distributed quality characteristics. Reference [27] proposed a double sampling and variable sampling interval (DSVSI) np chart by integrating the DSVSI and MDSS policy in the design of traditional np chart. All the above-mentioned papers indicate that the MDSS policy is helpful in improving the statistical/economic performance of the initial control chart.…”

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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“…Aldosari et al [21] developed an MDS sampling control chart for attribute quality characteristics using the repetitive group sampling scheme. Zhou et al [22] adopted the MDS sampling scheme using a joint adaptive np chart for improved checking of the manufacturing process. Afshari and Sadeghpour Gildeh [23] described the MDS sampling plan for an attribute using the fuzzy environment.…”

Section: Introductionmentioning

confidence: 99%

Multiple Dependent State Sampling-Based Chart Using Belief Statistic under Neutrosophic Statistics

Shawky

Aslam

Khan

2020

Journal of Mathematics

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In this paper, a control chart scheme has been introduced for the mean monitoring using gamma distribution for belief statistics using multiple dependent (deferred) state sampling under the neutrosophic statistics. The coefficients of the control chart and the neutrosophic average run lengths have been estimated for specific false alarm probabilities under various process conditions. The offered chart has been compared with the existing classical chart through simulation and the real data. From the comparison, it is concluded that the performance of the proposed chart is better than that of the existing chart in terms of average run length under uncertain environment. The proposed chart has the ability to detect a shift quickly than the existing chart. It has been observed that the proposed chart is efficient in quick monitoring of the out-of-control process and a cherished addition in the toolkit of the quality control personnel.

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A joint-adaptive np control chart with multiple dependent state sampling scheme

Cited by 22 publications

References 32 publications

Design of a t‐chart using generalized multiple dependent state sampling

Design of a t‐chart using generalized multiple dependent state sampling

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

Multiple Dependent State Sampling-Based Chart Using Belief Statistic under Neutrosophic Statistics

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