We consider a special class of resource-constrained single machine scheduling problems. In the classical context, resource types are classified into renewable and non-renewable; however, large variety real-world problems may not fit one these classes, e.g. labour regulations in project scheduling, budget allocation to different phases construction project, dose management medical imaging centre...

This paper investigates the single-machine due-window assignment scheduling with truncated learning effects and past-sequence-dependent setup times simultaneously. The scheduler has option of job-rejection, i.e., some jobs are processed other rejected. Under three (i.e., common, slack different) methods, our goal is to minimize sum a general earliness-tardiness cost weighted earliness-tardiness...

In this paper we consider the single-machine setup times scheduling with general effects of deterioration and learning. By the general effects of deterioration and learning, we mean that the actual job processing time is a general function of the processing times of the jobs already processed and its scheduled position. The setup times are proportional to the length of the already processed job...