Including the inherent temporal variability in a production system in planning and control
processes can ensure the fulfillment of the production schedule and increase key performance indica-
tors. This benefits the sustainable and efficient use of the system. The current lack of consideration
of this inherent temporal variability in production planning leads to optimistic estimates and calcu-
lations of planned values that cannot be met. To complete this information, the inherent temporal
variability in a production system is investigated using a systematic approach. This approach detects,
identifies, and quantifies inherent temporal variability and is applied to a data base created via an
automated, event-driven procedure. The approach is tested in a smart factory laboratory. The results
to date on improving production planning and control are promising as key performance indicators
have been increased. There is still a need for action to ensure the fulfillment of the production
schedule. Concluding, work on this topic has just begun, as can be seen from the discussion section.
More data need to be collected and aggregated for future research. This publication is intended to
motivate researchers to address this issue and better manage the existing uncertainty in production
through the use of data.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:89883 |
| Date | 16 February 2024 |
| Creators | Telatko, Rocky, Reichelt, Dirk |
| Contributors | Hochschule für Technik und Wirtschaft |
| Publisher | MDPI |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 2504-4494, 2911715-X, 78, https://doi.org/10.3390/jmmp7020078 |
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