Modern heuristic techniques for combinatorial problems
A genetic algorithm for flowshop sequencing
Computers and Operations Research - Special issue on genetic algorithms
A modified genetic algorithm for single machine scheduling
Computers and Industrial Engineering
Practical Handbook of Genetic Algorithms
Practical Handbook of Genetic Algorithms
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Minimizing total completion time on a single machine with a flexible maintenance activity
Computers and Operations Research
Incorporating periodic preventive maintenance into flexible flowshop scheduling problems
Applied Soft Computing
A genetic algorithm-based scheduler for multiproduct parallel machine sheet metal job shop
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
A genetic algorithm for two-stage no-wait hybrid flow shop scheduling problem
Computers and Operations Research
Integrated production scheduling and maintenance policy for robustness in a single machine
Computers and Operations Research
Hi-index | 0.00 |
Despite the inter-dependent relationship between them, production scheduling and preventive maintenance planning decisions are generally analyzed and executed independently in real manufacturing systems. This practice is also found in the majority of the studies found in the relevant literature. In this paper, heuristics based on genetic algorithms are developed to solve an integrated optimization model for production scheduling and preventive maintenance planning. The numerical results on several problem sizes indicate that the proposed genetic algorithms are very efficient for optimizing the integrated problem.