In this paper, scheduling problems in Flexible Manufacturing Cells (FMC) are studied. The scheduling objective is to minimize the makespan. We used a genetic algorithm (GA) for solving the optimization scheduling problem. We have developed one FMC with industrial characteristics with the objective of studying scheduling problems in these types of manufacturing systems (single machine scheduling...

This paper addresses a static, n-job, single-machine scheduling problem with sequence dependent family setups. The setup matrix follows a special structure where a constant setup is required only if a job from a smaller indexed family is an immediate successor of one from a larger indexed family. The objective is to minimize the maximum lateness (Lmax). A two-step neighborhood search procedure ...

The learning effects are widely studied in scheduling problems recently. Biskup [1] classified the learning effect models into two diverse approaches, namely the position -based and the sum-of-processing-time-based learning effect models. He further claimed that the position-based learning effect model seems to be a realistic assumption for the case that the actual processing of the job is main...