Aimed at makespan, carbon footprint, and machine load, a green low-carbon flexible job shop scheduling model with multiple transport equipment (GFJSP-MT) has been constructed. To address this problem, a relevant case dataset was formed, and a heuristic strategy NSGA-II usi...
20050131865Parallel-aware, dedicated job co-scheduling method and system2005-06-16Jones et al. 20050129039RDMA network interface controller with cut-through implementation for aligned DDP segments2005-06-16Biran et al. 20050122329Burst transfer register arrangement2005-06-09Janus ...
Among scheduling problems, flexible job shop scheduling problem (FJSP) is a NP hard problem full of difficulty and significance.. Moreover, the multi-objective optimization has aroused great interest of company managers. In this paper, an improved non-dominated sorting genetic algorithm (NSGA-II) ...
The flexible job-shop scheduling problem (FJSP) is common in high-mix industries such as semiconductor manufacturing. An FJSP is initiated when an operation can be executed on a machine assigned from a set of alternative machines. Thus, an FJSP consists of the machine assignment and job ...
Flexible job-shop scheduling problem (FJSP) is an extension of the simple JSP with additional features of routing flexibility. It is an essential class of sequencing and planning problems that can apply in many real-life applications, especially in the field of manufacturing systems and production ...
As a typical and basic scheduling problem, 10 benchmarks and three super large scale instances of flexible job shop scheduling are adopted and tested to prove the superiority of proposed dcEA. The numerical results show that dcEA has better performance and lower computational complexity....
JOB shopsSCHEDULINGFLOW shopsINTELLIGENT buildingsWith the rapid development of economic globalization and green manufacturing, traditional flexible job shop scheduling has evolved into the low-carbon heterogeneous distributed flexible job shop scheduling problem (LHDFJSP). Additionally, modern smart ...
multi-equipment work center; flexible job shop scheduling problem; setup time; handling time; multi-objective optimization; improved discrete particle swarm optimization1. Introduction With the intensification of market competition and the acceleration of product updates, the modern manufacturing industry is...
deep reinforcement learning; flexible job-shop scheduling problem; heterogeneous graph neural network; manufacturing job-shop scheduling1. Introduction The manufacturing industry is currently experiencing a number of significant challenges and opportunities as a result of globalization and technological innovation...
As a typical and basic scheduling problem, 10 benchmarks and three super large scale instances of flexible job shop scheduling are adopted and tested to prove the superiority of proposed dcEA. The numerical results show that dcEA has better performance and lower computational complexity.Sun, Lu...