Abstract: This paper mainly studied how to obtain global optimal solutions to collaborative optimization decisionmaking in supply chain management under the premise of protecting the upstream and downstream members’s private information. By using secure multiparty computation theory and some basic protocols, this paper discussed the supply chain collaborative optimization algorithm for models with linear structure under the semihonest model and proposed an antiinfered approach to the linear programming model of which constraint matrix data is distributed in different parties by row and objective function is also another party’s privacy information. Compared with the traditional methods of secure multiparty computation, this algorithm has higher efficiency.

Key words: supply chain management; collaborative optimization; SMC; horizontally partitioned