Development of ERP and Other Large Business Systems in the Context of New Trends and Technologies

Šuman, Sabrina; Pogarčić, Ivan

doi:10.2507/27th.daaam.proceedings.047

Cited by 1 publication

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The processing and analysis of data obtained through business processes in information systems are manually performed [6,9,11]. With this workload in information systems, flexibility and definition have not received enough attention, as well as the developed open process concepts [1]. As the consistency or comparison of business process models emerged as a need, the first signs of process mining began to be seen.…”

Section: Introductionmentioning

confidence: 99%

“…Then, key concepts, manifestos, roadmap and challenges were defined as a research area [5]. The process mining research area, which uses data mining techniques to discover automatically and dynamically consistent process models and detect anomalies and their causes, has been announced [1]. Today, process mining is considered a broad discipline that combines the meaningful association, analysis, improvement, execution, and monitoring of the data that makes up the process under the umbrella of data science with information from information technology and management sciences [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Process Mining in Manufacturing: A Literature Review

Yurtay

2022

Sakarya University Journal of Computer and Information Sciences

View full text Add to dashboard Cite

Process mining in manufacturing is a newly expanding field of research in the application of data mining and machine learning techniques and the focus of business processes. Although it is an exciting subject of the recent past and business processes, sufficient research has not been done. Decision support systems such as enterprise resource planning, customer relationship management, and management information systems store the most valuable resource data of process details and event logs. In the advanced information systems of tomorrow, the process management, analysis, and modelling functions of modern enterprises will take their place as a necessity. As a requirement, the fundamental purpose of process mining in production is to refine data from event logs, automatically create process models, compare models with event logs, and improve and make development continuous. Our work is to contribute to application and research studies by drawing attention to process mining in the context of production. It is based on the literature review and primary stages of business process mining publications in the last decade with a production focus. An overview is discussed as a roadmap for future research with meaningful results.

show abstract