Komplexität bewirtschaften – Industrie 4.0 und die Folgen

Abstract

Kurzfassung Aktuelle Ansätze des Komplexitätsmanagements vernachlässigen häufig den positiven Einfluss von Komplexität auf die Wettbewerbsfähigkeit von Unternehmen. Dieser Beitrag stellt den neuen Ansatz der „Komplexitätsbewirtschaftung“ in soziotechnischen Systemen vor, der davon ausgeht, dass volle Kontrolle der Unternehmenskomplexität nicht mögich ist. Zu diesem Ansatz gehören neben dem Komplexitäts-Footprint auch Strategien, welche die aktive Beeinflussung der internen Komplexität ermöglichen. Mit der idealen Balance zwischen äußerer und innerer Komplexität kann die effektivste Wertschöpfung erzielt werden.

Industry 4.0 and Its Implications: Concept, Opportunities, and Future Directions

“…It is focused on the optimization of value chains due to autonomously controlled and dynamic production [18]. Furthermore, industry 4.0 is possible to indicate three future-relevant themes related to it, such as: dealing with complexity, capacity for innovation, and flexibility [19].…”

“…The CPS has many sensors and actuators and is meant to be network compatible. CPSs offer various features [19].…”

“…Machines, data management, and functionality will continue to transition away from traditional ways and toward cloud-based solutions as technology improves. The cloud enables significantly faster distribution than standalone systems, as well as quick upgrades, current performance models, and other delivery possibilities [19].…”

“…Hence, this feature provides a high level of flexibility to respond more rapidly to changing market demands, shortcomings, and problems, facilitates the optimization of the production process, increases its efficiency, and reduces the generated waste [17]. Additionally, the fact that any part or product's history is logged and can be accessed at any time ensures constant traceability, also known as "product memory" [19].…”

Modelling AGV Operation Simulation with Lithium Batteries in Manufacturing

“…Consequently, energy consumption and charging time can be very volatile, which has to be considered in real-life use cases to manage a possible decrease in costs and emissions (Ma et al 2021;Pfeilsticker et al 2019;Zhu et al 2018). Second, the steady increase in the complexity of markets poses a challenge on manufacturing companies, and their value creation networks increasingly facing new challenges (Bauernhansl et al 2014). The manufacturing companies are forced to respond to such events with nonautomated operations, high stock levels, and significant lead times.…”