A Resource Recommendation Approach based on Co-Working History

Abstract

Abstract-Recommending the right resource to execute the next activity of a running process instance is of utmost importance for the overall performance of the business process, as well as the resource and for the whole organization. Several approaches have recommended a resource based on the task requirements and the resource capabilities. Moreover, the process execution history and the logs have been used to better recommend a resource based on different human-resource recommender criteria like frequency and speed of execution, etc. These approaches considered the recommendation based on the individual's execution history of the task that will be allocated to the resource. In this paper, a novel approach based on the co-working history of resources has been proposed. This approach considers the resources that had executed the previous tasks in the current running process instances. Then, it recommends a resource that has the best harmony with the rest of the resources.

Prescriptive process monitoring: Quo vadis?

“…Rather, they implement an independent method that provides recommendations based on specific criteria. For instance, the method proposed by Abdulhameed et al (2018) computes co-working relationships of resources based on frequency (how often a resource performed a task in the past) and duration (what the processing time was). As a result, the algorithm recommends resources that have the best working harmony with other resources.…”

“…For instance, in Nakatumba, Westergaard & van der Aalst (2012) , the next best action is recommended based on the highest predicted value in relation to a goal. Others compose a set of rules which serve as a policy ( Arias et al, 2018 ; Abdulhameed et al, 2018 ; Barba, Weber & Valle, 2011 ). As such, Abdulhameed et al (2018) define a rule for recommending a resource based on the resource’s availability, processing time, and compatibility with other resources.…”

“…Others compose a set of rules which serve as a policy ( Arias et al, 2018 ; Abdulhameed et al, 2018 ; Barba, Weber & Valle, 2011 ). As such, Abdulhameed et al (2018) define a rule for recommending a resource based on the resource’s availability, processing time, and compatibility with other resources.…”

Prescriptive Process Monitoring: Quo Vadis?

“…If we follow the resource perspective, the framework shows that a set of methods can recommend, for example, resources for the next task or a whole team for a specific request (Intervention). For instance, two methods [45,1] propose to recommend resources for the next task as an intervention. However, they have different input perspectives and techniques.…”

“…Those methods that use observational event logs from BPI challenges 6 , rely on winner reports to identify the possible interventions (e.g., [35,37]). Continuous methods, on the other hand, focus on recommending the next task(s) (e.g., [15,6,47]) or resource allocation (e.g., [3,1,21]). Thus, one direction for further research is designing methods to support the discovery of interventions from business process event logs, or from textual documentation, or other unstructured or structured metadata about the process.…”