The application of system dynamics modelling to system safety improvement: Present use and future potential

Shire, Mohammed Ibrahim; Jun, Gyuchan Thomas; Robinson, Stewart

doi:10.1016/j.ssci.2018.03.010

Cited by 51 publications

(9 citation statements)

References 77 publications

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“…Various studies have demonstrated the capability and fitness of SD in improving the understanding of complex safety systems. Thus, it has been widely used in the safety research to understand the contributing factors of accidents (Ibrahim Shire et al. , 2018; Shin et al.…”

Section: Methodsmentioning

confidence: 99%

Exploring construction workers' attitudinal ambivalence: a system dynamics approach

Zhang

Xia

et al. 2021

ECAM

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PurposeThis study aimed to identify driving factors of safety attitudinal ambivalence (AA) and explore their influence. Construction workers' intention to act safely can be instable under conflicting information from safety management, co-workers and habitual unsafe behaviour. Existing research explained the mechanism of unsafe behaviours as individual decisions but failed to include AA, as the co-existence of both positive and negative attitude.Design/methodology/approachThis study applied system dynamics to explore factors of construction workers' AA and simulate the process of mitigating the ambivalence for less safety behaviour. Specifically, the group model building approach with eight experts was used to map the causal loop diagram and field questionnaire of 209 construction workers were used to collect empirical data for initiating parameters.FindingsThe group model building identified five direct factors of AA, namely the organisational safety support, important others' safety attitude, emotional arousal, safety production experience and work pressure, with seven feedback paths. The questionnaire survey obtained the initial values of the factors in the SD model, with the average ambivalence at 0.389. The ambivalence between cognitive and affective safety attitude was the highest. Model simulation results indicated that safety experience and work pressure had the most significant effects, and safety experience and positive attitude of co-workers could compensate the pressure from tight schedule and budget.Originality/valueThis study provided a new perspective of the dynamic safety attitude under the co-existence of positive and negative attitude, identified its driving factors and their influencing paths. The group model building approach and field questionnaire surveys were used to provide convincible suggestions for empirical safety management with least and most effective approaches and possible interventions to prevent unsafe behaviour with tight schedule and budget.

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Section: Methodsmentioning

confidence: 99%

Exploring construction workers' attitudinal ambivalence: a system dynamics approach

Zhang

Xia

et al. 2021

ECAM

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“…From several possible configurations, at least the combination of EAST and STAMP has been described (Salmon et al, 2018), as well as a combination of network metrics and FRAM (Falegnami et al, 2020). We would also like to point to the fact that we only applied a selection of methods for this study, but ideally future research would draw a full comparison of strengths and weaknesses of several other available systemic methods, such as CWA (Naikar, 2017), system dynamics (Ibrahim Shire et al, 2018), or Net‐HARMS (Hulme et al, 2021; 2021) to just name a few. During the writing of this manuscript, one publication in particular deserves attention, because it compares the reliability and validity of, STPA and the EAST broken‐links approach (Hulme et al, 2021), with the recommendation to further test extensions to enhance the reliability and validity of these methods in the future.…”

Section: Discussionmentioning

confidence: 99%

Teaming with industrial cobots: A socio‐technical perspective on safety analysis

Adriaensen

Costantino

Gravio

et al. 2021

Hum Ftrs & Erg Mfg Svc

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Collaborative human–machine interaction will be progressively intensified in industrial applications. The aim of this article is to examine current approaches to cobot safety by showing that these approaches can additionally benefit from systems thinking methods. The first part of this article covers a narrative literature review on predominantly techno‐centric robot safety approaches, with a strong focus on containing kinetic energy and ensuring separation with humans. The second part introduces systems thinking methods to analyze a socio‐technical perspective on cobot safety, including joint cognitive systems and distributed cognition perspectives. This explorative research dimension is expected to overcome an overly narrow interpretation of safety issues, anticipating the challenges ahead in ever more complex cobot applications. This article embraces a socio‐technical perspective to explore the potential of Joint Cognitive Systems to manage risk and safety in cobot applications. Three systemic safety analysis approaches are presented and tested with a demonstrator case study concerning their feasibility for cobot applications: System‐Theoretic Accident Model and Processes (STAMP); Functional Resonance Analysis Method (FRAM); and Event Analysis of Systemic Teamwork (EAST). These methods each provide interesting extensions to complement the traditional understanding of risk as required by current and future industrial cobot implementations. The power of systemic methods for safer and more efficient cobot operations lies in revealing the distributed and emergent result from joint actions and overcoming the reductionist view from individual failures or single agent responsibilities. The safe operation of cobot applications can only be achieved through alignment of design, training, and operation of such applications.

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“…Much has been written regarding the value of techniques such as ABMS in studying processes over time or comparing competing models or sets of rules and parameters (e.g., Hughes et al 2012, Ibrahim Shire, Jun, and Robinson 2018, Smaldino, Calanchini, and Pickett 2015. These enable the study of dynamic processes, non-linear relationships, and phenomena at different levels of abstraction (e.g., Hughes et al 2012.…”

Section: Improving Model Building In Ergonomics Theorisationmentioning

confidence: 99%

Ergonomists as designers: computational modelling and simulation of complex socio-technical systems

et al. 2019

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Contemporary ergonomics problems are increasing in scale, ambition, and complexity. Understanding and creating solutions for these multi-faceted, dynamic, and systemic problems challenges traditional methods. Computational modelling approaches can help address this methodological shortfall. We illustrate this potential by describing applications of computational modelling to: (1) teamworking within a multi-team engineering environment; (2) crowd behaviour in different transport terminals; and (3) performance of engineering supply chains.Our examples highlight benefits and challenges for multi-disciplinary approaches to computational modelling, demonstrating the need for socio-technical design principles. Our experience highlights opportunities for ergonomists as designers and users of computational models, and the instrumental role that ergonomics can play in developing and enhancing complex socio-technical systems. Recognising the challenges inherent in designing computational models, we reflect on practical issues and lessons learned, so that computational modelling and simulation can become a standard and valuable technique in the ergonomists' toolkit.

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The application of system dynamics modelling to system safety improvement: Present use and future potential

Cited by 51 publications

References 77 publications

Exploring construction workers' attitudinal ambivalence: a system dynamics approach

Exploring construction workers' attitudinal ambivalence: a system dynamics approach

Teaming with industrial cobots: A socio‐technical perspective on safety analysis

Ergonomists as designers: computational modelling and simulation of complex socio-technical systems

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