root cause analysis in mining
Root Cause Analysis in Process Mining Using Structural ...
2022-1-8 · Keywords: Process mining Root cause analysis Causality inference. 1 Introduction One of the main purposes of using process mining is to enhance process performance indicators leading to reduced costs and response times and better quality. To enhance the performance of a process, we first need to identify friction points in the process.
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Root Cause Analysis in Process Mining Using Structural ...
2021-1-19 · Process mining is a multi-purpose tool enabling organizations to monitor and improve their processes. Process mining assists organizations to enhance their performance indicators by helping them to find and amend the root causes of performance or compliance problems. This task usually involves gathering process data from the event log and then ...
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Root Cause Analysis – The Process Mining Glossary | Lana
Root Cause Analysis. The root cause analysis aims at finding process errors and their causes. In addition, the identified root cause structure is analyzed. These analyses make it possible to determine the proportion of errors found that have the same cause, for example. Process problems can be caused by impact factors such as bottlenecks.
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Data mining root cause analysis findings | IEEE Conference ...
Data mining root cause analysis findings Abstract: Clients often associate Root Cause Analysis (RCA) with troubleshooting equipment failures. But it encompasses more than simple troubleshooting or identifying component failure causal factors. RCA investigators systematically drill deep into an organization's standards, policies and ...
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Iterative Root Cause Analysis Using Data Mining in ...
exploited to conduct root cause analysis. It took the form of action research and is conducted in industry at an organisation unit responsible for the research and development of mobile base station equipment. In this thesis, we survey existing literature on how data mining has been used to address root cause analysis.
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AI-Powered Root-Cause Analysis - Minit Process Mining
2022-1-31 · Solution. To get the answers, run the AI-Powered Root-Cause Analysis, which is based on intelligently selected Machine Learning algorithms. With the Root Cause Analysis, you will be able to compute the combination of the influencing attributes and the root causes of faults and problems your process experiences.
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APPLYING DATA MINING FOR ROOT-CAUSE ANALYSIS
2021-12-21 · The system architecture for root-cause analysis of machine faults is presented in figure 4 [11]. The data from diffusion tower senzors and his acting mechanism sensors was stored in Microsoft SQL Server 2000 by the automation software. Fig. 3. System for Root Cause Analysis, Decision Support on efficient sequence
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Mining Software Logs for Goal-Driven Root Cause Analysis ...
2015-1-1 · As illustrated in Figure 18.1, the root cause analysis framework consists of three phases: modeling, observation generation, and diagnostics.The first phase is an off-line preparatory phase. In this phase, system administrators generate a set of models to represent the requirements of the monitored applications.
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ROOT CAUSES OF GROUNDFALL RELATED INCIDENTS
2012-8-29 · Mine Safety and Health Administration (MSHA) database (1984-1999), for a taxonomic analysis. The study found that 67.6% of groundfall incidents occurred in supported areas with the remainder (32.4%) in unsupported areas. Some form of rock mass failure appears to cause about 50% of groundfall incidents, although in 39.7% of the overall groundfall
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Root Cause Analysis (RCA): Steps, Tools, And Examples
2021-4-14 · What is root cause analysis? By definition, root cause analysis is the process of finding the underlying cause for an effect we observe or experience. In the context of failure analysis, RCA is used to find the root cause of frequent machine malfunctions or a significant machine breakdown.
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Iterative Root Cause Analysis Using Data Mining in ...
exploited to conduct root cause analysis. It took the form of action research and is conducted in industry at an organisation unit responsible for the research and development of mobile base station equipment. In this thesis, we survey existing literature on how data mining has been used to address root cause analysis.
Read More
Data mining root cause analysis findings | IEEE Conference ...
Data mining root cause analysis findings Abstract: Clients often associate Root Cause Analysis (RCA) with troubleshooting equipment failures. But it encompasses more than simple troubleshooting or identifying component failure causal factors. RCA investigators systematically drill deep into an organization's standards, policies and ...
Read More
AI-Powered Root-Cause Analysis - Minit Process Mining
2022-1-31 · Solution. To get the answers, run the AI-Powered Root-Cause Analysis, which is based on intelligently selected Machine Learning algorithms. With the Root Cause Analysis, you will be able to compute the combination of the influencing attributes and the root causes of faults and problems your process experiences.
