Human–Machine Integration in Processes within Industry 4.0 Management
The aim of this work is to use IIoT technology and advanced data processing to promote integration strategies between these elements to achieve a better understanding of the processing of information and thus increase the integrability of the human–machine binomial, enabling appropriate management s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/17/5928 |
| _version_ | 1797520825669124096 |
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| author | Javier Villalba-Diez Joaquín Ordieres-Meré |
| author_facet | Javier Villalba-Diez Joaquín Ordieres-Meré |
| author_sort | Javier Villalba-Diez |
| collection | DOAJ |
| description | The aim of this work is to use IIoT technology and advanced data processing to promote integration strategies between these elements to achieve a better understanding of the processing of information and thus increase the integrability of the human–machine binomial, enabling appropriate management strategies. Therefore, the major objective of this paper is to evaluate how human–machine integration helps to explain the variability associated with value creation processes. It will be carried out through an action research methodology in two different case studies covering different sectors and having different complexity levels. By covering cases from different sectors and involving different value stream architectures, with different levels of human influence and organisational requirements, it will be possible to assess the transparency increases reached as well as the benefits of analysing processes with higher level of integration between them. |
| first_indexed | 2024-03-10T08:04:02Z |
| format | Article |
| id | doaj.art-82950e10497a4fca8aa7fbb3a4938c35 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:04:02Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-82950e10497a4fca8aa7fbb3a4938c352023-11-22T11:14:37ZengMDPI AGSensors1424-82202021-09-012117592810.3390/s21175928Human–Machine Integration in Processes within Industry 4.0 ManagementJavier Villalba-Diez0Joaquín Ordieres-Meré1Hochschule Heilbronn, Fakultät Management und Vertrieb, Campus Schwäbisch Hall, 74523 Schwäbisch Hall, GermanyEscuela Técnica Superior de Ingenieros Industriales (ETSII), Universidad Politécnica de Madrid, 28006 Madrid, SpainThe aim of this work is to use IIoT technology and advanced data processing to promote integration strategies between these elements to achieve a better understanding of the processing of information and thus increase the integrability of the human–machine binomial, enabling appropriate management strategies. Therefore, the major objective of this paper is to evaluate how human–machine integration helps to explain the variability associated with value creation processes. It will be carried out through an action research methodology in two different case studies covering different sectors and having different complexity levels. By covering cases from different sectors and involving different value stream architectures, with different levels of human influence and organisational requirements, it will be possible to assess the transparency increases reached as well as the benefits of analysing processes with higher level of integration between them.https://www.mdpi.com/1424-8220/21/17/5928Industry 4.0Operator 4.0process variabilityJIDOKAintegration explaining variability |
| spellingShingle | Javier Villalba-Diez Joaquín Ordieres-Meré Human–Machine Integration in Processes within Industry 4.0 Management Sensors Industry 4.0 Operator 4.0 process variability JIDOKA integration explaining variability |
| title | Human–Machine Integration in Processes within Industry 4.0 Management |
| title_full | Human–Machine Integration in Processes within Industry 4.0 Management |
| title_fullStr | Human–Machine Integration in Processes within Industry 4.0 Management |
| title_full_unstemmed | Human–Machine Integration in Processes within Industry 4.0 Management |
| title_short | Human–Machine Integration in Processes within Industry 4.0 Management |
| title_sort | human machine integration in processes within industry 4 0 management |
| topic | Industry 4.0 Operator 4.0 process variability JIDOKA integration explaining variability |
| url | https://www.mdpi.com/1424-8220/21/17/5928 |
| work_keys_str_mv | AT javiervillalbadiez humanmachineintegrationinprocesseswithinindustry40management AT joaquinordieresmere humanmachineintegrationinprocesseswithinindustry40management |