Proceedings Article10.1109/HICSS.2016.627
Towards an Integrative Big Data Analysis Framework for Data-Driven Risk Management in Industry 4.0
Tim Niesen,Constantin Houy,Peter Fettke,Peter Loos +3 more
- 05 Jan 2016
- pp 5065-5074
83
TL;DR: This work provides a holistic framework for data-driven risk assessment based on real-time data and provides a technical concept that combines methods for risk assessment with performance metrics and demonstrates a software implementation in the context of an exemplary use case scenario.
read more
Abstract: With the advent of Industry 4.0, industrial manufacturing systems constantly evolve into smart, interconnected production systems. Pervasive integration of information and communication technology into productional components results in massive amounts of various data. To meet the challenges that arise from an increasingly competitive market and more demanding customer requirements, technological drivers have to be leveraged in order to process data effectively. One important aspect in that regard is the efficient management of business processes and process risks. As an integrative concept in these areas is missing, we present a holistic framework for data-driven risk assessment based on real-time data. Besides a conceptual model, we provide a technical concept that combines methods for risk assessment with performance metrics and demonstrate a software implementation in the context of an exemplary use case scenario. Finally, we present the results of expert interviews and a discussion indicating future research directions.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Industry 4.0: A Survey on Technologies, Applications and Open Research Issues
TL;DR: A comprehensive review on Industry 4.0 is conducted and presents an overview of the content, scope, and findings by examining the existing literatures in all of the databases within the Web of Science.
2.7K
The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
TL;DR: This paper analyses recent literature and case-studies seeking to bring the discussion further with the help of a conceptual framework for researching the relationships between digitalisation and SC disruptions risks and emerges with an SC risk analytics framework.
1.4K
Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives
Pai Zheng,Honghui wang,Zhiqian Sang,Runyang Zhong,Yongkui Liu,Chao Liu,Khamdi Mubarok,Shiqiang Yu,Xun Xu +8 more
TL;DR: This study examines smart manufacturing systems for Industry 4.0 using a conceptual framework and demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling.
Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context: A business model proposal
Daniel Luiz de Mattos Nascimento,Viviam Alencastro,Osvaldo Luiz Gonçalves Quelhas,Rodrigo Goyannes Gusmão Caiado,Jose Arturo Garza-Reyes,Luis Rocha-Lona,Guilherme Luz Tortorella +6 more
TL;DR: In this article, the authors explore how rising technologies from Industry 4.0 can be integrated with circular economy (CE) practices to establish a business model that reuses and recycles wasted material such as scrap metal or e-waste.
716
Occupational health and safety in the industry 4.0 era: A cause for major concern?
TL;DR: In this paper, the authors examine the impact of industrial 4.0 on occupational health and safety (OHS) in the context of real-time communication, big data, human-machine cooperation, remote sensing, monitoring and process control, autonomous equipment and interconnectivity.
363
References
Design science in information systems research
TL;DR: The objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research.
Industry 4.0
Heiner Lasi,Peter Fettke,Hans-Georg Kemper,Thomas Feld,Michael J. Hoffmann +4 more
- 19 Jun 2014
TL;DR: The term “Industry 4.0” describes a future project that can be defined by two development directions: an economic and ecological increase in efficiency and an exceptional technology-push in industrial practice.
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Jay Lee,Hung An Kao,Shanhu Yang +2 more
TL;DR: This paper addresses the trends of manufacturing service transformation in big data environment, as well as the readiness of smart predictive informatics tools to manage big data, thereby achieving transparency and productivity.
1.8K
How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective
TL;DR: In this paper, the authors describe the developments of Industry 4.0 within the literature and review the associated research streams. And they assess the practical implications, conducting face-to-face interviews with managers from the industry as well as from the consulting business.