关键词: 鲁棒优化, 产品配置问题, 云制造

Abstract: An increasing number of enterprises realize their personalized production by means of cloud manufacturing technology. To deal with the uncertainties in cloud manufacturing, a robust optimization approach to product configuration is proposed with the objective of minimizing the total configuration cost. The uncertainties in cloud manufacturing cost and time are characterized by using budget-based robust representation. The robust model is transformed into a robust counterpart model using the duality theory. As a result, commercial solvers such as CPLEX can be employed to solve the model to optimality. A configuration case is designed to illustrate the effectiveness of the robust model. Numerical experiments are conducted to demonstrate that the proposed model is more robust and can substantially improve the delivery date of products.

Key words: robust optimization, product configuration problem, cloud manufacturing