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Conference object . 2020
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Risk based approach for procedures' optimization

Authors: Demichela M.; Baldissone G.; Leva C.; Mure S.;

Risk based approach for procedures' optimization

Abstract

Despite an increase in the process automation, different activities remain mainly operator driven, as the loading and unloading of tankers, maintenance operations, and so on. In these cases, the activities performed by the operator can be critical, both for the safety and for the product quality. Optimizing the operational procedures is thus a key factor for quality and safety. A risk assessment of the procedure can be adopted as a base for optimisation, highlighting which of the tasks within the procedure mainly contributes to the risk of the working activity. Usually the analysis of the procedures is carried on through a task analysis as in Builes et al. (2014). In this paper the task analysis is used as a starting point for a quantitative risk assessment carried on through an integrated dynamic decision analysis. The logical-probabilistic model of the procedure is elaborated jointly with a consequences analysis, obtaining a risk assessment for all the sequences of tasks of the work procedure under analysis. The risk assessment considered both possible equipment failures and the potential operational errors in executing the tasks. The proposed approach is in this paper demonstrated through the application of the integrated decision analysis for the operation of unloading of ammonia in a plant for the production and storage of fertilizers.

Countries
Ireland, Italy
Keywords

Integrated dynamic decision analysis; Operational procedure optimisation; Risk based decision making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green