Root cause analysis in quality problem solving of research information systems: a case study

Ershadi, Mohammad Javad; Aiasi, Roozbeh; Kazemi, Shirin

doi:10.1504/ijpqm.2018.10012949

Cited by 10 publications

(9 citation statements)

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“…The efficacy of scientific data collection and validation processes has always been debated. Traditional approaches are likely to result in poor quality scientific data being recorded [30]. As a result, the scientific results that are mostly based on these data are also of poor quality, and even if the data collection and validation steps are performed correctly, the processes performed are not always qualitatively documented in the scientific paper.…”

Section: Data Quality (Dq)mentioning

confidence: 99%

Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM

Azeroual

Ershadi

Azizi

et al. 2021

IJCAI

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Section: Data Quality (Dq)mentioning

confidence: 99%

Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM

Azeroual

Ershadi

Azizi

et al. 2021

IJCAI

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“…These findings indicated that safety environmental factors reversely affect the psychological risks of the working environment (Amiri et al , 2015). Ershadi et al (2018) presented several root-cause analysis tools for improving quality issues such as risk and safety. Bergh et al (2014) described the HSE development for psychological risks in the oil and gas industry.…”

Section: Review Of Literaturementioning

confidence: 99%

Developing a fuzzy goal programming model for health, safety and environment risks based on hybrid fuzzy FMEA-VIKOR method

Nabizadeh

Khalilzadeh

Ebrahimnejad

et al. 2021

JEDT

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Purpose The activities of the oil industry from discovery to distribution of oil products have adverse effects on human and environment. Thus, the companies that are active in this industry should identify and manage their risks. The purpose of this paper is to prioritize the identified risks based on different measures such as cost, occurrence, etc. Then, selecting the most important corrective actions using goal-programming approach is another objective of this study. Design/methodology/approach To identify the health, safety and environment (HSE) risks, the Fuzzy Delphi method was used. The failure mode and effects analysis (FMEA) and fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje (VIKOR) methods covering the deficits of FMEA were used to rank the HSE risks. Unlike similar researches, in the proposed FMEA–VIKOR method, the risk priority number was not calculated. In addition to severity, occurrence and detection, the parameters such as time, cost and quality, being considered for ranking the risks, were weighted by the Eigenvector method. Then, a fuzzy goal-programming model was developed for determining the best solutions of risk response. Findings The research findings indicated that the most important risks include fire and blast because of tank and pipeline, leakage of connections and pipelines and industrial waste. Also, the most important risk responses include using and strengthening the alarm and fire extinguishing systems, using fiberglass tanks to prevent pipeline corrosion, using modern technology to have more efficient oil refining. Originality/value The main contribution of this paper is using hybrid approach of FMEA–VIKOR for risk ranking by considering different measures such as time, cost and quality besides severity, occurrence and detection. Providing a fuzzy goal-programming framework for determining the main risk responses is another value for this research.

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“…The manner uses the 5Why method shown e.g. in (Ershadi, Kazemi, 2018). As a result, the cause or causes in the source of the problem are achieved.…”

Section: Selecting the Main Cause And Identifying The Cause At The Source Of The Problemmentioning

confidence: 99%

The Combination of Selected Management Instruments to Analyze Quality Problems

Siwiec¹,

Vandžura²

2021

MMR

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The aim of the article is to propose the combination of selected quality management instruments in a sequential and repetitive manner and to identify the incompatibilities and causes of its occurrence. This is a combination of techniques i.e.: brainstorming (BM), causes and effects diagram, multiply voting, and the 5Why method. The test of the proposed combination of the selected quality management instruments was made for the problem of the incompatibility of the product in an enterprise located in the Podkarpacie. This problem was the non-metallic inclusions on the bearing housing from CPW 407 steel. The proposed combination of the selected quality management instruments was integrated with the non-destructive testing (NDT). The originality of the study is to propose the combination of selected quality management instruments as a part of a single method, whose stages can occur in a sequential and repetitive manner.

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Root cause analysis in quality problem solving of research information systems: a case study

Cited by 10 publications

References 0 publications

Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM

Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM

Developing a fuzzy goal programming model for health, safety and environment risks based on hybrid fuzzy FMEA-VIKOR method

The Combination of Selected Management Instruments to Analyze Quality Problems

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