Statistical quality control based on the process capability index and control charts with fuzzy approach (Case study: water and wastewater company of West Azarbaijan province)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

alinejad Khosro; DABBAGH RAHIM; SHIRZAD AKBAR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR) Year:2020 | Volume:51 | Issue:4 Page(s): 699-712

Download Full-Text

Persian Verion

View:

2,198

Download:

Cites:

Information Journal Paper

Title

Statistical quality control based on the process capability index and control charts with fuzzy approach (Case study: water and wastewater company of West Azarbaijan province)

Author(s)

alinejad Khosro | DABBAGH RAHIM | SHIRZAD AKBAR | Issue Writer Certificate

Keywords

quality controlQ2

control chartsQ1

actual efficiency of processQ1

Fuzzy LogicQ2

water metersQ1

Abstract

Statistical quality control is a method for monitoring the process to identify the underlying causes of changes and carrying out corrective actions. Process and capability control charts are two important applied tools for statistical quality control. In many actual systems in which accurate and certain information is not always available and the information is vague and fuzzy, fuzzy based methods can survey production process more precisely using appropriate linguistic terms and fuzzy numbers. In this study, fuzzy control charts are developed using fuzzy rules, and then the fuzzy actual capability index of process ( ) is investigated to evaluate the precision, accuracy and performance of production process in the fuzzy state. The results of the study on the quality of water flowmeters in the urban water and wastewater company of West Azarbaijan province showed that using fuzzy rules compared to the crisp data, provides more decision-making options to decision-makers and provides more precise division about the product quality. Also, the fuzzy actual capability index of process can propose a more precise analysis of the process taking into account the average, target value and process variance, simultaneously. The values of the fuzzy actual capability index of process in the studied case are less than one, showing that the conditions of the production process are unfavorable.

Cites

No record.

References

No record.

Cite

APA: Copy

alinejad, Khosro, DABBAGH, RAHIM, & SHIRZAD, AKBAR. (2020). Statistical quality control based on the process capability index and control charts with fuzzy approach (Case study: water and wastewater company of West Azarbaijan province). AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), 51(4 ), 699-712. SID. https://sid.ir/paper/165669/en

Vancouver: Copy

alinejad Khosro, DABBAGH RAHIM, SHIRZAD AKBAR. Statistical quality control based on the process capability index and control charts with fuzzy approach (Case study: water and wastewater company of West Azarbaijan province). AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR)[Internet]. 2020;51(4 ):699-712. Available from: https://sid.ir/paper/165669/en

IEEE: Copy

Khosro alinejad, RAHIM DABBAGH, and AKBAR SHIRZAD, “Statistical quality control based on the process capability index and control charts with fuzzy approach (Case study: water and wastewater company of West Azarbaijan province),” AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), vol. 51, no. 4 , pp. 699–712, 2020, [Online]. Available: https://sid.ir/paper/165669/en

Related Journal Papers