Automatic Parameter Estimation for Reusable Software Components of Modular and Reconfigurable Cyber-Physical Production Systems in the Domain of Discrete Manufacturing

Otto, J.; Vogel‐Heuser, Birgit; Niggemann, Oliver

doi:10.1109/tii.2017.2718729

Cited by 53 publications

(21 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently IIoT and ICPS technologies enable intelligent, adaptive control with seamless vertical, horizontal and dynamic data exchange between heterogeneous platforms and networks, through an exhaustive use of data exchange, coordination and collaboration [119], as well as through recently proposed techniques like network slicing [114]. Important ICPS operations include fault management [121], clustering analytics [122], reusable software [123], as well as reactive test case generation [124] and modular reconfiguration [125]. Typical IIoT applications include predictive maintenance [100], where a successful network configuration is able to determine the condition of the in-service equipment in order to estimate when maintenance should be performed, real-time RFID monitoring [96], for tracking products in the assembly line.…”

Section: B Architectures Focusing On Iiot / Icps and Wsanmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

View full text Add to dashboard Cite

Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

show abstract

Section: B Architectures Focusing On Iiot / Icps and Wsanmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

View full text Add to dashboard Cite

show abstract

“…Production level [14,15,16,17] Factory [18,19,20,21] Factory -System [22,6,23,24,25] System [26,27] System -Workstation…”

Section: Referencesmentioning

confidence: 99%

A Literature-Based Analysis of the Cyber-Physical Systems Under the Lens of Reconfigurability

Napoleone

Macchi

Pozzetti

2018

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Cyber-physical systems (CPSs) are an increasingly known set of technologies and applications promising to enable manufacturing firms improving their responsiveness to deal with the unpredictability of market requirements. Indeed, from an operational perspective, responsiveness can be achieved because CPSs are an enabler of the reconfigurability of factories. Reconfigurability is a capability that has been theorized since almost two decades. Therefore, today we can consider such grounded theory as a lens to frame emerging CPS-related knowledge. This paper is an effort to give a contribution in this direction. In particular, starting from the acknowledgement that a relevant characteristic of reconfigurability is modularity, this research proposes a literature-based analysis of the Cyber-Physical Systems of the future smart factory.

show abstract

“…Cyber-physical systems (CPSs) have been extensively studied over the past decade. A CPS is a large-scale interconnected complex system consisting of computing, communication and control components [13,22] and finds its fitting application in areas, such as industrial process control [24], wireless sensor networks [10,15,35], multi-agent systems [3,6,7,11,52], intelligent buildings and power grids [14,40].…”

Section: Introductionmentioning

confidence: 99%