Job-shop scheduling with production interruption
The objective of this research is to develop a new evolutionary algorithm for solving and resolving job-shop scheduling problems when the production process is interrupted by any internal or external factors.
Description of Work:
- Studying and analysing the job-shop scheduling problems and their solution approaches.
- Designing and developing a new evolutionary algorithm for solving and resolving medium scale job-shop scheduling problems where the production can be interrupted by internal and external factors.
- Analysing the algorithm performance and carrying out the sensitivity analysis of different parameters required by the algorithm.
- Solving a reasonable number of benchmark problems and comparing them with the state-of-the-art algorithms (if any).
Knowledge of optimization /operations research /management science and good computer programming skills.