Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control
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 indicators. This benefits the sustainable and efficient use of the system. The current lack of consideration of this...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Journal of Manufacturing and Materials Processing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4494/7/2/78 |
| _version_ | 1797604829396205568 |
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| author | Rocky Telatko Dirk Reichelt |
| author_facet | Rocky Telatko Dirk Reichelt |
| author_sort | Rocky Telatko |
| collection | DOAJ |
| description | 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 indicators. 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 calculations 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. |
| first_indexed | 2024-03-11T04:52:19Z |
| format | Article |
| id | doaj.art-b8f682b0cc6b4b63a1f19c2ef73f012f |
| institution | Directory Open Access Journal |
| issn | 2504-4494 |
| language | English |
| last_indexed | 2024-03-11T04:52:19Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Manufacturing and Materials Processing |
| spelling | doaj.art-b8f682b0cc6b4b63a1f19c2ef73f012f2023-11-17T19:54:30ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942023-04-01727810.3390/jmmp7020078Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and ControlRocky Telatko0Dirk Reichelt1Faculty of Informatic/Mathematic, University of Applied Sciences Dresden, Friedrich-List-Platz 1, 01069 Dresden, GermanyFaculty of Informatic/Mathematic, University of Applied Sciences Dresden, Friedrich-List-Platz 1, 01069 Dresden, GermanyIncluding 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 indicators. 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 calculations 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.https://www.mdpi.com/2504-4494/7/2/78diagnosis and prognosisproduction planning and controlevent and signal processingvariability analysis |
| spellingShingle | Rocky Telatko Dirk Reichelt Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control Journal of Manufacturing and Materials Processing diagnosis and prognosis production planning and control event and signal processing variability analysis |
| title | Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control |
| title_full | Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control |
| title_fullStr | Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control |
| title_full_unstemmed | Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control |
| title_short | Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control |
| title_sort | systematic approach for investigating temporal variability in production systems to improve production planning and control |
| topic | diagnosis and prognosis production planning and control event and signal processing variability analysis |
| url | https://www.mdpi.com/2504-4494/7/2/78 |
| work_keys_str_mv | AT rockytelatko systematicapproachforinvestigatingtemporalvariabilityinproductionsystemstoimproveproductionplanningandcontrol AT dirkreichelt systematicapproachforinvestigatingtemporalvariabilityinproductionsystemstoimproveproductionplanningandcontrol |