Download statistics - Document (COUNTER):
Lossie, K.; Birk, N.; Sivasubramaniam, S.; Schmitt, R.H.: Framework for Context-Sensitive Dashbords Enabling Decision Support on Production Shop Floor. In: Herberger, D.; Hübner, M.; Stich, V. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 1. Hannover : publish-Ing., 2023, S. 533-543. DOI: https://doi.org/10.15488/13471
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Sum total of downloads: 118
| Abstract: | |
The advancing digitalization of production means that a large amount of data and information is being collected. Used correctly, these represent a significant competitive advantage. Decision support systems (DSS) can help to provide employees with the right information at the right time. Context-sensitive dashboards in the sense of decision support have the potential to provide employees on the shopfloor with information according to their needs.Within the scope of this work, a framework for the determination of the context-sensitive information needs of the staff on the shopfloor was developed. The goal was to reduce the development and adaptation effort of a context-sensitive application by classifying activities with similar information needs in advance. According to the methodology, the information needs of the employees are first analyzed and activities are summarized in terms of their general information needs. Subsequently, the information needs are weighted in order to prioritize them with regard to the processing and selection of information. The context-sensitive dashboard was then implemented using a user-centric approach to achieve a high level of user acceptance. The developed prototype, including architecture and design, was then tested and evaluated by experts. Three scenarios were compared in which experts were asked to assess the information requirements for employees in production. These results were then compared with the results of the framework. The comparison showed that for two of the three scenarios, the weighting determined in the framework matched the experts' assessments to a high degree. These general scenarios show that it is possible to generate context-sensitive dashboards based on demand using the developed framework. If the activities become more specific, it became apparent that further developments of the framework are necessary to cover the corresponding information needs. For this purpose, an iterative application to further scenarios and subsequent implementation in the framework seems to be purposeful. | |
| License of this version: | CC BY 3.0 DE |
| Document Type: | BookPart |
| Publishing status: | publishedVersion |
| Issue Date: | 2023 |
| Appears in Collections: | Proceedings CPSL 2023 - 1 Proceedings CPSL 2023 - 1 |
distribution of downloads over the selected time period:
downloads by country:
| pos. | country | downloads | ||
|---|---|---|---|---|
| total | perc. | |||
| 1 |  |
Germany | 56 | 47.46% |
| 2 |  |
United States | 11 | 9.32% |
| 3 |  |
Russian Federation | 8 | 6.78% |
| 4 |  |
Iran, Islamic Republic of | 6 | 5.08% |
| 5 |  |
Indonesia | 4 | 3.39% |
| 6 |  |
China | 4 | 3.39% |
| 7 |  |
France | 3 | 2.54% |
| 8 |  |
Austria | 3 | 2.54% |
| 9 |  |
United Kingdom | 2 | 1.69% |
| 10 |  |
Czech Republic | 2 | 1.69% |
| other countries | 19 | 16.10% | ||
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