Addressing Business Process Deviations through the Evaluation of Alternative Pattern-Based Models - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Applied Sciences Année : 2023

Addressing Business Process Deviations through the Evaluation of Alternative Pattern-Based Models

Khaled Jalloul
François Trousset
Charles Yaacoub
Adib Akl
Nicolas Daclin

Résumé

Business processes (BPs) have become extremely complex with thousands of tasks to be completed. These processes should be modelled to manage their complexity, but deviations from these models can occur during execution. To account for the potential outcomes, models are often over-specified, but in fact, it is impossible to anticipate every scenario. Therefore, the issue of how to model the response to these problems arises. The approach put forward in this study entails the creation of a primary model with the aid of domain experts. If a deviation occurs during execution, the system searches for compatible patterns in a collaborative library of workflows, rather than relying on dedicated solutions for specific problems. Nevertheless, the main challenges lie in selecting the most appropriate set of candidates from a vast number of patterns, as well as identifying the optimal injection points on the primary model to correct the deviation. One main objective is to rapidly eliminate incompatible patterns by employing simple mathematical techniques to narrow down the pool of candidate solutions. This serves to minimize the number of patterns that should be considered where more sophisticated methods can then be utilized to rank and select the best solution from this smaller set.
Fichier principal
Vignette du fichier
applsci-13-07722.pdf (1.7 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04155048 , version 1 (07-07-2023)

Identifiants

Citer

Charbel Kady, Khaled Jalloul, François Trousset, Charles Yaacoub, Adib Akl, et al.. Addressing Business Process Deviations through the Evaluation of Alternative Pattern-Based Models. Applied Sciences, 2023, 13 (13), pp.7722. ⟨10.3390/app13137722⟩. ⟨hal-04155048⟩
24 Consultations
50 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More