Multi-objective Reasoning of Customer Requirements Based on Bayes-Nash Equilibrium

For balancing customer satisfaction and enterprise product cost in product configuration under the circumstance of incomplete requirement information, a multi-objective reasoning method based on customer requirements was proposed. The equilibrium model among product multi-domain nodes was established based on Bayes-Nash equilibrium. Enterprise product cost and customer satisfaction were used as game payoff function, and strategy set of the game was determined by seeking the maximum similarity of structure, performance and cost domain. Nash equilibrium solution was solved by simulated annealing algorithm（SA）, and the product configuration scheme meeting the interest of the games was obtained. As a result, configuration reasoning of a workshop automated guided vehicle（AGV） was taken as the example to prove the effectiveness of the method proposed in this paper.