TY  - CHAP
A1  - Czarnecki, Christian
A1  - Fettke, Peter
ED  - Czarnecki, Christian
ED  - Fettke, Peter
T1  - Robotic process automation :  Positioning, structuring, and framing the work
T2  - Robotic process automation : Management, technology, applications
N2  - Robotic process automation (RPA) has attracted increasing attention in research and practice. This chapter positions, structures, and frames the topic as an introduction to this book. RPA is understood as a broad concept that comprises a variety of concrete solutions. From a management perspective RPA offers an innovative approach for realizing automation potentials, whereas from a technical perspective the implementation based on software products and the impact of artificial intelligence (AI) and machine learning (ML) are relevant. RPA is industry-independent and can be used, for example, in finance, telecommunications, and the public sector. With respect to RPA this chapter discusses definitions, related approaches, a structuring framework, a research framework, and an inside as well as outside architectural view. Furthermore, it provides an overview of the book combined with short summaries of each chapter.
KW  - Robotic process automation
KW  - management
KW  - technology
KW  - applications
KW  - research framework
Y1  - 2021
SN  - 978-3-11-067668-6 (Print)
SN  - 978-3-11-067669-3 (PDF)
SN  - 978-3-11-067677-8 (ePub)
U6  - http://dx.doi.org/10.1515/9783110676693-202
SP  - 3
EP  - 24
PB  - De Gruyter
CY  - Oldenbourg
ER  - 
TY  - CHAP
A1  - Pfetsch, Marc E.
A1  - Abele, Eberhard
A1  - Altherr, Lena
A1  - Bölling, Christian
A1  - Brötz, Nicolas
A1  - Dietrich, Ingo
A1  - Gally, Tristan
A1  - Geßner, Felix
A1  - Groche, Peter
A1  - Hoppe, Florian
A1  - Kirchner, Eckhard
A1  - Kloberdanz, Hermann
A1  - Knoll, Maximilian
A1  - Kolvenbach, Philip
A1  - Kuttich-Meinlschmidt, Anja
A1  - Leise, Philipp
A1  - Lorenz, Ulf
A1  - Matei, Alexander
A1  - Molitor, Dirk A.
A1  - Niessen, Pia
A1  - Pelz, Peter F.
A1  - Rexer, Manuel
A1  - Schmitt, Andreas
A1  - Schmitt, Johann M.
A1  - Schulte, Fiona
A1  - Ulbrich, Stefan
A1  - Weigold, Matthias
T1  - Strategies for mastering uncertainty
T2  - Mastering uncertainty in mechanical engineering
N2  - This chapter describes three general strategies to master uncertainty in technical systems: robustness, flexibility and resilience. It builds on the previous chapters about methods to analyse and identify uncertainty and may rely on the availability of technologies for particular systems, such as active components. Robustness aims for the design of technical systems that are insensitive to anticipated uncertainties. Flexibility increases the ability of a system to work under different situations. Resilience extends this characteristic by requiring a given minimal functional performance, even after disturbances or failure of system components, and it may incorporate recovery. The three strategies are described and discussed in turn. Moreover, they are demonstrated on specific technical systems.
Y1  - 2021
SN  - 978-3-030-78353-2
U6  - http://dx.doi.org/10.1007/978-3-030-78354-9_6
N1  - Part of the Springer Tracts in Mechanical Engineering book series (STME)
SP  - 365
EP  - 456
PB  - Springer
CY  - Cham
ER  -