However, not only does this present some tractability issues, but also, probability distributions are better suited to model variability of repetitive tasks instead of uncertainty due to lack of information . The most common approach to handling uncertainty is that of stochastic scheduling, modelling the duration of tasks by probability distributions . However, for many real-world problems design variables such as processing times may be subject to perturbations or changes, dependent on human factors, etc. Traditionally, it has been assumed that scheduling problems are deterministic. This complexity is the reason why approximate methods and, in particular, metaheuristic search techniques, are especially suited for solving the job shop . One of the most relevant problems in scheduling is the job shop, both because it is considered to be a good model for many practical applications and because it poses a challenge to the research community due to its complexity. ![]() ![]() Scheduling plays an important role in most manufacturing and production systems as well as in most information processing environments, transportation and distribution settings and, more generally, in service industries .
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |