“Lean occupational” safety: An application for a Near-miss Management System design

Gnoni, Maria Grazia; Andriulo, Serena; Maggio, Gaspare; Nardone, Paul J.

doi:10.1016/j.ssci.2012.09.012

Cited by 83 publications

(64 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The targeted risks are indicated in the specific national laws and standards (Rasmussen, 1997). With the introduction of WCM (World Class Manufacturing) management systems there has been a push toward the participative approach, with the direct involvement of field operators in the risk assessment and control procedures (Gnoni et al, 2013). The influence of human factors in safety issues, at different levels of different types of organizations, included vehicle manufacturing (Hale et al, 2010), has been more increasingly considered.…”

Section: Introductionmentioning

confidence: 99%

Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

et al. 2019

View full text Add to dashboard Cite

a b s t r a c tThe Automotive industry has been developed into a complex and highly automated sector. This level of automation and complexity has led to the establishment of a work environment, where human machine interface and human reliability are now critical factors of performance especially for safety critical tasks. Many different methodologies for performing risk assessment considering human factors are already available in the literature, but they were often developed for other domains (aviation, nuclear and process industry). Their purpose is to support the root cause evaluation and estimate the probability of faulty human actions. The present paper introduces a method to support the evaluation and the choice of a suitable Human Reliability Analysis (HRA) technique for the automotive sector considering the ones proposed from other industrial domains. The Analytic Hierarchy Process (AHP) provides a way of assisting safety managers and risk assessors in the HRA technique selection process. This allows the selected HRA techniques to be evaluated based on relevant criteria for an application in an automotive manufacturing environment. An example of selected HRA techniques in this paper will be demonstrated in a case study. The example can also suggest implications to improve existing industry guidelines, international standards and regulations, which are frequently calling for a wide range of ergonomic factors to be considered in the risk assessment process. Further the case study should show potential benefits to organizations coming from the selection and application of the right HRA technique.

show abstract

Section: Introductionmentioning

confidence: 99%

Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Initially limited to the nuclear (Phimister et al, 2004) and aviation industries (NASA, 2006), research on the design of effective NMSs has received much attention in a wide range of industries over the last couple of years (Wu et al, 2010;Gnoni et al, 2013;Andriulo & Gnoni, 2014;Goode et al, 2014), especially in the healthcare industry for improved patient safety (Barach & Small, 2000;Callum et al, 2001;Aspden et al, 2004;Fried, 2009). Most NMSs in use today are proprietary systems designed specifically for the organisation that uses them.…”

Section: Types Of Nmssmentioning

confidence: 99%

A near-miss management system architecture for the forensic investigation of software failures

Bella

Eloff

2016

Forensic Science International

View full text Add to dashboard Cite

Abstract-Digital forensics has been proposed as a methodology for doing root-cause analysis of major software failures for quite a while. Despite this, similar software failures still occur repeatedly. A reason for this is the difficulty of obtaining detailed evidence of software failures. Acquiring such evidence can be challenging, as the relevant data may be lost or corrupt following a software system's crash. This paper proposes the use of near-miss analysis to improve on the collection of evidence for software failures. Near-miss analysis is an incident investigation technique that detects and subsequently analyses indicators of failures. The results of a near-miss analysis investigation are then used to detect an upcoming failure before the failure unfolds. The detection of these indicators -known as near misses -therefore provides an opportunity to proactively collect relevant data that can be used as digital evidence, pertaining to software failures. A Near Miss Management System (NMS) architecture for the forensic investigation of software failures is proposed. The viability of the proposed architecture is demonstrated through a prototype.

show abstract

“…The GB railways maintain the Close Call database to describe hazardous situations where an event sequence could lead to an accident if it had not been detected, interrupted by a planned intervention or by random event (Gnoni, Andriulo et al 2013, Andriulo andGnoni 2014). Workers within the GB railway industry are able to voluntarily report such events on the railway by submitting data to the Close Call database.…”

Section: Close Callsmentioning

confidence: 99%

“…There are different definitions amongst researchers about close calls, near-misses and/or weak signals (Dillon and Tinsley 2008). This work uses a definition by Gnomi and Anndriulo which fits the railway industry: a close call is a hazardous situation where the event sequence could have led to an accident if it had not been detected, interrupted by a planned intervention or by random event (Gnoni, Andriulo et al 2013, Andriulo andGnoni 2014). …”

Section: Close Callsmentioning

confidence: 99%

See 1 more Smart Citation

Learning from text-based close call data

Hughes¹,

Figueres-Esteban²,

Gulijk³

2015

Safety and Reliability of Complex Engineered Systems

View full text Add to dashboard Cite

Abstract:Moving away from standard approaches of safety risk analysis to new approaches that incorporate big data analytics brings with it many opportunities to include new sources of data. These data sources could be the numeric data sources that are used for traditional safety analyses, but could also include text-based sources, such as accident reports, or even social media data feeds. This paper describes an automatic text mining approach to obtain information from close call events (accident "near misses") that can be used for safety management decision-making. The results from this work have shown how automated text mining can be used to extract information from big data sources and be used to inform safety decision-making. Further research in this area intends to look at how the techniques that have been proven to date can be improved with the use of machine-learning techniques.

show abstract

“Lean occupational” safety: An application for a Near-miss Management System design

Cited by 83 publications

References 39 publications

Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

A near-miss management system architecture for the forensic investigation of software failures

Learning from text-based close call data

Contact Info

Product

Resources

About