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Typification Of Incorrect Event Data In Supply Chain Event Management

  • Due to shorter product life cycles and the increasing internationalization of competition, companies are confronted with increasing complexity in supply chain management. Event-based systems are used to reduce this complexity and to support employees' decisions. Such event-based systems include tracking & tracing systems on the one hand and supply chain event management on the other. Tracking & tracing systems only have the functions of monitoring and reporting deviations, whereas supply chain event management systems also function as simulation, control, and measurement. The central element connecting these systems is the event. It forms the information basis for mapping and matching the process sequences in the event-based systems. The events received from the supply chain partner form the basis for all downstream steps and must, therefore, contain the correct data. Since the data quality is insufficient in numerous use cases and incorrect data in supply chain event management is not considered in the literature, this paper deals with the description and typification of incorrect event data. Based on a systematic literature review, typical sources of errors in the acquisition and transmission of event data are discussed. The results are then applied to event data so that a typification of incorrect event types is possible. The results help to significantly improve event-based systems for use in practice by preventing incorrect reactions through the detection of incorrect event data.

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Metadaten
Author:Jokim JanßenGND, Günther SchuhORCiDGND, Volker StichORCiDGND
URL:https://cpsl-conference.com/wp-content/uploads/2022/06/Proceedings-of-the-Conference-on-Production-Systems-and-Logistics-CPSL-2022.pdf
DOI:https://doi.org/10.15488/12183
Parent Title (English):Proceedings of the Conference on Production Systems and Logistics (CPSL 2022)
Publisher:publish-Ing
Place of publication:Offenburg
Editor:David Herberger, Marco Hübner
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2022/07/04
Date of first Publication:2022/06/27
Release Date:2022/08/03
Tag:rev
CPSL; EPCIS; Event Data; Incorrect Data; Supply Chain Event Management; Typification
First Page:297
Last Page:307
FIR-Number:SV7764
Name of the conference:Conference on Production Systems and Logistics (CPSL 2022)
place of the conference:Vancouver
Date of the conference:17.05.-20.05.22
Institute / Department:FIR e. V. an der RWTH Aachen
Produktionsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften