Q-learning-based teaching-learning optimization for distributed two-stage hybrid flow shop scheduling with fuzzy processing time

B Xi, D Lei - Complex System Modeling and Simulation, 2022 - ieeexplore.ieee.org
Two-stage hybrid flow shop scheduling has been extensively considered in single-factory
settings. However, the distributed two-stage hybrid flow shop scheduling problem (DTHFSP) …

Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem

Z Shao, W Shao, D Pi - Swarm and Evolutionary Computation, 2020 - Elsevier
In consideration of the uncertainty of manufacturing system, this paper investigates a
distributed fuzzy blocking flow-shop scheduling problem (DFBFSP) in which there are …

Effective constructive heuristic and metaheuristic for the distributed assembly blocking flow-shop scheduling problem

Z Shao, W Shao, D Pi - Applied Intelligence, 2020 - Springer
Scheduling in distributed production system has become an active research field in recent
years. This paper investigates the distributed assembly blocking flow-shop scheduling …

Two efficient nature inspired meta-heuristics solving blocking hybrid flow shop manufacturing problem

S Aqil, K Allali - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
The hybrid flow shop scheduling problem is one of the most relevant optimization problem in
manufacturing industry. In this paper, we investigate the blocking hybrid flow shop …

[HTML][HTML] A unified solution framework for flexible job shop scheduling problems with multiple resource constraints

GA Kasapidis, DC Paraskevopoulos, I Mourtos… - European Journal of …, 2025 - Elsevier
This paper examines flexible job shop scheduling problems with multiple resource
constraints. A unified solution framework is presented for modelling various types of non …

Parallel machine scheduling with a total energy consumption limitation for minimizing total completion time

K Li, F Xie, X Zhao, J Chen, T Zhou - Engineering Optimization, 2024 - Taylor & Francis
This article investigates an energy-efficient, identical parallel machine scheduling problem.
The objective is to minimize the total completion time while total energy costs do not exceed …

GRASP algorithms for the unrelated parallel machines scheduling problem with additional resources during processing and setups

A Lopez-Esteve, F Perea… - International Journal of …, 2023 - Taylor & Francis
This paper addresses an unrelated parallel machines scheduling problem with the need of
additional resources during the processing of the jobs, as well as during the setups that …

A priority-based heuristic approach for solving flexible flow-shop with parallel machine scheduling in a fuzzy environment

SAI Hussain, R Kalita, UK Mandal - Granular Computing, 2023 - Springer
The prime objective of the manufacturing industry is to meet the non-decreasing demand of
customers with quality products. Evaluation of optimal job sequence can largely increase the …

A Pareto-based discrete particle swarm optimization for parallel casting workshop scheduling problem with fuzzy processing time

W Zhou, F Chen, X Ji, H Li, J Zhou - Knowledge-Based Systems, 2022 - Elsevier
The parallel casting workshop scheduling problem is essentially a type of unrelated parallel
machine scheduling (UPMS) problem with fuzzy order processing time. In this paper, a tri …

A genetic algorithm for fuzzy identical parallel machine scheduling of minimising total weighted tardiness under resource constraint

K Li, L Xu, H Zhang, J Chen - International Journal of Production …, 2024 - Taylor & Francis
Due to the severity of resource consumption and uncertainty in orders, new challenges have
arisen for production scheduling in enterprises. This paper studies the scheduling problem …