An Interval Optimization Model of Multi-Criteria Parameters in the Process of Selecting Manufacturing Suppliers

Abstract:

In the process of selecting manufacturing suppliers, most research works focus on the final decision making problem. However, the process is a dynamic and rapidly changing evolving one and it is necessary to gradually adjust and optimize multi-criteria parameters such as price, time and quality and so on. The objective of this paper is to propose an interval optimization model of multi-criteria parameters and introduce the distance metric of Euclidean distance and vector theories to construct the model. An adaptive genetic algorithm based on real encoding is applied to obtain the optimal solution. Finally, a practical example is implemented to verify the validity of the proposed model and approach.

• Periodical: Advanced Materials Research (Volume 601)
• Pages: 570-575
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.601.570
• Online since: December 2012
• Authors: Hong Fei Wang
• Keywords: Adaptive Genetic Algorithm (GA), Euclidean Distance, Interval Optimization, Multi-Criteria Parameters

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