IT on the Shop Floor - Challenges of the Digitalization of Manufacturing Companies

Richter, Alexander; Vodanovich, Shahper; Steinhüser, Melanie; Hannola, Lea

doi:10.18690/978-961-286-043-1.34

Cited by 19 publications

(13 citation statements)

References 24 publications

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“…With the utilization of manufacturing operation data, companies are able to, e.g., conduct predictive maintenance and machine assisted decision making for calibrations that allow the reduction of process-based or setup-based disruptions in order to maintain a smooth workflow. Hidria, an automotive supplier, takes over the role of a forerunner in this industrial challenge, where disparate data sources are linked to realize novel decision supporting tools to enable continuous optimization of the manufacturing process [31].…”

Section: Industrial Challenge Self-learning Manufacturing Workplacesmentioning

confidence: 99%

Comparing Approaches for Evaluating Digital Interventions on the Shop Floor

et al. 2018

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The introduction of innovative digital tools for supporting manufacturing processes has far-reaching effects at an organizational and individual level due to the development of Industry 4.0. The FACTS4WORKERS project funded by H2020, i.e., Worker-Centric Workplaces in Smart Factories, aims to develop user-centered assistance systems in order to demonstrate their impact and applicability at the shop floor. To achieve this, understanding how to develop such tools is as important as assessing if advantages can be derived from the ICT system created. This study introduces the technology of a workplace solution linked to the industrial challenge of self-learning manufacturing workplaces. Subsequently, a two-step approach to evaluate the presented system is discussed, consisting of the one used in FACTS4WORKERS and the one used in the “Heuristics for Industry 4.0” project. Both approaches and the use case are introduced as a base for presenting the comparison of the results collected in this paper. The comparison of the results for the presented use case is extended with the results for the rest of the FACTS4WORKERS use cases and with future work in the framework.

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Section: Industrial Challenge Self-learning Manufacturing Workplacesmentioning

confidence: 99%

Comparing Approaches for Evaluating Digital Interventions on the Shop Floor

et al. 2018

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“…As a result, data security of sensitive information remains a challenge that is yet to be adequately resolved [26]. Furthermore, workers with low computer or digital literacy require sufficient training before they can implement or use any digital solutions [27]. These factors can slow down the acceptance or possible adoption of digital solutions.…”

Section: Limitations Of and Misconceptions About Digitalisationmentioning

confidence: 99%

Digitalisation of Shop-Floor Operations in the South African Tool, Die, and Mould-Making Industry

Dewa

Matope

2018

SAJIE

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Digitalisation has been advocated as a possible strategy to improve the competitiveness of tool, die, and mould-making (TDM) companies in the 21 st century. The recent rise of digital technologies, such as Internet of Things devices, now makes digitalisation an achievable reality. This paper focuses on the digitalisation of shop-floor operations in the South African TDM industry through the development of a novel mobile data collection (MDC) tool known as a shop-floor management system (SMS). The developed SMS was deployed to, and validated in, a selected tooling company for various products. The developed system improved the shop-floor's real-time data collection. OPSOMMING Digitalisering is voorgestel as 'n moontlike strategie wat die mededingendheid van gereedskap-en gietvorming-maatskappye in die 21ste eeu kan verbeter. Die onlangse opkoms van digitale tegnologie, soos Internet of Things-toestelle, maak nou digitalisering 'n haalbare realiteit. Hierdie artikel fokus op die digitalisering van werkswinkelvloerbedrywighede in die Suid-Afrikaanse TDM-bedryf deur die ontwikkeling van 'n nuwe mobiele data versameling instrument vir werkswinkelvloerbestuur. Die ontwikkelde stelsel is ontplooi tot, en gevalideer in, 'n geselekteerde gereedskapmaatskappy vir verskillende produkte. Die ontwikkelde stelsel het die werkswinkel-vloer se reële-tyd datainsameling verbeter.

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“…This self-learning manufacturing workplace should provide a proactive, predictive decision support to shop floor workers. This should be established by extracting patterns of successful production processes and linking heterogeneous information sources from worker´s environment and beyond [22].…”

Section: Industrial Challenge Self-learning Manufacturing Workplacesmentioning

confidence: 99%

“…predictive maintenance and machine assisted decision making for calibrations that allow the reduction of process based or setup based disruptions in order to maintain a smooth workflow. Hidria, an automotive supplier, takes over the role of a forerunner in this industrial challenge where disparate data sources are linked to realize novel decision supporting tools to enable continuous optimization of the manufacturing process [22].…”

Section: Industrial Challenge Self-learning Manufacturing Workplacesmentioning

confidence: 99%

Insights into the Introduction of Digital Interventions at the shop floor

Schafler

Lacueva-Pérez

Hannola

et al. 2018

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

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It is well-known that the introduction of innovative digital tools in manufacturing due to Industry 4.0 has far-reaching effects on an organizational and on an individual level. The H2020 funded project FACTS4WORKERS-Worker-Centric Workplaces in Smart Factories-aims to develop user-centered assistance systems in order to demonstrate their impact and applicability at the shop floor. To do so it is important to understand how to develop such tools and how to assess if advantages can be derived from the created ICT system. This study introduces the technology of a workplace solution that is linked to a specific industrial challenge. Subsequently, a 2-stepped approach to evaluate the presented system is discussed. Heuristics, which are an output of project "Heuristics for Industry 4.0" are used to test if the developed solution covers critical aspects of socio-technical system design. Insights into the design,

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IT on the Shop Floor - Challenges of the Digitalization of Manufacturing Companies

Cited by 19 publications

References 24 publications

Comparing Approaches for Evaluating Digital Interventions on the Shop Floor

Comparing Approaches for Evaluating Digital Interventions on the Shop Floor

Digitalisation of Shop-Floor Operations in the South African Tool, Die, and Mould-Making Industry

Insights into the Introduction of Digital Interventions at the shop floor

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