Computer aided optimization of scheduling and machining parameters in job shop manufacturing systems

Abstract

A nonlinear mathematical model for joint determination of optimal job shop schedule and process parameters selection is presented. The proposed model extends the production schedule (n parts and m machines) to accommodate the process parameters since both the process planning and the production schedule are highly related. The model developed relaxes the assumption that processing times are deterministic, since the processing times of operations depend on the sequence of the operations. The present work shows that the process parameters selection has a significant influence on the optimal schedule. The model developed has been tested and validated using numerical examples.