PROCESS MINING AND SIMULATION MODELING IN PRODUCTION SYSTEMS: A REVIEW.

J Kurniasih, ZA Abas, SA Asmai, AB Wibowo - LogForum, 2024 - search.ebscohost.com
Background: Production systems often face challenges that impact efficiency, productivity,
and overall performance. Various approaches and techniques are employed to address …

Leveraging Auto-generative Simulation for Decision Support in Engineer-to-Order Manufacturing

M Elbasheer, V D'Augusta, G Mirabelli, V Solina… - Procedia Computer …, 2024 - Elsevier
In the sphere of Engineer-to-Order (ETO) manufacturing, the demand for highly customized
and rapidly adaptable solutions is escalating, particularly in the context of Industry 4.0 and …

Process Mining as Catalyst of Digital Twins for Production Systems: Challenges and Research Opportunities

G Lugaresi - 2024 Winter Simulation Conference (WSC), 2024 - ieeexplore.ieee.org
The advantages in terms of productivity from recent investments toward higher automation
come along with an escalating complexity in manufacturing systems. This prompts for …

Towards Learning Stochastic Population Models by Gradient Descent

JN Kreikemeyer, P Andelfinger… - Proceedings of the 38th …, 2024 - dl.acm.org
Increasing effort is put into the development of methods for learning mechanistic models
from data. This task entails not only the accurate estimation of parameters but also a suitable …

Towards A GUI-Based Automated Model Generation Framework

L Premkumar - Proceedings of the 38th ACM SIGSIM Conference on …, 2024 - dl.acm.org
This paper presents an outline and work-in-progress for a GUI based, cloud-hosted
Automated Model Generation framework targeted for discrete-event digital twins in …

[Цитат][C] Process Mining in Manufacturing and Logistics: A Systematic Map** and New Taxonomy Proposal

AC Choueiri, CF Santos, AMT Ribeiro… - Available at SSRN 4690886