Concept for Enhanced Production Control using Process Mining and Artificial Intelligence to Support the Decision Process in Short-Term Production Management
- The shop floor is a dynamic environment, where disturbances to the production plan occur. While there are many tools to support production planning, production control is left unsupported in handling disruptions.The aim of the Cluster of Excellence is to develop an application to support the production controller in his decision process to identify and evaluate the right countermeasures. In this abstract, we present the concept for the application. S. 133
| Author: | Markus Fischer, Mahsa Bafrani, Daniel Buecher |
|---|---|
| Parent Title (English): | Comfort and Smart Textile International Symposium 2019 |
| Editor: | Hideki Hoshiro |
| Document Type: | Part of a Book |
| Language: | English |
| Date of Publication (online): | 2022/07/06 |
| Date of first Publication: | 2019/09/07 |
| Release Date: | 2022/09/01 |
| Tag: | Konferenz Artificial intelligence; Process Mining; Production Control; Production management |
| Page Number: | 1 |
| FIR-Number: | SV7137 |
| Name of the conference: | Comfort and Smart Textile International Symposium 2019 |
| place of the conference: | Nara, Japan |
| Date of the conference: | 06.09.-07.09.2019 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Produktionsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
