Kontextspezifische Visualisierung von Prozesskennzahlen

Kahl, Timo; Zimmer, Fränk

doi:10.1007/978-3-658-17297-8_5

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…To ensure a demand-oriented provision of data, a suitable way of visualizing the indicators to support the decision-maker is defined. Characteristics for sufficient data visualization are a target group-specific and context-related presentation in an easily understandable, quickly comprehensible and precise form [17]. To provide decision support, user-friendly and context-dependent information visualization and interaction formats are of particular importance [18].…”

Section: Fig 2 Concept For Decision Support At Supply Chain Levelmentioning

confidence: 99%

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

Linnartz

Stich

2020

IFIP Advances in Information and Communication Technology

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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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Section: Fig 2 Concept For Decision Support At Supply Chain Levelmentioning

confidence: 99%