Flow Shop Production Scheduling with No-wait Restrictions under Uncertainty

Flow shop production scheduling under uncertainty is considered, which includes the no-wait restrictions as its main waiting policy. The flow shop production scheduling model is set up based on the theory of fuzzy programming, in which fuzzy processing time denoted by a triangular fuzzy number is conducted. The maximum membership functions of mean value (MMFMV) is applied to transform the non-linear fuzzy scheduling model into an accurate non-linear model. An improved (simulated) annealing (SA) algorithm is proposed to verify and optimize the scheduling model, and a GANTT chart is finally (obtained) according to the optimization.