An interactive approach for a dual-constraint job shop scheduling problem
Computers and Industrial Engineering
Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems
Fuzzy Sets and Systems - Special issue on operations research
Genetic algorithm crossover operators for ordering applications
Computers and Operations Research - Special issue on genetic algorithms
A modified genetic algorithm for single machine scheduling
Computers and Industrial Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Improved genetic algorithm for the permutation flowshop scheduling problem
Computers and Operations Research
Evolutionary Scheduling: A Review
Genetic Programming and Evolvable Machines
A fuzzy genetic algorithm for real-world job shop scheduling
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Order Assignment and Scheduling in a Supply Chain
Operations Research
An Almost-Optimal Algorithm for the Assembly Line Scheduling Problem
IEEE Transactions on Computers
Generation of new service concepts: A morphology analysis and genetic algorithm approach
Expert Systems with Applications: An International Journal
A real-coded genetic algorithm for constructive induction
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A fuzzy-GA wrapper-based constructive induction model
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An adaptive annealing genetic algorithm for the job-shop planning and scheduling problem
Expert Systems with Applications: An International Journal
A hybrid intelligent model for order allocation planning in make-to-order manufacturing
Applied Soft Computing
On the Latest Times and Float Times of Activities in a Fuzzy Project Network with LR Fuzzy Numbers
International Journal of Fuzzy System Applications
Modeling and Pareto optimization of multi-objective order scheduling problems in production planning
Computers and Industrial Engineering
Hi-index | 12.06 |
In this paper, the order scheduling problem at the factory level, aiming at scheduling the production processes of each production order to different assembly lines is investigated. Various uncertainties, including uncertain processing time, uncertain orders and uncertain arrival times, are considered and described as random variables. A mathematical model for this order scheduling problem is presented with the objectives of maximizing the total satisfaction level of all orders and minimizing their total throughput time. Uncertain completion time and beginning time of production process are derived firstly by using probability theory. A genetic algorithm, in which the representation with variable length of sub-chromosome is presented, is developed to generate the optimal order scheduling solution. Experiments are conducted to validate the proposed algorithm by using real-world production data. The experimental results show the effectiveness of the proposed algorithm.