Requirements for Data-Driven Reliability Modeling and Simulation of Smart Manufacturing Systems

Friederich, Jonas; Jepsen, Sune Chung; Lazarova-Molnar, Sanja; Worm, Torben

doi:10.1109/wsc52266.2021.9715410

Cited by 8 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulation and modeling: A set of computational tools that allow studying different systems. In the engineering field, these technologies will enable the generation of virtual models to analyze production systems [63].…”

mentioning

confidence: 99%

Opportunities of the Technological Trends Linked to Industry 4.0 for Achieve Sustainable Manufacturing Objectives

et al. 2022

View full text Add to dashboard Cite

In this work, we integrate the concepts of Industry 4.0, smart manufacturing, and sustainable manufacturing in a model that provides a conceptual framework for the study of long-term solutions with a high degree of specialization, according to the specific context of each investigation. This study offers a holistic analysis and evaluation of the main challenges facing the Industry 4.0 concept. We also diagnose the current methodological proposals aimed at solving the challenges of Industry 4.0 and sustainability using a systemic review of the literature from the past 5 years. Firstly, we identify 14 technological trends linked to Industry 4.0. Subsequently, the trends are integrated into the proposed model to identify opportunities, evaluating their relationship with three performance areas. This allows the identification of trends that present the greatest number of opportunities in the context of sustainability. The second stage complements the literature review with a descriptive analysis of the studies and discusses the findings. The study concludes that the identified technological trends positively impact Industry 4.0 challenges, helping to achieve sustainable manufacturing objectives.

show abstract

mentioning

confidence: 99%