The decision making on production and distribution for high-tech companies is one of most important work in terms of right time and accuracy as well as total cost. This study proposes an efficient robust production and distribution planning methodology to cope with demand uncertainty inherent in supply chain networks of high-tech manufacturing. Computational experiments show that the performance of the proposed method is superior to that of deterministic approach using various scenarios.