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Due to the TFT LCD manifestation into many related products, this industry has been growing rapidly along with demand increasing. To satisfy the demand, most companies have increased their production capacity and capability by increasing their number of factories in different places and causing complexity in this industry. Therefore, companies are required to optimize their production and distribution system. Thin film transistor–liquid crystal display (TFT LCD) panel manufacturing supply chain can be generally divided into three stages: array, cell, and module processes. Special characteristic of the TFT LCD manufacturing compared with other manufacturing is different capacity unit between its production chains. The capacity unit of array and cell is defined by the number of glass substrate, while the capacity unit of module is represented by the number of panel. TFT LCD manufacturing which is a multi-stage and multi-site supply chain requires high computational for optimizing the production and distribution of their array, cell, and module. This study develops a production and distribution planning model for the multi-stage and multi- site supply chain in TFT LCD industry. Genetic algorithm is proposed in this research to solve the problem. Maximizing capacity utilization and total profit in the supply chain are become the major performance indicator in this model. Experimental results show that the proposed algorithm is performs better than the comparison method. Robustness of the proposed algorithm is successfully justified by numerical experiment and a case study. For time efficiency of the proposed algorithm, parallel – genetic algorithm is designed in this research.