A survey of job shop scheduling problem: The types and models
H **ong, S Shi, D Ren, J Hu - Computers & Operations Research, 2022 - Elsevier
Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …
been concerned and studied widely by scholars in engineering and academic fields. This …
A systematic review of decision-making in remanufacturing
Potential benefits have made remanufacturing attractive over the last decade. Nevertheless,
the complexity and uncertainties associated with the process of managing returned products …
the complexity and uncertainties associated with the process of managing returned products …
Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems
Y Zhang, H Zhu, D Tang, T Zhou, Y Gui - Robotics and Computer-Integrated …, 2022 - Elsevier
Personalized orders bring challenges to the production paradigm, and there is an urgent
need for the dynamic responsiveness and self-adjustment ability of the workshop …
need for the dynamic responsiveness and self-adjustment ability of the workshop …
Real-time scheduling for dynamic partial-no-wait multiobjective flexible job shop by deep reinforcement learning
S Luo, L Zhang, Y Fan - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
In modern discrete flexible manufacturing systems, dynamic disturbances frequently occur in
real time and each job may contain several special operations in partial-no-wait constraint …
real time and each job may contain several special operations in partial-no-wait constraint …
Improved artificial immune system algorithm for type-2 fuzzy flexible job shop scheduling problem
J Li, Z Liu, C Li, Z Zheng - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
In practical applications, particularly in flexible manufacturing systems, there is a high level
of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced …
of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced …
Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints
X He, Z Wang, Y Li, S Khazhina, W Du, J Wang… - Reliability Engineering & …, 2022 - Elsevier
The machine remaining useful life (RUL), the job-machine release time and the correlation
between the maintenance duration and the machine enlistment age are, in this paper …
between the maintenance duration and the machine enlistment age are, in this paper …
A bi-population evolutionary algorithm with feedback for energy-efficient fuzzy flexible job shop scheduling
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times
In recent years, the uncertainties and complexity in the production process, due to the
boosted customized requirements, has dramatically increased the difficulties of Dynamic …
boosted customized requirements, has dramatically increased the difficulties of Dynamic …
Fuzzy optimization model for electric vehicle routing problem with time windows and recharging stations
S Zhang, M Chen, W Zhang, X Zhuang - Expert systems with applications, 2020 - Elsevier
As fuel prices increase and emission regulations become increasingly strict, electric vehicles
have been used in various logistics distribution activities. Most studies have focused on the …
have been used in various logistics distribution activities. Most studies have focused on the …
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop
With consideration of uncertainty in the distributed manufacturing systems, this paper
addresses a multi-objective fuzzy distributed hybrid flow shop scheduling problem with fuzzy …
addresses a multi-objective fuzzy distributed hybrid flow shop scheduling problem with fuzzy …