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 …

A systematic review of decision-making in remanufacturing

MI Rizova, TC Wong, W Ijomah - Computers & Industrial Engineering, 2020 - Elsevier
Potential benefits have made remanufacturing attractive over the last decade. Nevertheless,
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 …

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 …

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 …

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 …

A bi-population evolutionary algorithm with feedback for energy-efficient fuzzy flexible job shop scheduling

Z Pan, D Lei, L Wang - IEEE Transactions on Systems, Man …, 2021 - ieeexplore.ieee.org
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much
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

L Zhang, Y Feng, Q **ao, Y Xu, D Li, D Yang… - Journal of Manufacturing …, 2023 - Elsevier
In recent years, the uncertainties and complexity in the production process, due to the
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 …

A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop

J Zheng, L Wang, J Wang - Knowledge-Based Systems, 2020 - Elsevier
With consideration of uncertainty in the distributed manufacturing systems, this paper
addresses a multi-objective fuzzy distributed hybrid flow shop scheduling problem with fuzzy …