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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
Author: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
Parent Title (English):Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems
Subtitle (German):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
Publisher:Springer
Place of publication:Cham, Schweiz
Editor:Bojan Lalic, Vidosav Majstorovic, Ugljesa Marjanovic, Gregor von Cieminski, David Romero
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2020/08/25
Date of first Publication:2020/08/25
Release Date:2020/09/16
Tag:Entscheidungsunterstützung; SCM; SV7266; Softwaretool; Supply-Chain-Management; supply chain management
First Page:209
Last Page:216
FIR-Number:SV7266
Name of the conference:Advances in Production Management Systems - APMS 2020
place of the conference:Novi Sad, Serbien
Date of the conference:30.08.2020-03.09.2020
Institute / Department:FIR e. V. an der RWTH Aachen
Produktionsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften