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In the future, we expect manufacturing companies to follow a new paradigm that mandates more automation and autonomy in production processes. Such smart factories will offer a variety of production technologies as services that can be combined ad hoc to produce a large number of different product types and variants cost-effectively even in small lot sizes. This is enabled by cyber-physical systems that feature flexible automated planning methods for production scheduling, execution control, and in-factory logistics.
During development, testbeds are required to determine the applicability of integrated systems in such scenarios. Furthermore, benchmarks are needed to quantify and compare system performance in these industry-inspired scenarios at a comprehensible and manageable size which is, at the same time, complex enough to yield meaningful results.
In this chapter, based on our experience in the RoboCup Logistics League (RCLL) as a specific example, we derive a generic blueprint for how a holistic benchmark can be developed, which combines a specific scenario with a set of key performance indicators as metrics to evaluate the overall integrated system and its components.
Arbeitswissenschaft
(2001)
Unter Arbeit wird das Tätigsein des Menschen verstanden, bei dem dieser mit anderen Menschen und (technischen) Hilfsmitteln in Interaktion tritt, um unter wirtschaftlichen Zielsetzungen Güter und Dienstleistungen zu erstellen (Luczak, 1998a). Arbeit dient direkt oder indirekt der Erhaltung der eigenen Existenz und der Existenz der Gesellschaft. Arbeit ist deshalb eine besondere Form des Tätigseins neben anderen wie Spiel, Sport, Lemen usw.
Analog anzeigende Digitaluhr
(1983)
3D-Imaging
(2009)