Contribution of a systemic modeling approach applied to support risk analysis of a storage unit of chemical products in Morocco

Bouloiz, Hafida; Garbolino, Emmanuel; Tkiouat, Mohamed

doi:10.1016/j.jlp.2009.12.001

Cited by 7 publications

(8 citation statements)

References 18 publications

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“…Nowadays, many organizations promote implementation of a safety management system in different fields, however, this introduces complex problems difficult to solve or even to define [18]. In this context, SD may be used; for example, to illustrate relationships between safety and workers in enterprises or to analyses prevention of accidents through construction of a simulation model covering main factors that affect performances of OHS itself [19]. In fact, in opposition with paradigm of linear cause-effect relationship, System Dynamics emphasizes importance of feedback loops in a model closer to reality to be simulated.…”

Section: B Relevant Literaturementioning

confidence: 99%

A Risk Assessment Proposal through System Dynamics

Nardo¹,

Madonna²,

Gallo³

et al. 2020

Journal of Southwest Jiaotong University

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The issues about legislation of safety management, as well as main techniques of "risk analysis and evaluation", are widely integrated in complex production environment. From an organizational and technological point of view, it’s not easy to implement these techniques in Small and Medium Enterprises. In fact, each technique does not permit a complete and exhaustive analysis and quantification of risks. Application of aforementioned methods does allow for achievement of a wide number of benefits. The aim of this paper is to critically analyse both analysis and risk assessment processes. In this paper, integration between System Dynamics and Layers of Protection Analysis technique is provided in order to enhance results of risk management. System Dynamics shows to be very effective in evaluating interaction effect of different incidental scenarios properly identified through risk analysis technique used. System Dynamics modelling permits simulation through changes in time and feedback mechanism. This approach has been validated via testing in a plastic molding plant with a scenario of risk of a massive fire.

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Section: B Relevant Literaturementioning

confidence: 99%

A Risk Assessment Proposal through System Dynamics

Nardo¹,

Madonna²,

Gallo³

et al. 2020

Journal of Southwest Jiaotong University

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“…We propose that risk control is founded on the control of, and interactions between, each component of the industrial system. Control of each component and each interaction means that the component in question must be in a safe state (Bouloiz et al, 2010). Interviews and observations were conducted in order to define the level of safety measures at the storage unit in order to draw up an initial causal diagram.…”

Section: Articulation Of the Problem (Step 1)mentioning

confidence: 99%

A system dynamics model for behavioral analysis of safety conditions in a chemical storage unit

Bouloiz¹,

Garbolino²,

Tkiouat³

et al. 2013

Safety Science

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International audienceThis paper aims to develop a system dynamics model in order to formalize causal interdependencies between safety factors (technical, organizational and human). These factors define safety conditions in a complex industrial system. It is a systemic approach founded on the method of system dynamics and the case study is a storage unit for chemical products located in Morocco. System dynamics using VENSIM® software has been applied to assess the safety of the storage unit by modeling the activity of the industrial system. Through simulation, users can define deviant scenarios in order to improve safety of the industrial system and implement managerial tools involving organizational, technical and human factors

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“…In [1] the authors showed that the human factor is in interaction with all components of the system through functions (formalized with the use case diagram) carried out by the operators. This network of interactions within the system shows that the human factor in addition to the organizational environment defines its behavior by avoiding any situation of risk (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

“…Consideration of human factor and the organizational environment in risk management appears to be a key element to improve industrial safety [1]. This environment contains multiple factors that influence human behavior.…”

Section: Introductionmentioning

confidence: 99%

Modeling of an Organizational Environment by System Dynamics and Fuzzy Logic

Bouloiz¹,

Garbolino²,

Tkiouat³

2013

OJSST

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This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.International audienceThis paper presents an analysis, by a combination of dynamic systems and fuzzy logic, of the work environment of human factor. This environment contains a set of factors (variables) that influence human behavior in the context of industrial safety. The definition of these behavioral factors is made from a prior synthesis of the main factors that influence the safe behavior of human factor. The use of system dynamics allows identifying causal interactions between all these factors and representing these interactions through a systemic and dynamic vision. Fuzzy logic is used to account the qualitative and uncertain nature of variables value (called linguistic value) resulting from the phenomenon of perception. This work is a new conceptualization of dynamic systems and fuzzy logic for modeling the safe behavior of human factor

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Contribution of a systemic modeling approach applied to support risk analysis of a storage unit of chemical products in Morocco

Cited by 7 publications

References 18 publications

A Risk Assessment Proposal through System Dynamics

A Risk Assessment Proposal through System Dynamics

A system dynamics model for behavioral analysis of safety conditions in a chemical storage unit

Modeling of an Organizational Environment by System Dynamics and Fuzzy Logic

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