Leveraging Dynamicity and Process Mining in Ad-Hoc Business Process

Lamghari, Zineb; Saidi, Rajaa; Radgui, Maryam; Rahmani, Moulay Driss

doi:10.1007/978-3-030-66840-2_56

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Our Unstructured Business Process Improvement Approaches1

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2022

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“…These approaches are respectively validated in these publications (Lamghari et. al., 2020;Lamghari et.…”

Section: Our Unstructured Business Process Improvement Approachesmentioning

confidence: 81%

Unstructured Business Processes Improvement using Process Mining Techniques

Lamghari¹

2022

ASMScJ

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Executing loosely structured processes generate unstructured behaviours. Thus, an Unstructured Business Process (UBP) still has more issues that are difficult to be analysed and to be understood due to its complexity and variability. Moreover, the need of an instantiate response is clearly appeared in operational systems. Therefore, it is required to study related challenges that can be acquired during the transition from the structured BP to the unstructured one. In this context, process mining plays a dominant role to understand business process complexity using event data resulted from business process execution. Mainly, this paper treats three challenges related to unstructured BPs. The first challenge is how to support UBPs at runtime using process mining techniques. The second challenge is how to manage UBP variability taking into consideration variant conditions. The third challenge is how to adapt dynamically UBPs according to the company business rules and conditions.

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“…These approaches are respectively validated in these publications (Lamghari et. al., 2020;Lamghari et.…”

Section: Our Unstructured Business Process Improvement Approachesmentioning

confidence: 81%