Incorporating individual differences in human reliability analysis: An extension to the virtual experimental technique

Musharraf, Mashrura; Smith, Jennifer; Khan, Faisal; Veitch, Brian; MacKinnon, Scott

doi:10.1016/j.ssci.2017.07.010

Cited by 24 publications

(15 citation statements)

References 18 publications

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“…Step 4: Input the results of Formula (5) into Formulas (6) to (26) to solve the optimization model of major equipment person configuration and obtain the person-job assignment scheme. Through the above analysis, the person-job safety matching process for major equipment according to the human factor perspective is shown in Figure 3.…”

Section: Proposed Analytical Proceduresmentioning

confidence: 99%

“…Due to the limited space, only the characteristic weight values of the first nine jobs are listed here. The results are shown in Table 9: Similarly, the comprehensive value of job complexity is calculated by Formulas (4) and (5). The comprehensive evaluation value of 49 jobs is shown in Table 10:…”

Section: ) Computation Of the Comprehensive Evaluation Value Of Persmentioning

confidence: 99%

“…Fortunately, Eastwick et al (2019) propose the research of best practices for testing the predictive validity of matching partner preference [4]. Musharrafa et al (2018) introduced the concept of individual differentiation in human factor analysis and identified the vulnerable features of the analyzed objects based on the Bayesian network (BN) model [5]. However, the BN model cannot identify weaknesses.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Zhang

et al. 2019

Applied Sciences

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Under the background of intelligent manufacturing, this paper aims to develop a model for person–job safe matching that optimizes safety with consideration of major equipment operator competency and task complexity. Safe matching cost is minimized in the developed model and is measured by the equipment downtime, production defect rate, and operator labor costs oriented by human factors. Human reliability is calculated with the goal of best value individual competency and best admit task complexity with a hierarchical structure. The 0-1 integer programming person–job matching model minimizes the human factor safety and wage costs and satisfies the requirements of the production order, budget and operator quantity requirement. An improved genetic algorithm is designed to solve the model. The computational results of the proposed model based on a case study for a large iron and steel company evidently demonstrated its effectiveness. A new integrated model provides more realistic matches for person–job assignment.

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Section: Proposed Analytical Proceduresmentioning

confidence: 99%

Section: ) Computation Of the Comprehensive Evaluation Value Of Persmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Zhang

et al. 2019

Applied Sciences

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“…Other analyses on the operational experience data were emphasized on the challenge due to components reliability and ageing phenomena [16,17]. In many aspects, human factors tend to be specific and influenced by local population characteristics [18,19]. Therefore, an analysis and research based on operation experience data of local existing reactors is essential.…”

Section: Introduction *mentioning

confidence: 99%

Reactor Operational Experience Review and Analysis Based on Un-Intended Reactor Trip Data

et al. 2019

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To enhance the safety and reliability of a new reactor, human factors should be integrated into its design process. The experimental power reactor (RDE) currently being developed in Indonesia needs to include human factors in the design process. One approach to incorporate human factors into design is by considering reactor operational experience data. This paper reviews and analyses the operational experience data of RSG-GAS reactor. The operational experience data of RSG-GAS reactor with 40,435 hours of total operation time spanning from 2003 to 2013 was used as a base in the study. In depth analysis on human factors was applied to the primary cooling system using Human Factors Analysis and Classification System-HFACS method. An amount of 289 un-intended trips were found in the observation data period. Most of un-intended trip were caused by external factors (38%). A review on the primary and secondary cooling system operational data showed that 3.11% of un-intended reactor trip occurrence causes were associated with human failure. Most suspected human failure/human error corresponds to the pump maintenance task which is classified as A action category. Analysis on the cooling system based on HFACS showed that the challenges to the human factors are related to unsafe acts, preconditions of unsafe acts, and unsafe supervision. The result reaffirm that human factors should be treated appropriately in the design of reactor equipment and operation procedure as well.Keywords: reactor operation experience, research reactor, human factors, reactor trip

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“…The authors assert that hazards (like fires, smoke), weather condition, malfunctioning equipment, and inadequate emergency preparedness such as that related with the recognition of platform alarms are important factors that affect the human response. Musharraf et al [38] propose a methodology to account for individual differences in agent modeling for emergency response training. The problem of modeling SA for such agents is still another important area that has potential implications in the way agents make decisions in evolving emergencies.…”

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confidence: 99%

Situation awareness modeling for emergency management on offshore platforms

Danial

Smith

Khan

et al. 2019

Hum. Cent. Comput. Inf. Sci.

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IntroductionThe present work proposes a model based on Markov Logic Network (MLN) [16] for representing emergency situations involving smoke and fire on offshore petroleum platforms. The model is tested for two important situations, FIRE and EVACUATE. In the FIRE situation, fire is observed due to smoke at some place on the platform, and all workers need to muster to their primary muster station. In the EVACUATE situation, the fire is escalated so that some escape routes to the primary muster station are blocked and all personnel needs to muster at the lifeboat or alternative muster station. The purpose of this work is to have a model that can be used by a software agent so that the agent can exhibit human-like situation awareness (SA). Such agents can subsequently be used, for example, in training simulators to enrich trainees' experience by showing them various scenarios in which the agent shows recognition of different situations (to makes various decisions). A participant can learn from the agent what information is important in a given scenario for correct SA.Representing the emergency response of agents operating in a virtual environment (VE) is a challenging and active research area. Emergencies on board can arise from Abstract Situation awareness is the first and most important step in emergency management. It is a dynamic step involving evolving conditions and environments. It is an area of active research. This study presents a Markov Logic Network to model SA focusing on fire accidents and emergency evacuation. The model has been trained using empirical data obtained from case studies. The case studies involved human participants who were trained for responding to emergencies involving fire and smoke using a virtual environment. The simulated (queried) and empirical findings are reasonably consistent. The proposed model enables implementing an agent that exploits environmental cues and cognitive states to determine the type of emergency currently being faced. Considering each emergency type as a situation, the model can be used to develop a repertoire of situations for agents so that the repertoire can act as an agent's experience for later decision-making. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Incorporating individual differences in human reliability analysis: An extension to the virtual experimental technique

Cited by 24 publications

References 18 publications

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Reactor Operational Experience Review and Analysis Based on Un-Intended Reactor Trip Data

Situation awareness modeling for emergency management on offshore platforms

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