(70a) Siri, How to Design a Procedure? Integration of Natural Language Processing in Procedure Design
- Conference: AIChE Spring Meeting and Global Congress on Process Safety
- Year: 2019
- Proceeding: 2019 Spring Meeting and 15th Global Congress on Process Safety
- Group: Global Congress on Process Safety
- Time: Tuesday, April 2, 2019 - 8:00am-8:30am
Natural language processing (NLP) is an artificial intelligence-based technique that explores how computers can be used to understand and manipulate natural language text for multiple applications. The technique has significantly evolved over the past decade as reflected in various commercialized applications such as Google Assistant, iPhone Siri, and Amazon Alexa. Interestingly, NLP has also been applied in safety domain in applications such as extracting constructive information from aviation safety reports and analyzing OSHA injury reports to identify patterns with respect to type of incidents.
In the present study, we are developing a novel NLP based algorithm that identifies the elements in a procedure that contribute to complexity. It will analyze the overall text and pinpoint the words and phrases that require the operator to make decisions and judgments at both step and procedure level. The algorithm will also identify whether sufficient level of information is provided in the step of the procedure for the operator to effectively perform the task. Lastly, the algorithm will recommend whether the steps in a procedure need to be split into multiple steps or combined into a single step to improve operator performance. An important aspect of the algorithm will be the âsmartâ nature of the algorithm. The algorithm will continuously improve as it analyzes more procedures. The algorithm will identify complexity terms in a procedure, store it in its memory and look for same/similar terms in the next procedure. Thus, after applying the algorithm to multiple procedures, we will be able to identify text patterns from the memory of the algorithm that contribute to complexity in a procedure. This novel NLP based approach can be vital in deciphering the causes inherent in a procedure that lead to procedural deviations and eliminating these elements will help us to move towards a safer industry.
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