Research on Value Based Heuristics Miner for Product Service System

Xuequan Zhou (1, 2) , Yi Tan (1, 2) , Grégory Zacharewicz (3) , Yuqi Liu (1, 2) , Kexin Tan (1, 2) , David Chen (4)

1 HIT - Harbin Institute of Technology
2 Research Center of Intelligent Computing for Enterprises & Services
3 LSR - Laboratoire des Sciences des Risques
4 IMS - Laboratoire de l'intégration, du matériau au système

Manufacturing enterprises integrate products and services, to improve and expand business processes from the perspective of service, so that they can realize the management of the whole life cycle of the product and obtain more benefits. The original process mining algorithm cannot support the establishment of customer-centered service process model, nor can it describe the value creation mechanism of service stakeholders in the service process. To solve this problem, this paper takes the manufacturing product service system as the background, improves the flexible heuristic miner, which can mine customer-oriented service process model from the event log, and extracts the actors and value information of service activities, so as to build the service-oriented process value model. We verify the improved heuristic miner through a case of air conditioner product service system.

Mots clés: product service system; service value; improved heuristic miner; process mining

Domaines: Modélisation et simulation

Xuequan Zhou, Yi Tan, Grégory Zacharewicz, Yuqi Liu, Kexin Tan, et al.. Research on Value Based Heuristics Miner for Product Service System. IEEE WETICE 2021, Oct 2021, Biarritz (en ligne), France. ⟨hal-03400541⟩