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doi:10.22028/D291-34136
Title: | Manufacturing execution systems driven process analytics: A case study from individual manufacturing |
Author(s): | Mayer, Lea Mehdiyev, Nijat Fettke, Peter |
Editor(s): | Makris, Sotiris |
Language: | English |
Title: | Procedia CIRP |
Startpage: | 284 |
Endpage: | 289 |
Publisher/Platform: | Elsevier |
Year of Publication: | 2021 |
Place of publication: | Amsterdam |
Title of the Conference: | CIRP CATS 2020 |
Place of the conference: | Athens, Greece |
Publikation type: | Conference Paper |
Abstract: | The ability to trace and analyze the processes over various stages of the production value chain has become vital to generate the added value. In this context a thorough integration of the business and manufacturing processes is an essential prerequisite to facilitate the data-driven decision making which is crucial for product personalization. Implementing process analytics techniques on the critical production process data delivered by Manufacturing Execution Systems (MES) provides excessive opportunities to enhance the traceability and planning processes. To illuminate such an analytical approach, we examine in this article a use case from the individual manufacturing domain and discuss the details of the integration scenarios for MES data-driven analytics. The necessity of embedding the construction design data generated in Computer-Aided Design (CAD) systems to the proposed analytics process is particularly highlighted. The scientific and practical implications of the process analytics for different manufacturing analytics scenarios are discussed as well. |
DOI of the first publication: | 10.1016/j.procir.2020.05.239 |
URL of the first publication: | https://www.sciencedirect.com/science/article/pii/S2212827120314608 |
Link to this record: | hdl:20.500.11880/31473 http://dx.doi.org/10.22028/D291-34136 |
ISSN: | 2212-8271 |
Date of registration: | 5-Jul-2021 |
Notes: | Procedia CIRP, Volume 97, 2021, Pages 284-289 |
Faculty: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Department: | HW - Wirtschaftswissenschaft |
Professorship: | HW - Prof. Dr. Peter Loos |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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