［Purposes］ Aiming at realizing the transformation of resource-saving manufacturing industry, a parallel machine scheduling model is established to minimize the sum of total delay and machine using cost. ［Methods］ According to the characteristics of the problem, an improved simulated annealing algorithm is developed to solve the model. The computation performance of the developed algorithm is tested by different scale instances. The sensitivity analysis of the problem parameters is carried out as well. ［Findings］ The developed algorithm can achieve a good computational efficiency and solution quality. ［Conclusions］ Sensitivity analysis shows that increasing resource reserves can effectively realize the transformation of resource-saving manufacturing industry while improving the customer service level of manufacturing enterprises. The established model can provide decision support for achieving resource-conservation manufacturing system.