TY  - CHAP
A1  - Philipp, Brauner
A1  - Brillowski, Florian Sascha
A1  - Dammers, Hannah
A1  - Königs, Peter
A1  - Kordtomeikel, Frauke Carole
A1  - Petruck, Henning
A1  - Schaar, Anne Kathrin
A1  - Schmitz, Seth
A1  - Steuer-Dankert, Linda
A1  - Mertens, Alexander
A1  - Gries, Thomas
A1  - Leicht-Scholten, Carmen
A1  - Nagel, Saskia K.
A1  - Nitsch, Verena
A1  - Schuh, Günther
A1  - Ziefle, Martina
ED  - Mrugalska, Beata
ED  - Trzcielinski, Stefan
ED  - Karwowski, Waldemar
ED  - Nicolantonio, Massimo Di
ED  - Roossi, Emilio
T1  - A research framework for human aspects in the internet of production: an intra-company perspective
T2  - Advances in Manufacturing, Production Management and Process Control:  Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, July 16–20, 2020, USA
N2  - Digitalization in the production sector aims at transferring concepts and methods from the Internet of Things (IoT) to the industry and is, as a result, currently reshaping the production area. Besides technological progress, changes in work processes and organization are relevant for a successful implementation of the “Internet of Production” (IoP). Focusing on the labor organization and organizational procedures emphasizes to consider intra-company factors such as (user) acceptance, ethical issues, and ergonomics in the context of IoP approaches. In the scope of this paper, a research approach is presented that considers these aspects from an intra-company perspective by conducting studies on the shop floor, control level and management level of companies in the production area. Focused on four central dimensions—governance, organization, capabilities, and interfaces—this contribution presents a research framework that is focused on a systematic integration and consideration of human aspects in the realization of the IoP.
KW  - Human factors
KW  - Digitalization
KW  - Acceptance
KW  - Ethics
KW  - Human-robot collaboration
Y1  - 2020
SN  - 978-3-030-51980-3
U6  - http://dx.doi.org/10.1007/978-3-030-51981-0_1
SP  - 3
EP  - 17
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Baier, Ralph
A1  - Brauner, Philipp
A1  - Brillowski, Florian
A1  - Dammers, Hannah
A1  - Liehner, Luca
A1  - Pütz, Sebastian
A1  - Schneider, Sebastian
A1  - Schollemann, Alexander
A1  - Steuer-Dankert, Linda
A1  - Vervier, Luisa
A1  - Gries, Thomas
A1  - Leicht-Scholten, Carmen
A1  - Mertens, Alexander
A1  - Nagel, Saskia K.
A1  - Schuh, Günther
A1  - Ziefle, Martina
A1  - Nitsch, Verena
ED  - Brecher, Christian
ED  - Schuh, Günther
ED  - van der Alst, Wil
ED  - Jarke, Matthias
ED  - Piller, Frank T.
ED  - Padberg, Melanie
T1  - Human-centered work design for the internet of production
T2  - Internet of production - fundamentals, applications and proceedings
N2  - Like all preceding transformations of the manufacturing industry, the large-scale usage of production data will reshape the role of humans within the sociotechnical production ecosystem. To ensure that this transformation creates work systems in which employees are empowered, productive, healthy, and motivated, the transformation must be guided by principles of and research on human-centered work design. Specifically, measures must be taken at all levels of work design, ranging from (1) the work tasks to (2) the working conditions to (3) the organizational level and (4) the supra-organizational level. We present selected research across all four levels that showcase the opportunities and requirements that surface when striving for human-centered work design for the Internet of Production (IoP). (1) On the work task level, we illustrate the user-centered design of human-robot collaboration (HRC) and process planning in the composite industry as well as user-centered design factors for cognitive assistance systems. (2) On the working conditions level, we present a newly developed framework for the classification of HRC workplaces. (3) Moving to the organizational level, we show how corporate data can be used to facilitate best practice sharing in production networks, and we discuss the implications of the IoP for new leadership models. Finally, (4) on the supra-organizational level, we examine overarching ethical dimensions, investigating, e.g., how the new work contexts affect our understanding of responsibility and normative values such as autonomy and privacy. Overall, these interdisciplinary research perspectives highlight the importance and necessary scope of considering the human factor in the IoP.
KW  - Responsibility
KW  - Privacy
KW  - Digital leadership
KW  - Best practice sharing
KW  - Cognitive assistance system
KW  - Human-robot collaboration
KW  - Human-centered work design
Y1  - 2023
SN  - 978-3-030-98062-7
U6  - http://dx.doi.org/10.1007/978-3-030-98062-7_19-1
N1  - Part of the book series: Interdisciplinary Excellence Accelerator Series (IDEAS)
SP  - 1
EP  - 23
PB  - Springer
CY  - Cham
ER  -