Abstract: A production planning method of supply chain based on cloud manufacturing platform was presented. The purposes of this method were to minimize the makespan, total service cost and total transportation cost. In order to effectively solve the presented model, a genetic algorithm and an improved genetic-annealing algorithm were designed. Meanwhile, a model for selecting the efficient algorithms was established based on the makespan and total cost. The results of two algorithms in different situations were compared by simulation example, and then a selection criteria of the algorithms was given. The simulation results shown that the proposed method can provide a reasonable production plan for the supply chain based on the cloud manufacturing platform.

Key words: cloud manufacturing platform, supply chain, production plan, improved genetic-annealing algorithm