Within the scheduling framework, the potential of digital twin (DT) technology, based on virtualisation and intelligent algorithms to simulate and optimise manufacturing, enables an …
The single machine scheduling problems are still present in industry 4.0. The scheduling depends on several factors, variables, and specificity of each production environment, and …
Industrial environments are heterogeneous systems that create challenges of interoperability limiting the development of systems capable of working collaboratively from …
Sustainable development of technology in manufacturing motivates entrepreneurs to increasingly introduce technical innovations into their production process. In times of …
The scheduling applied to manufacturing represents a huge opportunity for companies to stand out in a world of fast and big changes. Having a reliable scheduling system will allow …
Amid the current industrial revolution, a total disruption of the existing production lines may seem to be the easiest approach, as the potential possibilities seem limitless when starting …
Following the paradigm shift in the pharmaceutical industry from batch to continuous production, additional instrumentation and revision of control strategies to optimize material …
KJ Kramer, A Rokoss, M Schmidt - ESSN: 2701-6277, 2021 - repo.uni-hannover.de
The field of machine learning (ML) is of specific interest for production companies as it displays a perspective to handle the increased complexity within their production planning …
Manufacturing companies are under constant pressure to increase efficiency and to achieve logistical objectives. Improving production planning and control (PPC) has significant impact …