Abstract The Job Shop Scheduling Problem (JSSP) has been widely studied in recent
decades. Various approaches have been proposed to support scheduling decisions …

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 …

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 …