Results 31 to 40 of about 209,048 (425)
Reasonable scheduling of flexible job shop is key to improve production efficiency and economic benefits; in order to solve the problem in flexible job shop scheduling problem, a novel flexible job shop scheduling method based on improved artificial ...
Rui Zeng, Yingyan Wang
doaj +1 more source
A Method for Dynamic Insertion Order Scheduling in Flexible Job Shops Based on Digital Twins
Various production disturbances occurring in the flexible job shop production process may affect the production of the workshop, some of which may lead to the prolongation of production completion time.
Yajun Wang+4 more
doaj +1 more source
Multi-criteria scheduling of realistic flexible job shop: a novel approach for integrating simulation modelling and multi-criteria decision making [PDF]
Increased flexibility in job shops leads to more complexity in decision-making for shop floor engineers. Partial Flexible Job Shop Scheduling (PFJSS) is a subset of Job shop problems and has substantial application in the real world. Priority Dispatching Rules (PDRs) are simple and easy to implement for making quick decisions in real-time.
arxiv +1 more source
On the Job-Shop Scheduling Problem [PDF]
This is a proposal for the application of discrete linear programming to the typical job-shop scheduling problem—one that involves both sequencing restrictions and also noninterference constraints for individual pieces of equipment. Thus far, no attempt has been made to establish the computational feasibility of the approach in the case of large-scale
openaire +5 more sources
Job shop scheduling is one of the major issues in which the scheduling process is associated with the real-time manufacturing industry. A flexible job shop scheduling problem is one of the most important issues among the hardest combinatorial advancement
S Kavitha, P Venkumar
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An efficient genetic algorithm for job shop scheduling problems
The Job Shop Scheduling Problem (JSSP) is one of the most general and difficult of all traditional scheduling combinatorial problems with considerable importance in industry.
Gordan Janes+2 more
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Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems
In the past decades, many optimization methods have been devised and applied to job shop scheduling problem (JSSP) to find the optimal solution.
Chien-Liang Liu+2 more
semanticscholar +1 more source
Dynamic flexible job-shop scheduling (DFJSS) is a challenging combinational optimization problem that takes the dynamic environment into account. Genetic programming hyperheuristics (GPHH) have been widely used to evolve scheduling heuristics for job ...
Fangfang Zhang+3 more
semanticscholar +1 more source
Research on Adaptive Job Shop Scheduling Problems Based on Dueling Double DQN
Traditional approaches for job shop scheduling problems are ill-suited to deal with complex and changeable production environments due to their limited real-time responsiveness.
B. Han, Jianjun Yang
semanticscholar +1 more source
Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
Aiming at the problems of premature convergence of existing workshop dynamic data scheduling methods and the decline in product output, a flexible industrial job shop dynamic data scheduling method based on digital twin technology is proposed.
Juan Li, Xianghong Tian, Jing Liu
doaj +1 more source