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

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Li, Guoxi^1 ; Zheng, Jian^1 ; Zhang, Meng^1

College of Mechatronics Engineering and Automation National University of Defense Technology, Changsha, China^1

关键词: Configuration options;    Integrated optimization models;    Objective function values;    Objective functions;    Parallel optimization;    Product configuration;    Rapid product design;    Uncertain environments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052106/pdf
DOI  :  10.1088/1755-1315/252/5/052106

来源: IOP

【 摘 要 】

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, consider multiple uncertain factors existing in the process of development, and express multiple uncertainties with interval numbers, establish 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-II algorithm is improved, and then a series of configuration options are obtained by directly solving the interval type integration model. Finally, the typical lathe products are used to verify the method.