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Software-Based Assistance System for Decision Support on Supply Chain Level

  • In recent years, the complexity of the management of supply chains has increased significantly due to the growing individualization of products and dynamics of the market environment. To remain competitive, ensuring efficient and flexible processes and procedures along the entire supply chain are of particular importance for companies. Especially in the inter-company context, decisions must be made as quickly and correctly as possible. To enable good decision-making processes data must be processed and provided in a targeted manner. Currently, however, the necessary transparency is often lacking within the supply chains. In this article, a software-based assistance system for decision support on supply chain level is presented that aims to increase the transparency and efficiency of the decision-making process. A concept for decision support on supply chain level is presented. This paper focuses on the conceptual linkage of relevant decisions and data. Therefore, indicators are identified and linked with the relevant decisions. Moreover, a suitable way of visualizing the identified indicators for each decision in a user-friendly manner is defined. These results are then used to implement the software tool.

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Metadaten
Verfasserangaben:Maria LinnartzORCiD, Volker StichORCiDGND
URL:https://link.springer.com/chapter/10.1007/978-3-030-57993-7_24
DOI:https://doi.org/10.1007/978-3-030-57993-7_24
ISBN:978-3-030-57992-0
ISBN:978-3-030-57993-7
Titel des übergeordneten Werkes (Englisch):Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems
Untertitel (Deutsch):IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30 – September 3, 2020, Proceedings, Part I. Reihe IFIP Advances in Information and Communication Technology (IFIPAICT); Bd. 591
Verlag:Springer
Ort:Cham, Schweiz
Herausgeber*in:Bojan Lalic, Vidosav Majstorovic, Ugljesa Marjanovic, Gregor von Cieminski, David Romero
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):25.08.2020
Datum der Erstveröffentlichung:25.08.2020
Datum der Freischaltung:16.09.2020
Freies Schlagwort / Tag:Entscheidungsunterstützung; SCM; SV7266; Softwaretool; Supply-Chain-Management; supply chain management
Erste Seite:209
Letzte Seite:216
FIR-Nummer:SV7266
Konferenzname:Advances in Production Management Systems - APMS 2020
Konferenzort:Novi Sad, Serbien
Konferenzzeitraum:30.08.2020-03.09.2020
Institut / Bereiche des FIR:FIR e. V. an der RWTH Aachen
Produktionsmanagement
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften