When Robots Kill

2019 ◽  
Vol 10 (3) ◽  
pp. 46-59
Author(s):  
Riya Vinayak ◽  
Radha R Sharma
Keyword(s):  
Automotive Industry ◽  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Technique ◽  
The Future ◽  
Research Gap

Robots are increasingly interacting with people at the workplace as users or bystanders, hence, they ought to be reliable and safe. The rationale behind the study is to understand the causes of the rising workplace robot accidents by analysing a particular case for greater understanding. The article provides diverse perspectives on the probable causes and consequences of robot-related accidents and offers suggestions to mitigate these. It involves the application of the root cause analysis technique to identify the reasons behind the robot-related accident that resulted in the death of a worker and suggests remedies to do away with any such recurrence in the future. The study endeavours to bridge the research gap pertaining to robot-related accidents in the automotive industry.

scholarly journals Root cause analysis – what do we know?

2021 ◽  
Vol 95 (1/2) ◽  
pp. 87-93 ◽  
Author(s):  
Wendy Groot
Keyword(s):  
Adverse Events ◽  
Audit Quality ◽  
Opportunity To Learn ◽  
Root Cause Analysis ◽  
Policy Makers ◽  
Cause Analysis ◽  
Root Cause ◽  
Audit Firms ◽  
The Future ◽  
Blame Culture

Root cause analysis (RCA) provides audit firms, regulators, policy makers and practitioners the opportunity to learn from past adverse events and prevent them from reoccurring in the future, leading to better audit quality. Recently approved regulations (ISQM1) make RCA mandatory for certain adverse events, making it essential to learn how to properly conduct an RCA. Building on the findings and recommendations from the RCA literature from other industries where RCA practice is more established such as the aviation and healthcare industries, audit firms can implement an adequate and effective RCA process. Based on the RCA literature, I argue that audit firms would benefit from a systems-based approach and establishing a no-blame culture.

scholarly journals Risk Analysis in the Automotive Industry

2020 ◽  
Author(s):  
Annamária Koncz ◽  
László Pokorádi ◽  
Zsolt Csaba Johanyák
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Automotive Industry ◽  
Root Cause Analysis ◽  
Automotive Sector ◽  
Analysis Method ◽  
Effect Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Safety And Reliability

The automotive industry is one of the most dynamically growing fields of the manufacturingarea. Besides this, it has very strict rules concerning safety and reliability. In our work, our aim is to point out the importance of the automotive industry (based on statistics) and the rules in connection with risk and root cause analysis. The most important risk analysis method is the Failure Mode and Effect Analysis (FMEA). According to standards and OEM regulations, FMEA is obligatory in the automotive sector. In our study, we summarise the area of FMEA usage, its types and process steps.

Challenges of System Level Failure Analysis of Electronics in the Automotive Industry

2017 ◽  
Author(s):  
Bence Hevesi
Keyword(s):  
Failure Analysis ◽  
Case Studies ◽  
Automotive Industry ◽  
Root Cause Analysis ◽  
Fault Isolation ◽  
System Level ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Workflow

Abstract In this paper, different failure analysis (FA) workflows are showed which combines different FA approaches for fast and efficient fault isolation and root cause analysis in system level products. Two case studies will be presented to show the importance of a well-adjusted failure analysis workflow.

A proposed hybrid root cause analysis technique for quality management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dharyll Prince Abellana
Keyword(s):  
Quality Management ◽  
Structural Model ◽  
Group Discussion ◽  
Root Cause Analysis ◽  
Cause Analysis ◽  
Content Type ◽  
Root Cause ◽  
Analysis Technique ◽  
Proposed Model ◽  
Cause And Effect Diagram

PurposeThis paper attempts to develop a hybrid cause and effect diagram (CED) and interpretative structural model (ISM) for root cause analysis in quality management. The proposed model overcomes the weakness of the CED in reliably articulating hierarchical cause–effect Relationships.Design/methodology/approachA focus group discussion (FGD) among quality experts in the case company to establish relationships between the determined causes.FindingsThe hybridization of the CED and ISM allowed the causes to be ordered more clearly to determine potential root causes as well as presenting these causes more comprehensively.Originality/valueThe paper has been one of the very few attempts to improve the CED approach. As such, this paper employs the ability of the ISM to order concepts in a hierarchical structure, which is useful in determining root causes.

Learning From Root Cause Analysis (RCA) Actions That Use Standardization to Address Patient Safety Concerns

2021 ◽  
Vol 10 (1) ◽  
pp. 281-285
Author(s):  
Helen J.A. Fuller ◽  
Tim Arnold ◽  
Tandi M. Bagian
Keyword(s):  
Patient Safety ◽  
Decision Support ◽  
Root Cause Analysis ◽  
Cause Analysis ◽  
Safety Concerns ◽  
Root Cause ◽  
The Future

Standardization has obvious benefits, but standardization also has clear risks. This paper grew out of an ongoing discussion of how we are standardizing in healthcare today, with a goal of looking to the future for possible improvements. We continue this dialog by describing Root Cause Analysis (RCA) actions involving standardization with hopes of promoting inquiry into the nuances of standardization in different contexts. Studies are needed to understand the benefits and risks of standardization, locally and nationally, as well as the different interpretations of the term “standardization.” These in turn can inform the development of decision support and systems or guidance for facilitating responsible and safe standardization in healthcare. Approaching standardization thoughtfully, not as a blanket solution, but instead as a potential instrument that must be studied, tailored, and cautiously applied could be the next standard we seek.

scholarly journals An Empirical Study of Root-Cause Analysis in Automotive Supplier Organisation

2019 ◽  
Vol 23 (2) ◽  
pp. 34 ◽  
Author(s):  
Anna Nagyová ◽  
Hana Pačaiová ◽  
Anna Gobanová ◽  
Renáta Turisová
Keyword(s):  
Preventive Measures ◽  
Root Cause Analysis ◽  
Extended Version ◽  
Practical Application ◽  
Cause Analysis ◽  
Automotive Supplier ◽  
Continual Improvement ◽  
Root Cause ◽  
The Future ◽  
Automotive Production

<p><strong>Purpose: </strong>The paper aims to introduce the practical application of using Root-cause analysis (RCA) by chosen methods of continual improvement in solving non-conformity occurrence in an organisation operating in the automotive field.</p><p><strong>Methodology/Approach: </strong>The chosen tools of (RCA), which includes an extended version of 5W2H and 5Whys were applied. Both tools were systematically applied step by step in case of claim solving, which occurred in automotive production.</p><p><strong>Findings: </strong>Non-conformity, which occurred in this case, was analysed through RCA and helped not only to identify the problem but also solve it and find adequate preventive measures to avoid occurrence non-conformity in the future.</p><p><strong>Research Limitation/implication: </strong>Practical application of chosen tools shows how problems and non-conformities should be solved using systematic steps of a different tool. In some cases, if it is needed, other methods and tools can be added, as well as metrology verifications.</p><strong>Originality/Value of paper: </strong>The innovative element of these tools application is the introduction of the extended version of the 5W2H method from the customer’s perspective as well as from the organisation perspective. It is also clear that to solve customer’s claim, it is necessary to use a combination of more tools to make sure that that kind problem is not going to occur in the future.

scholarly journals Monitoring Process Variability and Root Cause Analysis in Paper Box Production

2018 ◽  
Vol 7 (4.30) ◽  
pp. 492
Author(s):  
Rohayu Mohd Salleh ◽  
Ng Jin Chuan ◽  
Sabariah Saharan
Keyword(s):  
Root Cause Analysis ◽  
Manufacturing Companies ◽  
Process Variability ◽  
Cause Analysis ◽  
Root Cause ◽  
Computation Efficiency ◽  
Analysis Technique ◽  
Monitoring Procedure ◽  
Multiple Characteristics ◽  
T2 Control Chart

In this paper, monitoring procedure for process variability in multivariate setting based on individual observations which is a combination of (i) Hotelling’s T2 control chart in detecting out of control signal and (ii) implementation of Mason, Young and Tracy (MYT) decomposition and structure analysis technique for root cause analysis is introduced. The advantages of this procedure will be shown by using the case of a paper box production process in one of the Malaysian manufacturing companies. The successful application of this multivariate approach could act as a stimulant for most industries to imitate in process monitoring. Moreover, the computation efficiency in root cause analysis enables quality’s multiple characteristics to be monitored simultaneously. Based on the findings, the core issue that needs to be a matter of concern by the management team is the closure tap of the box. This process variation should be solved immediately to avoid the products’ quality from further deteriorating.

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