A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs
AGVs have gained significant popularity in various industries. However, the existing
literature rarely considers the integrated scheduling of production and logistics on the …
literature rarely considers the integrated scheduling of production and logistics on the …
Tabu search based on novel neighborhood structures for solving job shop scheduling problem integrating finite transportation resources
As advancements in transportation equipment intelligence continue, the job shop
scheduling problem integrating finite transportation resources (JSPIFTR) has attracted …
scheduling problem integrating finite transportation resources (JSPIFTR) has attracted …
An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems
The job-shop scheduling problem (JSP) is a well-known combinatorial optimization problem
in manufacturing systems. For the past two decades, real-number metaheuristics have been …
in manufacturing systems. For the past two decades, real-number metaheuristics have been …
A Knowledge-Driven Hybrid Algorithm for Solving the Integrated Production and Transportation Scheduling Problem in Job Shop
Intelligent transportation systems, incorporating multiple AGVs, are extensively utilized in
manufacturing workshops in various industries. This widespread use has spurred significant …
manufacturing workshops in various industries. This widespread use has spurred significant …
MILP Modeling and Optimization of Multi-objective Three-Stage Flexible Job Shop Scheduling Problem with Assembly and AGV Transportation
In the real manufacturing environment, the machining stage of the jobs and the assembly
stage of the products are often completed in different workshops. In addition, automatic …
stage of the products are often completed in different workshops. In addition, automatic …
Cooperative Communication Via Automated Guided Vehicle and Unmanned Aerial Vehicle: A Distributed Collaborate Beamforming Method
The advantages of autonomy, stability, and high load capability make automated guided
vehicles (AGVs) appealing for applications like intelligent transportation networks …
vehicles (AGVs) appealing for applications like intelligent transportation networks …
A Flexible Job Shop Scheduling Problem Considering On-Site Machining Fixtures: A Case Study From Customized Manufacturing Enterprise
The joint optimization of production scheduling and resource constraints is critical to modern
manufacturing systems. The number of auxiliary resources (fixtures) is usually insufficient in …
manufacturing systems. The number of auxiliary resources (fixtures) is usually insufficient in …
Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer
Transportation system in workshop is essential for high-efficient production scheduling. Due
to the limited transportation resources, the joint scheduling of production and transportation …
to the limited transportation resources, the joint scheduling of production and transportation …
Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints
Abstract The Flexible Job Shop Scheduling Problem with transportation constraints (FJSP-T)
widely exists in manufacturing industry. Despite its prevalence, relatively little research has …
widely exists in manufacturing industry. Despite its prevalence, relatively little research has …
An enhanced decomposition-based multi-objective evolutionary algorithm with neighborhood search for multi-resource constrained job shop scheduling problem
B Zhang, A Che - Swarm and Evolutionary Computation, 2025 - Elsevier
Abstract Today's industry 5.0 emphasizes the synergy between humans and equipment to
raise productivity. This paper investigates a multi-resource constrained job shop scheduling …
raise productivity. This paper investigates a multi-resource constrained job shop scheduling …