Human factors impact on risk analysis of complex systems

2000 ◽  
Vol 71 (1-3) ◽  
pp. 101-116 ◽  
Author(s):  
P.C Cacciabue
Author(s):  
Antonio Chialastri

In this chapter, the author presents a human factors problem for automation: why, when, and how automation has been introduced in the aviation domain; what problems arise from different ways of operating; and the possible countermeasures to limit faulty interaction between humans and machines. This chapter is divided into parts: definition of automation, its advantages in ensuring safety in complex systems such as aviation; reasons for the introduction of on-board automation, with a quick glance at the history of accidents in aviation and the related safety paradigms; ergonomics: displays, tools, human-machine interaction emphasizing the cognitive demands in high tempo and complex flight situations; illustration of the AF 447 case, a crash happened in 2009, which causes are linked to faulty human-machine interaction.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jackson Sekasi ◽  
Habeeb Solihu

Purpose Railway-level crossings (RLCs) are the point of intersection between rail and road users and are therefore hotpots of road-rail user conflict and catastrophic collisions. The purpose of this study is to assess the risks associated with RLCs and suggest probable reduction measures. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of Addis Ababa light rail transit (AA-LRT) north-south (N-S) route. The identified risky events are then categorized based on As Low As Reasonably Practicable (ALARP) principle and generic risk ranking matrix. The authors then examine existing safety management measures at railway crossing and assess the need for additional safety management. Five major crossings on the 16.9 km (10.5 mi) N-S line, starting from Menelik II Square to Kality, were considered for the study. This study is carried out by data collection from about 145 stakeholders and the application of statistical data and risk analysis methods. The major findings of this study and the recommendations for improvement are suggested. Design/methodology/approach The research followed a case study approach. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of AA-LRT N-S route. The identified risky events are then categorized based on ALARP principle and generic risk ranking matrix. Collected data was then analyzed using SPSS to deduce relationships. Findings The study findings reveal human factors as the greatest cause of accidents, injury or death. About 22% of hazards identified by category are human factors, whereas 20% are because of technical problems. Intolerable risks stand at 42%, whereas the tolerable risks are at 36% according to risk classification results as per the ALARP model. Because the process of risk management is a long-term cycle, its importance should not be missed at any time. Research limitations/implications Because of design considerations of RLCs and the difference in generalized human behaviors for people of a given region, the results are limited to AA-LRT RLCs. This study opens a discourse for detailed evaluations, qualitative and quantitative analysis into the categorized identified hazards. There is also room for additional research into the performance of RLCs aimed at formulating standard necessary features that should be included on RLCs for proper risk control especially in emerging economies. Originality/value The research paper is original and has not been submitted for consideration to other journals.


Author(s):  
J. Christopher Bouwmeester ◽  
Vicki Komisar ◽  
Arushri Swarup

Abstract – A simulation is used to facilitate cooperative and team-based learning to introduce concepts of human factors, risk analysis, and quality control applied to the design of medical devices. We further use a friendly game-based approach to simulate the dynamics between a customer, a regulatory agency, and competitive manufacturers. Students are divided into manufacturing teams/companies and teaching assistants act as the customer and regulator. To promote positive interdependence and individual accountability, each student within a company is assigned roles of CEO, inspector, marketer, and designer. The goal for each company is to design and produce as many eye patch medical devices as possible, which must be approved by the regulator, within a tight deadline. Products are evaluated by the customer, who decides what price to pay for each unit, at the end of production. The most successful company is determined by the greatest amount of money earned after two rounds of production and sales.


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