Read More
Root-Cause Analysis Report - workplacesafetynorth.ca
2021-7-8 · Root-Cause Analysis: Risk Statement Based on the results of the Mining Review, the following risk statement was selected by the subject matter expert participants for Root-Cause Analysis using the “Fishbone” approach. It was decided that the risk statement would cover both Underground as well as Surface Mining
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APPLYING DATA MINING FOR ROOT-CAUSE ANALYSIS
2021-12-21 · The system architecture for root-cause analysis of machine faults is presented in figure 4 [11]. The data from diffusion tower senzors and his acting mechanism sensors was stored in Microsoft SQL Server 2000 by the automation software. Fig. 3. System for Root Cause Analysis, Decision Support on efficient sequence
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Ministry of Labour Risk Assessment Initiatives
2021-7-8 · - A Mining Sector risk assessment carried out as part of the Mining Health, Safety and Prevention Review (i.e. the M.H.S.P.R.) that was led by the M.O.L. throughout 2014 and 2015. - A surface mining risk assessment in 2016. - A series of root-cause analysis sessions to allow for a better understanding of the causal factors and
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Risk Assessment and Management for Mines and Mining
2017-11-2 · Many types of root-cause analyses are available. Examples of common root-cause analysis methods utilized in the Ontario mining sector are the: Bow-tie analysis; Failure Mode and Effects analysis; Fault Tree analysis; Fish Bone (i.e. the Ishikawa) analysis; Pareto analysis. Once the necessary controls for a mine or mining plant have been ...
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ROOT CAUSES OF GROUNDFALL RELATED INCIDENTS
2012-8-29 · Mine Safety and Health Administration (MSHA) database (1984-1999), for a taxonomic analysis. The study found that 67.6% of groundfall incidents occurred in supported areas with the remainder (32.4%) in unsupported areas. Some form of rock mass failure appears to cause about 50% of groundfall incidents, although in 39.7% of the overall groundfall
Read More
Root Cause Analysis (RCA): Steps, Tools, And Examples
2021-4-14 · What is root cause analysis? By definition, root cause analysis is the process of finding the underlying cause for an effect we observe or experience. In the context of failure analysis, RCA is used to find the root cause of frequent machine malfunctions or a significant machine breakdown.
Read More
Guide to Performing a Root Cause Analysis (Revision 10
2020-11-23 · The most commonly used comprehensive systematic analysis is the Root Cause Analysis (RCA). The RCA is a process for identifying the basic causal factor(s) underlying system failures and is a widely understood methodology used in many industries. Root cause analysis can be used to uncover factors that lead to patient
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Root-Cause Analysis Report - workplacesafetynorth.ca
2021-7-8 · Root-Cause Analysis: Risk Statement Based on the results of the Mining Review, the following risk statement was selected by the subject matter expert participants for Root-Cause Analysis using the “Fishbone” approach “ A rockburst occurs in an underground mine at a location where workers are normally present”
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(DOC) ROOT CAUSE ANALYSIS & REMEDIES OF MINING
ROOT CAUSE ANALYSIS & REMEDIES OF MINING CABLE FAILURE. Author: SUBRATA DAS. How Mining Cables Fail ROOT CAUSE ANALYSIS & ACTION TO BE TAKEN Cable breakdowns are neither mysterious nor unaccountable, and almost without exception can be traced to one or more of the following causes: 1. Excessive tension BREAKING LOAD OF A 5CX35 SQMM FT
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APPLYING DATA MINING FOR ROOT-CAUSE ANALYSIS
2021-12-21 · The system architecture for root-cause analysis of machine faults is presented in figure 4 [11]. The data from diffusion tower senzors and his acting mechanism sensors was stored in Microsoft SQL Server 2000 by the automation software. Fig. 3. System for Root Cause Analysis, Decision Support on efficient sequence
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1 Temporal data mining for root-cause analysis of
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines Srivatsan Laxman, Basel Shadid, P. S. Sastry and K. P. Unnikrishnan Abstract Engine assembly is a complex and heavily automated distributed-control process, with large amounts of faults data logged everyday.
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A Root Cause Analysis Using Text Mining for Patient No ...
2021-6-11 · However, few studies used text mining to conduct a root cause analysis (RCA) and a Pareto analysis related to patient no-shows at outpatient primary care settings serving rural areas. This study uses a text-mining framework to investigate and analyze the factors and causes behind patient no-shows at Finger Lakes Community Health (FLCH), an ...
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Mining Behavioural Patterns from Event Data to Enable ...
2020-10-17 · Therefore, the root cause is always negative and usually defined in terms of specific or systematic factors. Root cause analysis can be used to identify the most apparent improvement opportunities by tagging current obstacles to efficient operations or activities [25]. REFERENCES [1]W. M. P. van der Aalst, Process Mining: Data Science in ...
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ROOT CAUSES OF GROUNDFALL RELATED INCIDENTS
2012-8-29 · Mine Safety and Health Administration (MSHA) database (1984-1999), for a taxonomic analysis. The study found that 67.6% of groundfall incidents occurred in supported areas with the remainder (32.4%) in unsupported areas. Some form of rock mass failure appears to cause about 50% of groundfall incidents, although in 39.7% of the overall groundfall
Read More
PM4Py - Process Mining for Python
Root Cause Analysis. The output of root cause analysis in the diagnostics context is a decision tree that permits to understand the causes of a deviation. In the following examples, for each deviation, a different decision tree is built and visualized.
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Root Cause Analysis (RCA): Steps, Tools, And Examples
2021-4-14 · What is root cause analysis? By definition, root cause analysis is the process of finding the underlying cause for an effect we observe or experience. In the context of failure analysis, RCA is used to find the root cause of frequent machine malfunctions or a significant machine breakdown.
Read More