Graph-based modeling in shop scheduling problems: Review and extensions
Graphs are powerful tools to model manufacturing systems and scheduling problems. The
complexity of these systems and their scheduling problems has been substantially …
complexity of these systems and their scheduling problems has been substantially …
Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems
The COVID-19 pandemic brings many unexpected disruptions, such as frequently shifting
markets and limited human workforce, to manufacturers. To stay competitive, flexible and …
markets and limited human workforce, to manufacturers. To stay competitive, flexible and …
Manufacturing systems for unexpected events: An exploratory review for operational and disruption risks
A Vital-Soto, J Olivares-Aguila - IEEE Access, 2023 - ieeexplore.ieee.org
Manufacturing systems are the core of manufacturing industries that have evolved to adapt
to the ever-changing landscape. Nowadays, manufacturing systems are more frequently …
to the ever-changing landscape. Nowadays, manufacturing systems are more frequently …
A generic methodology for calculating rescheduling time for multiple unexpected events in the era of zero defect manufacturing
F Psarommatis, G Martiriggiano, X Zheng… - Frontiers in Mechanical …, 2021 - frontiersin.org
Nowadays, the manufacturing industry is constantly changing. Production systems must
operate in a highly dynamic environment where unexpected events could occur and create …
operate in a highly dynamic environment where unexpected events could occur and create …
Hybrid filtered beam search algorithm for the optimization of monitoring patrols
M Gam, AJ Telmoudi, D Lefebvre - Journal of Intelligent & Robotic Systems, 2023 - Springer
This paper offers an operational and methodological response for managing industrial risks
by improving the monitoring of industrial areas. The objective is the optimization of …
by improving the monitoring of industrial areas. The objective is the optimization of …
Job shop rescheduling with rework and reconditioning in Industry 4.0: an event-driven approach
In this paper, we investigate the impact of rescheduling policies in the event of both rework
and reconditioning in job shop manufacturing systems. Since these events occur in …
and reconditioning in job shop manufacturing systems. Since these events occur in …
Temporal analysis of influence of resource failures on cyber-physical systems based on discrete timed petri nets
FS Hsieh - Applied Sciences, 2021 - mdpi.com
Featured Application An analysis method to assess and respond to the impact of resource
failures on deadline of orders in Cyber-Physical Systems based on transformation of …
failures on deadline of orders in Cyber-Physical Systems based on transformation of …
Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems
The cloud-edge collaborative manufacturing system (CCMS) connects distributed factories
to a cloud centre through cloud-edge collaborative communication, introducing both …
to a cloud centre through cloud-edge collaborative communication, introducing both …
Distributed decision-making in disrupted industrial environments using a multi-agent framework
M Bi - 2023 - deepblue.lib.umich.edu
The modern industrial environment is becoming more complex and dynamic due to
customized and shifting market demands, highly connected businesses, and frequently …
customized and shifting market demands, highly connected businesses, and frequently …
Stochastic production planning with flexible manufacturing systems and uncertain demand: A column generation-based approach
The ongoing pandemic, namely COVID-19, has rendered widespread economic disorder.
The deficiencies have delayed production at manufacturers in several industries on the …
The deficiencies have delayed production at manufacturers in several industries on the …