Parallel Optimization Method for Product Configuration and Supplier Selection Based on Interval

In order to realize the rapid product design and development under the uncertain environment, an optimization decision theory and method of product configuration and supplier selection based on interval information is proposed. This study proposes to combine the product configuration and supplier selection, considers multiple uncertain factors existing in the process of development, expresses multiple uncertainties with interval numbers, and establishes an integrated optimization model for interval-based product configuration and supplier selection with product cost, delivery period and product performance as the objective function. By redefining the Pareto dominance relation of the objective function value as interval, the NSGA-? algorithm is improved, and then a series of configuration options are obtained by directly solving the interval integration model. Finally, the typical lathe products are used to verify the method.