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Modelling and simulation of complex sociotechnical systems: envisioning and analysing work environments
Lawrence J Hettinger1, Alex Kirlik, Yang Miang Goh
1a Liberty Mutual Research Institute for Safety , 71 Frankland Road, Hopkinton , MA 01748 , USA.
Computer-based models and simulations aid in understanding complex sociotechnical systems. These tools facilitate design, analysis, and comprehension of system performance and modifications, especially for safety.
Area of Science:
- Sociotechnical Systems Analysis
- Computational Modeling
- Simulation Science
Background:
- Complex sociotechnical systems pose challenges for traditional analysis and empirical study.
- Cognitive limitations can hinder comprehension of system structure and behavior.
- Existing methods struggle with the scale and intricacy of real-world systems.
Purpose of the Study:
- To explore the utility of computer-based models and simulations for sociotechnical systems.
- To identify advantages for design, comprehension, and empirical analysis.
- To address challenges in understanding factors impacting system design and operation, particularly in safety contexts.
Main Methods:
- Conceptual analysis of modeling and simulation approaches for sociotechnical systems.
- Review of design and implementation considerations for these computational tools.
- Discussion of potential impacts on system properties and stakeholder understanding.
Main Results:
- Computer-based models and simulations offer a viable approach to overcome analytical barriers.
- These tools can foster a common mental model among stakeholders for improved comprehension.
- Simulations enable the study of system modifications and their effects, which is infeasible with traditional methods.
Conclusions:
- Models and simulations are valuable for sociotechnical system design and analysis.
- They enhance understanding of system dynamics and the impact of changes.
- A path forward for development and implementation of these tools is proposed.
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