Research on Collaborative Selection of Complex Product Systems

Abstract

Whether a complex product system integrator can reasonably choose a collaborator is one of the key factors for the success of a complex product system R & D project. The study aims to provide a scientific basis for the selection of suitable collaborators for complex product system integrators, which offers a practical guide for the smooth development of complex product system R & D projects. Firstly, this work summarized the factors affecting the selection of collaborators based on the characteristics of complex product systems. Then, an evaluation index system model for collaborators of complex product systems based on AHP and gray correlation methods was built. Finally, an example analysis identified the feasibility of this method. The evaluation process is simple and intuitive, and the results are scientific and effective. Keywords—complex product system; collaborative quotient selection; grey relation degree; AHP; comprehensive evaluation