Asymmetric control limits for range chart with simple robust estimator under the non-normal distributed process

Karagöz, Derya

doi:10.1007/s40096-018-0265-1

Cited by 12 publications

(9 citation statements)

References 23 publications

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“…Thus, in contrast to a normal distribution, the form of lognormal distribution indicates the state of degradation and destruction of the building. In the model of multiplicative interaction, the random influence of a factor is considered, in addition to the state of the system itself on which that factor acts [38].…”

Section: Methodsmentioning

confidence: 99%

Risk Assessment Models to Improve Environmental Safety in the Field of the Economy and Organization of Construction: A Case Study of Russia

2021

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This article assesses risks in order to substantiate the economic and organizational efficiency of housing and industrial construction. This topic is relevant because it is necessary for sustainable development. In Russia, environmental safety in construction and housing, as well as communal services, is poorly developed and not regulated by the legal system. As building construction, housing, and communal services should be based on environmental safety, this topic requires rapid development. Methods related to quantifying environmental risk and making decisions under conditions of uncertainty were studied. A quantitative risk assessment was performed using the Monte Carlo method for pessimistic and optimistic options to prevent environmental damage. The model reproduced the distribution derived from the evidence-based fit. The results of sensitivity analysis are also presented to prove the hypothesis. The selection of the most appropriate probability density functions for each of the input quantities was implemented through settings in a computer program. The simulation modeling results clearly illustrate the choice of the general principle of assessment and the adoption of the optimal decision. In conditions of uncertainty, the decision to choose the optimistic options with high cost (to maintain the reliability of the technical system) but less risk plays a decisive role in the future environmental safety strategies of construction projects. The Monte Carlo method is preferable for environmental impact assessments. In the future, the amended methodology can be applied to raise environmental safety in the field of construction.

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Section: Methodsmentioning

confidence: 99%

Risk Assessment Models to Improve Environmental Safety in the Field of the Economy and Organization of Construction: A Case Study of Russia

2021

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“…Moreover, since mean is affected by extreme values, the deviation from median, which is fifth decile, is also recommended by Schoonhoven and Does 29 and recently trimmed versions of estimators to deal with extreme values are also proposed by Karagoz 30 …”

Section: Analyses and Interpretationmentioning

confidence: 99%

Monitoring process variability using decile mean standard deviation

Abu-Shawiesh

Saeed

2021

Quality & Reliability Eng

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The control charts are essential tools in order to monitor the process quality as well as are used in numerous industries. The classical Shewhart S‐control chart is the most prevalent control chart in Statistical Process Control (SPC) for assessing changes in process over time. This paper modifies the S‐control chart by proposing SDDM‐control chart based on the SDDM (decile mean standard deviation), which presume that the quality function is monitored normally. The traditional and proposed control charts’ performances under study are evaluated via a Monte‐Carlo simulation study by estimating expected widths (EW) as well as expected out‐of‐control points (EPO). In the simulation, the average out of control run length (ARL1) is considered the best method for analyzing sensitivity of the control charts. The outcomes of the simulation analysis revealed that the proposed SDDM‐control chart is well performed and very close contender of the classical S‐control chart insofar that the improvement in process variability is very similar to that of the S‐control chart. In addition, the architecture layout of the proposed SDDM‐control chart is more powerful than the conventional S‐control chart for the smaller sample size value (n) that is the most realistic situation in SPC applications. Hence the proposed chart is equally compatible for shift detection under normal process. In case of abnormal processes, the proposed SDDM‐control limits are less affected by the presence of outliers. A real‐life dataset is evaluated to help our observations from the simulation analysis for illustrative purposes. Consequently, the SDDM version of the S‐control chart is recommended to be used by the practitioners in various fields of industry, engineering, medical and physical sciences.

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“…Further details on the usage of non-normal distribution in CC can be found in Chou et al, 6 Stoumbos and Sullivan, 7 Chen and Cheng, 8 Aslam et al, 9 Chen and Yeh, 10 Huberts et al, 11 Aslam et al, 9,8 ) and Karagöz. 12 Control chart is classified by two process monitor styles, that is, variable control chart (VCC) and attribute control chart (ACC). VCC such as X-bar, R and S charts are used to track the operation while the distribution of the underlying process is continuous Whereas ACC is used when the quality characteristic is classified as conforming and non-conforming items.…”

Section: Introductionmentioning

confidence: 99%

Performance of attribute control charts for monitoring the shape parameter of modified power function distribution in the presence of measurement error

Zaka

Naveed

Jabeen

2021

Quality & Reliability Eng

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In this paper, we develop attribute control charts (CCs) using two life data distributions named as Transmuted Power function distribution (TPFD) and Survival Weighted Power function distribution (SWPFD) under a time truncated life test (TTLT). The evaluation of the presented charts is based on the average run length and presented these evaluations in form of tables. The comparative study has been done for the suggested CCs in detail based on the criteria of average run length. We take up a real-life situation assuming that the lifespan of the items under study follows the TPFD and SWPFD to assess the competence of the proposed idea. A simulation study is given to support our idea that the CCs based on SWPFD performs better as compare to control chart based on TPFD for monitoring of non-conforming items.

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Asymmetric control limits for range chart with simple robust estimator under the non-normal distributed process

Cited by 12 publications

References 23 publications

Risk Assessment Models to Improve Environmental Safety in the Field of the Economy and Organization of Construction: A Case Study of Russia

Risk Assessment Models to Improve Environmental Safety in the Field of the Economy and Organization of Construction: A Case Study of Russia

Monitoring process variability using decile mean standard deviation

Performance of attribute control charts for monitoring the shape parameter of modified power function distribution in the presence of measurement error

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