Pereira, E; Ali, M; Wu, L and Abourizk, S (2020) Distributed simulation-based analytics approach for enhancing safety management systems in industrial construction. Journal of Construction Engineering and Management, 146(1): 04019091, ISSN 0733-9364
Abstract
Although methods for assessing and simulating the influence of safety-related measures on safety performance have been proposed, practical applications remain limited. Data required by these methods are dispersed across departments, necessitating the development or redesign of data warehouses. This research proposes a simulation-based analytics approach to enhance safety management system (SMS) decision making using distributed simulation to overcome limitations associated with previous approaches. This distributed simulation approach is used to (1) integrate historical data without modifying data-warehouse structures (i.e., data fusion component), (2) link data to an artificial neural network-based analysis component for determining the influence of safety-related measures on incident levels, (3) connect data and analysis components to existing simulation components, and (4) combine the outputs, resulting in a comprehensive safety performance evaluation system to examine incident levels. Results demonstrate that this approach successfully fuses and integrates data from several sources with analysis and simulation components in a cost-, labor-, and time-efficient manner. A distributed simulation-based analytics approach represents a considerable opportunity for industrial construction companies to more effectively use historical data, analysis tools, and simulation models.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | distributed simulation; high-level architecture; safety management system; safety-related measures |
| Index terms: | data fusion, safety management system, redesign, industrial construction, artificial neural network, decision-making, safety performance |
| Subjects: | modelling and simulation, data science, design methods, occupational health and safety management, building construction, decision analysis, health safety and environment |
| Topics: | Risk Management, Engineering Principles, Research Practice, Health and Safety, Digital Applications, Design Practice |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here