Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement
Abstract The Job Shop Scheduling Problem (JSSP) has been widely studied in recent
decades. Various approaches have been proposed to support scheduling decisions …
decades. Various approaches have been proposed to support scheduling decisions …
The evolution of production scheduling from Industry 3.0 through Industry 4.0
Z Jiang, S Yuan, J Ma, Q Wang - International Journal of …, 2022 - Taylor & Francis
Since the Third Industrial Revolution, technology and the global economy have developed
rapidly. Driven by market demand and the development of science and technology, the …
rapidly. Driven by market demand and the development of science and technology, the …
Proposed managerial competencies for Industry 4.0–Implications for social sustainability
SV Shet, V Pereira - Technological Forecasting and Social Change, 2021 - Elsevier
Abstract Industry 4.0 (I4. 0) is creating a paradigm shift within the current industrial context.
The study presented in this paper involved identifying and proposing the managerial …
The study presented in this paper involved identifying and proposing the managerial …
Surrogate-assisted evolutionary multitask genetic programming for dynamic flexible job shop scheduling
Dynamic flexible job shop scheduling (JSS) is an important combinatorial optimization
problem with complex routing and sequencing decisions under dynamic environments …
problem with complex routing and sequencing decisions under dynamic environments …
Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns
The utilization of real-time information in production scheduling decisions becomes possible
with the help of new developments in Information Technology and Industrial Informatics …
with the help of new developments in Information Technology and Industrial Informatics …
Multitask genetic programming-based generative hyperheuristics: A case study in dynamic scheduling
Evolutionary multitask learning has achieved great success due to its ability to handle
multiple tasks simultaneously. However, it is rarely used in the hyperheuristic domain, which …
multiple tasks simultaneously. However, it is rarely used in the hyperheuristic domain, which …
Literature review on using data mining in production planning and scheduling within the context of cyber physical systems
PM Seeger, Z Yahouni, G Alpan - Journal of Industrial Information …, 2022 - Elsevier
Within the context of Industry 4.0, Cyber Physical Systems (CPS) are defined as
technologies that can manage interconnected systems between its physical assets and …
technologies that can manage interconnected systems between its physical assets and …
On reliability of reinforcement learning based production scheduling systems: a comparative survey
The deep reinforcement learning (DRL) community has published remarkable results on
complex strategic planning problems, most famously in virtual scenarios for board and video …
complex strategic planning problems, most famously in virtual scenarios for board and video …
Production planning and scheduling in Cyber-Physical Production Systems: a review
The study of scheduling procedures has generated important contributions to the
improvement of productivity in different industrial branches. In recent years, the incorporation …
improvement of productivity in different industrial branches. In recent years, the incorporation …
Metamodelling of manufacturing processes and automation workflows towards designing and operating digital twins
The automation of workflows for the optimization of manufacturing processes through digital
twins seems to be achievable nowadays. The enabling technologies of Industry 4.0 have …
twins seems to be achievable nowadays. The enabling technologies of Industry 4.0 have …