The flow shop scheduling problem is finding a sequence given n jobs with same order at m
machines according to certain performance measure (s). The job can be processed on at …

Since multi-objective flow shop scheduling problem (MFSP) plays a key role in practical
scheduling, there has been an increasing interest in MFSP according to the literature …

Smart manufacturing is the core in the 4th industrial revolution. Smart shop-floor is one of the
basic units of smart manufacturing. With the development of the advanced technologies (eg …

The real life scheduling problems often have several conflicting objectives. The solutions of
these problems can provide deeper insights to the decision maker than those of single …

Manufacturing and production plants operate physical machine that will deteriorate with
increased usage and time. Maintenance planning which can keep machines in good …

For effective modelling of flowshop scheduling problems, artificial neural networks (ANNs),
due to their robustness, parallelism and predictive ability have been successfully used by …

Bi-criteria flow shop scheduling problems with sequence dependent set up time (SDST)
have seen an increasing attention of managers and researchers in recent years. A very …

The right approach towards the optimisation of multi-objective nonlinear problem is the
incremental adoption of available techniques and strategies that help to minimise the …

Genetic algorithm is a powerful procedure for finding an optimal or near optimal solution for
the flowshop scheduling problem. This is a simple and efficient algorithm which is used for …

One of the most popular approaches for scheduling manufacturing systems is dispatching
rules. Different types of dispatching rules exist, but none of them is known to be globally the …