Systematisation Approach
- Current megatrends such as globalisation and digitalisation are increasing complexity, making systems for well-founded and short-term decision support indispensable. A necessary condition for reliable decision-making is high data quality. In practice, it is repeatedly shown that data quality is insufficient, especially in master and transaction data. Moreover, upcoming approaches for data-based decisions consistently raise the required level of data quality. Hence, the importance of handling insufficient data quality is currently and will remain elementary. Since the literature does not systematically consider the possibilities in the case of insufficient data quality, this paper presents a general model and systematic approach for handling those cases in real-world scenarios. The model developed here presents the various possibilities of handling insufficient data quality in a process-based approach as a framework for decision support. The individual aspects of the model are examined in more detail along the process chain from data acquisition to final data processing. Subsequently, the systematic approach is applied and contextualised for production planning and supply chain event management, respectively. Due to their general validity, the results enable companies to manage insufficient data quality systematically.
Author: | Tobias SchröerORCiDGND, Jokim JanßenGND, Günther SchuhORCiDGND, Volker StichGND |
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URL: | https://www.repo.uni-hannover.de/handle/123456789/13575 |
DOI: | https://doi.org/10.15488/13465 |
Parent Title (English): | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 |
Subtitle (English): | Handling Insufficient Data Quality |
Publisher: | publish-Ing. |
Place of publication: | Hannover |
Editor: | D. Herberger, M. Hübner, Volker Stich |
Document Type: | Conference Proceeding |
Language: | English |
Date of Publication (online): | 2023/05/03 |
Date of first Publication: | 2023/04/20 |
Release Date: | 2023/05/03 |
Tag: | 02; rev Data Quality; Insufficient Data; PPC; Production Planning; SCEM; Supply Chain Event Management |
First Page: | 469 |
Last Page: | 478 |
FIR-Number: | SV7679 |
Name of the conference: | 4th Conference on Production Systems and Logistics (CPSL) |
place of the conference: | Santiago de Queretaro, Mexico |
Date of the conference: | 28.02.2023-03.03.2023 |
Institute / Department: | FIR e. V. an der RWTH Aachen |
Produktionsmanagement | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
Licence (German): | Creative Commons – CC BY 3.0 DE – Namensnennung 3.0 Deutschland |