A new model of parallel-machine scheduling with integral-based learning effect

We introduce a new model of parallel-machine scheduling with job processing times described by proper Riemann integrals of a given function. We also formulate and prove a few properties of that model. Based on presented results, we show that some problems of parallel-machine scheduling of jobs with integral-based learning effect can be solved using polynomial algorithms applied earlier to fixed job processing times.