Risk management based work order prioritization

A method, comprising:

• maintaining, by a system comprising a processor, open work orders for performing maintenance tasks on industrial assets within an industrial facility;
• receiving, by the system via interaction with a user interface, inspection result data indicating results of an inspection performed on an industrial machine within the industrial facility;
• and
• in response to determining that the inspection result data is indicative of a performance risk associated with the industrial machine:
• formulating, by the system, one or more maintenance tasks designed to mitigate the performance risk;
• generating, by the system, a first work order to perform the one or more maintenance tasks and adding the first work order to the open work orders;
• in response to the generating of the first work order, determining, by the system based on the one or more maintenance tasks, a modification to a second work order, of the open work orders, that causes the open work orders to implement a holistic maintenance strategy that satisfies defined maintenance optimization criteria, wherein
• the defined maintenance optimization criteria comprise at least minimization of a number of technicians required to execute the open work orders, and
• the determining comprises formulating and submitting, based on the one or more maintenance tasks defined by the first work order, a prompt to a generative artificial intelligence (AI) model designed to obtain a response from the generative AI model used to determine the modification to the second work order;
• and
• implementing, by the system, the modification to the second work order.

A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause a work order management system comprising a processor to perform operations, the operations comprising:

• maintaining open work orders for performing maintenance tasks on industrial assets within an industrial facility;
• receiving, via interaction with a user interface rendered by the user interface component, inspection result data indicating results of an inspection performed on an industrial machine within the industrial facility;
• and
• in response to determining that the inspection result data is indicative of a performance risk associated with the industrial machine:
• formulating one or more maintenance tasks designed to mitigate the performance risk;
• generating a first work order to perform the one or more maintenance tasks and adding the first work order to the open work orders;
• in response to the generating of the first work order, determining a modification to a second work order, of the open work orders, that causes the open work orders to implement a holistic maintenance strategy that satisfies defined maintenance optimization criteria, wherein
• the defined maintenance optimization criteria comprise at least minimization of a number of technicians required to execute the open work orders, and
• the determining of the modification comprises formulating and submitting, based on the one or more maintenance tasks defined by the first work order, a prompt to a generative artificial intelligence (AI) model designed to obtain a response from the generative AI model used to determine the modification to the second work order;
• and
• implementing the modification to the second work order.